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Hadoop Trainer Jobs in Chennai | Part Time Hadoop Trainer Required @ IICT, Chennai. Description: IICT Infotech is the Training and Development Firm which was running more than 5+ years in Chennai. We are all working in various companies and providing high-class training to the students. IICT Infotech is the Best Institute for SOFTWARE TRAINING. We are one of the premier institutes which provide software training with a real time experienced faculty. We distinguish ourselves by providing the most advanced versions of technologies with flexibility and reliability. Hadoop Trainer Job in Chennai [IICT Infotech] Immediate Job opening in Hadoop Real Time Trainer Part Time Job vacancy in IICT Infotech. IICT is very good booming company as well as Best Real time training institute in Chennai. Above 30 Trainers working in IICT and more than 500+ students & Employees trained by them. Trainers are all working in MNC company and they give real time training in their(students or employees) wanted subjects. Education: (UG - Any Graduate - Any Specialization),OR (PG - Post Graduation) Experience in teaching,training the Hadoop Technologies in real time role. Enhancing skills of the trainees. Flexible Timings (Weekdays / Weekends) Salary No Constrain. Providing them support for Technical interview preparation Hands-on programming skills in Hadoop Domain. Industry: IICT Infotech Experience: 3 to 5 yrs.in Hadoop domain Education / Teaching / Training Functional Area: Training/ Teaching Role Category: Trainers Trainer Keyskills: Hadoop Anybody will know or working in Hadoop, they will walk in anytime to the given address. No., Third Floor, First Cross Street, Newcolony, Chrompet, Chennai- mins walk from Chrompet railway station and Bus stop. Once you reach Chromepet bus stop or Railway Station ask for Chrompet Police Station. Once you reach Police Station ask for Sri Krishna Sweets and Dr.Batra's. Before Sri Krishna Sweets one small road turns once you turn right side Second Building (Third floor) is IICT (White Colour Building). Related Tags: Part time Hadoop Trainer in Chennai, Required Hadoop Trainer in Chennai, Wanted Part time Hadoop Trainer in Chennai, Urgent Need Hadoop Trainer in Chennai, Urgent Wanted Hadoop Trainer in Chennai, Urgently Required Hadoop Trainer in Chennai, Urgently Wanted Part time Hadoop Trainer in Chennai, Urgent Opening for Hadoop Trainer in Chennai, Part time Hadoop Trainer in T Nagar, Wanted Part time Hadoop Trainer in Chrompet, Chennai, Trainee Jobs, Hadoop Corporate Jobs, Hadoop Corporate trainers, Jobs in Hadoop Corporate, Hadoop Corporate trainer Jobs, Hadoop Corporate Trainer, Part Time Hadoop Corporate Trainer, Part Time Hadoop Corporate, Hadoop Corporate Training,Hadoop Corporate Openings, Openings for Hadoop Corporate, Urgent Openings for Hadoop Corporate, Vacany for Hadoop Corporate, Immediate opening for Hadoop Corporate, Part-time Trainer required, Opening for Hadoop Corporate in chennai, Urgent Openings for Hadoop Corporate Job, Trainee Jobs, Hadoop jobs, Hadoop trainers, jobs in Hadoop, Hadoop traner jobs, Hadoop trainer, Hadoop training, Hadoop openings, Openings for Hadoop, Best Hadoop training in Chennai, No.1 Hadoop Training institute in Chennai, Top Hadoop Training Institute in Chennai, Hadoop Training Center in Chennai, Best Hadoop training institutes in Chennai, Excellent Hadoop Training center in Chennai, Best Hadoop Training in Chennai with placement, Hadoop Jobs in Chennai, Online Trainer Jobs in Chennai.

