Big machine

Big data project centers in Chennai for final years @ QUAD Big data is an upcoming technology in IT industry. Quad Softwares is the best final year project center in Chennai for big data. Big data analytics is the process of examining large data sets containing a variety of data types to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits. The primary goal of big data analytics is to help companies make more informed business decisions by enabling data scientists, predictive modelers and other analytics professionals to analyze large volumes of transaction data, as well as other forms of data that may be untapped by conventional business intelligence (BI) programs. That could include Web server logs and Internet clickstream data, social media content and social network activity reports, text from customer emails and survey responses, mobile-phone call detail records and machine data captured by sensors connected to the Internet of Things. Some people exclusively associate big data with semi-structured and unstructured data of that sort. It is very easy to get guidelines for developing your final year project in Big data at Quad Softwares. Visit us to meet bigdata expert. Contact: Mala Nagarajan Mob: / / Ph: 044- Address: Quad Softwares, No.122.Pandurangan Colony, Pillayar Koil Street,Vadapalani,Chennai-26

Big data systems are invading enterprise data centers at a rapid rate, but they often lack the controlled access, data encryption, and other protections inherent in relational systems, according to a SANS Institute survey of 206 companies. Big data systems increasingly serve as the repository for personal-identification information and corporate intellectual property. hadoop big data,big data training,online hadoop training,hadoop training bangalore,hadoop training hyderabad,cloudera hadoop,cloudera hadoop training,cloudera training Hadoop Training Chennai: Offering expert End-To-End consulting, implementation, and support services from Requirement Analysis � Design � Implementation � Testing � Deployment �in Big Data [Hadoop Stack], Machine Learning, Data Mining, Sentiment Analysis, Analytics, and more Hadoop training chennai from Experts | PoC Project | Big Data Associate Certificate Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20 To register for upcoming classes weekends(Classroom) July - Fast Track (Classroom) - June Online Class - June

Big Data Trends: 1. Big Data as a Service and Big Data Analytics will go mainstream 2. More companies will implement Predictive Analytics, Machine Learning 3. Data Science and Big Data Analytics will be embedded in BI for actionable Insights into Operational Reports and Executive Dashboards 4. Cloud computing and Big Data will be tightly integrated with BI solutions High expertise with open source BI Tools such as Pentaho, Jaspersoft which reduces the initial licensing investment up to 90% Hadoop Training, Classroom, Online, Corporate Training in Chennai Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20 To register for upcoming classes weekends(Classroom) January - Fast Track (Classroom)- January

Big Data Hadoop refers to the large and complex set of data that are difficult to process using traditional processing systems It comprises of volume of data, velocity at which the data is created, and variety in the data.Sources of big data include social networks, telecom and mobile services, healthcare and public systems (such as Aadhaar) and machine generated data. Stock exchanges like NYSE and BSE generates Terabytes of data every day. Social media sites like Facebook generate data that are approximately 500 times bigger than stock exchanges. ACLM Big Data Hadoop Training is designed for professionals from Indirapuram, Vaishali, Kaushambi, Vasundhara, Sahibabad, noida, Ghaziabad and delhi ncr region.

We are provide thesis guidance on BIG DATA in following topics • Using R Analysis of Big data like social media,biological data • HADOOP • Cloud with big data • Machine learning with big data • Virtual machine with big data • Window azure • Clustering Big Data • Energy-efficient parallel processing in Big data • Development of tools for energy profiling in Big data • Job scheduling in large scale heterogeneous systems in Big data • Analysis of new hardware for scientific computing in Big data • Energy and performance monitoring of heterogeneous scientific computing system in Big data

Embedding big data analytics in operations leads to a 4.25x improvement in order-to-cycle delivery times, and a 2.6x improvement in supply chain efficiency of 10% or greater. The enormity of big data is not confined to only volume and velocity; it is also referred by the variety, variability and complexity of the data. So it requires more than just some tweaks and upgrades for fully realising the potential of big data.� The most in-demand skills are VMWare expertise, application development, open source technology, data warehousing and Python programming skills. Big Data �Analytics Training in Chennai, Big data R Analytics Training in Chennai, Big Data Hadoop Analytics Training in Chennai, Data Analytics Training in Chennai, R Analytics Training in Chennai, Big Data Analytics Training with R Language Hands-on Hadoop Training in Chennai from Industry Experts Hadoop Training Chennai: Offering expert End-To-End consulting, implementation, and support services from Requirement Analysis � Design � Implementation � Testing � Deployment �in Big Data [Hadoop Stack], Machine Learning, Data Mining, Sentiment Analysis, Analytics, and more Work on Cloud Servers powered by AWS Cloud Be a Part of Proof of Concept Project (PoC) � get Hands On Project Experience. Big Data �Analytics Training in Chennai, Big data R Analytics Training in Chennai, Big Data Hadoop Analytics Training in Chennai, Data Analytics Training in Chennai, R Analytics Training in Chennai, Big Data Analytics Training with R Language Become a Big Data