HADOOP trainers Required in elegant it services good salary in partime • Introduction to Big Data and Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • HBASE Concepts • Mongo DB Concepts • Sqoop Concepts • Real Life Use Cases Introduction to Big Data and Hadoop • What is Big Data? • What are the challenges for processing big data? • What technologies support big data? • What is Hadoop? • Why Hadoop? • History of Hadoop • Use Cases of Hadoop • Hadoop eco System • HDFS • Map Reduce • Statistics Understanding the Cluster •Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness • 5 daemons Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • Algorithms for simple problems • Algorithms for complex problems Developing the Map Reduce Application • Data Types • File Formats • Explain the Driver, Mapper and Reducer code • Configuring development environment - Eclipse • Writing Unit Test • Running locally • Running on Cluster • Hands on exercises c • Anatomy of Map Reduce Job run • Job Submission • Job Initialization • Task Assignment • Job Completion • Job Scheduling • Job Failures • Shuffle and sort • Oozie Workflows • Hands on Exercises Map Reduce Types and Formats • MapReduce Types • Input Formats - Input splits & records, text input,binary input, multiple inputs & database input. • Output Formats - text Output, binary output, multiple outputs, lazy output and database output • Hands on Exercises. Map Reduce Features •Counters • Sorting • Joins - Map Side and Reduce Side • Side Data Distribution • MapReduce Combiner • MapReduce Partitioner • MapReduce Distributed Cache • Hands Exercises Hive and PIG • Fundamentals • When to Use PIG and HIVE • Concepts • Hands on Exercises HBASE • CAP Theorem • Hbase Architecture and concepts • Programming and Hands on Exercises Case Studies Discussions Thanks&Regards Elegant IT Services, #nd Floor,Aswath Nagar Varthur main road,Near Railway Fly Over Maratha halli,Land mark: Chemmunar Jewellers,

Hadoop Big Data Training Program Leading Big Data Hadoop Training Institute in Hyderabad, India. Join Today! ________________________________________ Internet marketing saw a huge change with the emergence of Big Data. Huge volumes of data collected from numerous sources are being used to create and develop marketing strategies that have the competitive edge. But how can one manually consolidate and correlate literarily millions of units of data. This brought about the development of Best Institute for Hadoop in hyderabad An open source framework, Hadoop allows you to store and process data in large scale. Developed by Doug Cutting and Mike Cafarella, this software is a registered under the Apache Software Foundation. The programming language used in Java, though in some places user interfaces such as like Pig Latin and a SQL variant have found use. The various modules of a Hadoop framework include Hadoop Distributed File System (HDFS), Hadoop Common, Hadoop YARN and Hadoop MapReduce. Hadoop is now being used by Facebook, Amazon, Yahoo and other major websites to cluster and consolidate all the data they collect. When you take up a Big Data training online program, you will be able to study the various facets of this open source program. You can also learn how to use this software framework to consolidate data and convert it into measurable information. Learning Big Data Hadoop training in Hyderabad will give you a competitive edge in the job market as data will always be in demand, thanks to the growing network of Internet and its related branches. Some of the topics that you will cover when you take up a Big Data Training program include concepts of Hadoop Distributed File System, MapReduce framework, MapReduce, Data Loading Techniques and the other features of this software program. You will also learn to analyze data using techniques such as Pig and Hive. The other components of the training program will probably include Hadoop administrative and developer tasks. You will also learn the basics of HBase and Hive architecture. This training will prove useful for developers, administrators as well as data analysts. When you are well versed in the basic functionalities of this software program, you will be able to analyze loads of data to find reliable information. So, who can study this program? Software professionals, software testers, and even managers can take up this program to develop specialized skills. You should have a good working knowledge of Java in order to study Hadoop Big Data Training Now that you know the importance of Big Data, take up a Big Data training online program and improve your working knowledge and chances for a better job opportunity. To know more about the syllabus and training program from Hadoop Training in Hyderabad Ameerpet visit http://hadooptraininginhyderabad.co.in/ Contact Hadoop Training in Hyderabad Address: Flat No. 302, Annapurna Block, Ameerpet, Hyderabad 16 Phone: +91-

Hadoop Big Data Training Attend a free Demo session on BIG DATA ECO SYSTEM What is Hadoop Big Data Training? In the current era of computing technology every thread of information that you receive via the means of the internet is important. It is even more important to be able to make sense out of the data that you get to study the market trends and make informed decisions to ensure that your company makes good business strategies. Hadoop Big Data Training will help you being an expert in the field of data collection and processing using Hadoop application. Course Focus The Hadoop Big Data Training focuses on developing the Hadoop application usage skills. It also allows you to study the current market trends to make informed decisions before investing in a particular business. How Will Hadoop Big Data Training Help You? The field of Big Data Analysis is constantly growing and will help you in going for top-level positions in IT-based companies. The Hadoop Big Data Training will help you in getting jobs at several MNCs that deal with market trends on a daily basis. You can easily get jobs in social media companies that deal with studying the market trends to know about the perfect timing for the launch of a product or an update for an application. The course also involves a project at the end of the completion of training to give you a fair idea about the practical applications of Big Data Analysis. Job Opportunities The Hadoop Big Data training gives a provision for jobs in several IT-based companies which deal with huge chunks of data on a daily basis. You can also get a job in MNC that needs to make decisions after studying the demographics of several countries to make informed choices about business strategies. For further queries, contact 7550194475 Venue Details: No 18, 1st floor, Siddhi Vinayagar Complex, Kalaignar Karunanidhi Road, Sholinganallur. Chennai – 600119.

Hadoop Certification Training The demand for Big Data Hadoop professionals is increasing across the globe and it’s a great opportunity for the IT professionals to move into the most sought technology in the present day world. KVCH offers instructor led Big data & Hadoop course in NOIDA delivered by industry experts. The training is studded with loads of practical assignments, case studies and project work, which ensures hands on experience for the participants. The training program is meticulously designed to become a professional of Big data Hadoop developer and crack the job in the space of Big Data. Why learn Big Data and Hadoop? Big Data Hadoop training is one of the most sought after in the industry and has helped thousands of Big Data professionals around the globe bag top jobs in the industry. Big Data & Hadoop Market is expected to exponential growth by 2022. Who should attend Hadoop Course? Big Data analytics is growing across the globe and this growth translates into a great job opportunity for everyone. Developers and Architects, Mainframe professionals, Testing professionals, IT professionals. For further doubts n queries contact: KVCH C-109, Sec-2, Noida 9212468526

HADOOP DEVELOPER TRAINING IN CHENNAI, PERIDOT SYSTEMS, 100%JOB Peridot systems provide both offline and online mode of training. To join please contact ruban(9952010141).We will provide you free demo classes. Trainers are MNC working professionals. We will give you 100% job assurance Pre-requisites: To learn hadoop developer, core java and good analytical skills are needed. We provide a complimentary Course “Java Essentials for Hadoop” to all learners to brush up java skills needed to write Map reduce Programs. Target learners: If you are interested in Architecture & Fundamentals, Map reduces Programming and real time Analytics then you can be a Hadoop developer. Content: Introduction Hadoop Motivation Basic concepts and HDFS Map Reduce Hadoop cluster and ecosystems Writing a Map Reduce Program using Java Writing a Map Reduce Program Using Streaming Unit Testing Map Reduce Programs Unit Testing Map Reduce Programs Practical Development Tips and Techniques Practical Development Tips and Techniques Practical Development Tips and Techniques Common Map Reduce Algorithms Joining Data Sets in Map Reduce Jobs Integrating Hadoop into the Enterprise Workflow An Introduction to Hive, Imapala, and Pig An Introduction to Oozie Conclusion For More Details, Visit Our Website: www.peridotsystems.in Venue: KamatchiKrupaApts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu – 600020 Selvakumar – 9952010141

HADOOP DEVELOPER TRAINING IN CHENNAI, PERIDOT SYSTEMS, 100%JOB Peridot systems provide both offline and online mode of training. To join please contact ruban().We will provide you free demo classes. Trainers are MNC working professionals. We will give you 100% job assurance Pre-requisites: To learn hadoop developer, core java and good analytical skills are needed. We provide a complimentary Course “Java Essentials for Hadoop” to all learners to brush up java skills needed to write Map reduce Programs. Target learners: If you are interested in Architecture & Fundamentals, Map reduces Programming and real time Analytics then you can be a Hadoop developer. Content: Introduction Hadoop Motivation Basic concepts and HDFS Map Reduce Hadoop cluster and ecosystems Writing a Map Reduce Program using Java Writing a Map Reduce Program Using Streaming Unit Testing Map Reduce Programs Unit Testing Map Reduce Programs Practical Development Tips and Techniques Practical Development Tips and Techniques Practical Development Tips and Techniques Common Map Reduce Algorithms Joining Data Sets in Map Reduce Jobs Integrating Hadoop into the Enterprise Workflow An Introduction to Hive, Imapala, and Pig An Introduction to Oozie Conclusion For More Details, Visit Our Website: www.peridotsystems.in Venue: KamatchiKrupaApts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu – Selvakumar –

HADOOP ANALYST TRAINING IN CHENNAI,PERIDOT SYSTEMS, 100% JOB Warm greetings from PERIDOT, Join with us to get placed in MNC.Give a call to ruban(9952010141) to know more. Peridot systems offer a software training course to get job easily in MNC. Trainers are MNC working proffesionals. We are providing a certified course at affordable cost. First your welcome to attend a free demo classes.... Pre-requisites: To learn hadoop admin, basic knowledge of SQL is needed. We provide a complimentary Course “SQL basic” to all learners to brush up SQL. Target learners: If you are Interested in SQL & Scripting Languages, Large Scale Date set operation, Creating values then you can be a Hadoop data analyst. Content: Introduction Hadoop Fundamentals Basic Data Analysis with Pig Processing Complex Data with Pig Multi-Dataset Operations with Pig Extending Pig Pig Troubleshooting and Optimization Introduction to Hive Relational Data Analysis with Hive Hive Data Management Text Processing with Hive Hive Optimization Extending Hive Introduction to Impala Analyzing Data with Impala Choosing the Best Tool for the Job Conclusion For More Details, Visit Our Website: www.peridotsystems.in Venue: KamatchiKrupaApts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu – 600020 Selvakumar – 9952010141

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering,

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join and...

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau  1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map ..........

Hadoop and big data coaching in malleswaram|bangalore| CEGONSOFT PVT LTD is offering classes on HADOOP AND BIG DATA. Cegonsoft is a Bangalore based IT Training and Software Development center with an exclusive expertise in the area of HR consultancy started in the year of . Cegonsoft is a Dutch word meaning Never Ending, this implies that our service to you is unflinching. Cegonsoft with over a decade of proficiency and experience in the field of training and placement has mushroomed out into 3 branches in Bangalore and 1 branches in Coimbatore. Cegonsoft syllabus will bridge the gap between jobseekers and the companies. We pay more importance to practical working knowledge. What is this course about? Big Data and Hadoop Certification from Cegonsoft is designed to ensure that you are job ready to take up an assignment in Hadoop & Big Data. This training not just equips you with essential Hadoop skills, but also gives you the required knowledge in Big Data Analytics via implementation of real life industry projects. With the number of Big Data career opportunities on the rise, Hadoop is fast becoming a must-know technology for the following professionals: •Anyone with a genuine interest in Big Data Analytics •Graduates looking to build a career in Big Data Analytics • software Developers and Architects •Analytics Professionals •Data Management Professionals •Business Intelligence Professionals •Project Managers •Aspiring Data Scientists Prerequisite: Knowledge of Java is needed for this course. Hence, we are providing complimentary access to “Java Essentials for Hadoop” along with this course. Why Hadoop and Big Data? -77% of companies consider Big Data a top priority - Peer Research Survey -Big Data needs 1.5 mn managers by - McKinsey Global Report -Avg salary of Big Data Hadoop Developers is $153k -Salary Data for further details and assistance contact SHILPA PLACEMENT COORDINATOR

Hadoop Big Data Training course helps you learn the core techniques and concepts of Big Data and Hadoop ecosystem. It equips you with in-depth knowledge of writing codes using MapReduce framework and managing large data sets with HBase. The topics covered in this course mainly includes- Hive, Pig and setup of Hadoop Cluster. Big Data is a set of unstructured and structured data that is complex in nature and is growing exponentially with each passing day. Organizations are facing a major challenge in storing and utilizing this enormous data. This problem spans across the world because of a serious dearth of skilled programmers. 30 hrs of live online classes by highly qualified Hadoop professionals In-session practice exercises for gaining practical understanding Suitable for database developers, programmers, BI developers and DBA�s bigdata hadoop, hadoop training, data analytics training, bigdata analytics Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in . Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals. Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20 To register for upcoming classes weekends(Classroom) July - Fast Track (Classroom)- July Online Class- July

Hadoop Training in Mumbai. Techdata solution is a premier organization for Inhouse, Corporate training and software job assistance. Techdata solution is started by IT Industry experts and well experienced software trainers. We are providing comprehensive Inhouse, Corporate training in the most demanded technologies in the contemporary IT World, with real-time exposure.  Locations:Mumbai. Topics Covered: HADOOP Course topics that covered by our professionals: Introduction to Hadoop: 1.What is Hadoop? 2.History of Hadoop. 3.Who is behind Hadoop? 4.Configuring HDFS. 5.Interacting With HDFS. 6.HDFS Permissions and Security. 7.Additional HDFS Tasks. 8.HDFS Installation. 9.Hadoop File System Shell. 10.File System Java API. Hadoop Training in Mumbai provideing The Following Services: •Soft Copy Material •Access To Recording Sessions On Demand Basis •Certification Material And Guidelines •Consultancy Guidelines •Interview Questions& Answers (or) FAQs •Mock Interviews •Sample Resumes & Resume Guidance •24x7 Online Technical Support •Online Training For Week End And Regular Batches For more details please go through the website.               +91 -

Hadoop classroom training in mumbai Techdata solution is a premier organization for Inhouse, Corporate training and software job assistance. Techdata solution is started by IT Industry experts and well experienced software trainers. We are providing comprehensive Inhouse, Corporate training in the most demanded technologies in the contemporary IT World, with real-time exposure.  Locations:Mumbai. Topics Covered:   HADOOP Course topics that covered by our professionals: Introduction to Hadoop: 1.What is Hadoop? 2.History of Hadoop. 3.Who is behind Hadoop? 4.Configuring HDFS. 5.Interacting With HDFS. 6.HDFS Permissions and Security. 7.Additional HDFS Tasks. 8.HDFS Installation. 9.Hadoop File System Shell. 10.File System Java API.   Hadoop Training in Mumbai provideing The Following Services:   •Soft Copy Material •Access To Recording Sessions On Demand Basis •Certification Material And Guidelines •Consultancy Guidelines •Interview Questions& Answers (or) FAQs •Mock Interviews •Sample Resumes & Resume Guidance •24x7 Online Technical Support •Online Training For Week End And Regular Batches   For more details please go through the website.               +91 – 9702066624

HADOOP: Are you looking for Hadoop which is on swing, Then you have to go for RS Trainings. our institute is the best for providing Hadoop course. you are learning under the guidance of Mr.Venkat who is having 10+ years of experience in real time environment and in teaching field too, you are going to have a project which can be done during the course under the faculty guidance. We are also providing job assistance for Hadoop. Online, classroom,and corporate batches are there throughout the week.our contact details are: Phone: +91-905-269-9906

Hadoop Big Data training course designed by industry experts considering current industry job requirements to provide in-depth learning on big data and Hadoop Modules. This is an industry recognized Big Data certification training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing, and analytics. So, what makes you wait? Contact Delta academy today and learn more about the courses on offer. For a free demo contact Delta Academy 080-4114 37 37 7259 94 94 94

Hadoop is an open source, a Java-based programming framework that supports the processing and storage of extremely large data. Enroll now with ONLINE IT GURU of Hadoop Admin online training. Benefits of Onlineitguru Free Demo Lifetime access to the videos Low fee 24x7 Guidance Support. Training by industry experts Live Projects. Resume Preparation. Interview Preparation. Real-Time Job Support. contact Information:

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BIGDATA –HADOOP REALTIME TRAINING,JOB SUPPORT,INTERVIEW SUPPORT BY HANDS-ON EXPERTS Phone/WhatsApp: +91-(850) 012-2107 Course Content HADOOP Using Cloudera Development & Admin Course Introduction to BigData, Hadoop:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice

FOR FREE DEMO contact us at: Phone/WhatsApp: +91-(850) 012-2107 HADOOP ONLINE TRAINING BY REALTIME CORPORATE PROFESSIONALS Hadoop Course Content (we can customize the course content as per your requirement) HADOOP Using Cloudera Development & Admin Course Introduction to BigData, Hadoop:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice Phone/WhatsApp: +91-(850) 012-2107

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Introduction to Big Data and Hadoop What is Big Data? What are the challenges for processing big data? What technologies support big data? Distribution systems. What is Hadoop? Why Hadoop? History of Hadoop Use Cases of Hadoop Hadoop eco System HDFS Map Reduce Statistics Understanding the Cluster Typical workflow Writing files to HDFS Reading files from HDFS Rack Awareness 5 daemons Developing the Map Reduce Application Configuring development environment - Eclipse Writing Unit Test Running locally Running on Cluster MapReduce workflows How MapReduce Works Anatomy of a MapReduce job run Failures Job Scheduling Shuffle and Sort Task Execution MapReduce Types and Formats MapReduce Types Input Formats - Input splits & records, text input, binary input, multiple inputs & database input Output Formats - text Output, binary output, multiple outputs, lazy output and database output MapReduce Features Counters Sorting Joins - Map Side and Reduce Side Side Data Distribution MapReduce Combiner MapReduce Partitioner MapReduce Distributed Cache Hive and PIG Fundamentals When to Use PIG and HIVE Concepts

​ HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics • Installations • Backups • Snapshots 2. Linux Basics • Installations • Commands 3. Hadoop Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats.,

​ HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics • Installations • Backups • Snapshots 2. Linux Basics • Installations • Commands 3. Hadoop Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes Name node • Secondary name node • Job tracker.,

​ HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics • Installations • Backups • Snapshots 2. Linux Basics • Installations • Commands 3. Hadoop Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs Map-side join • Reduce-Side join 9. Map reduce – customization Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…...

Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes (NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages:- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample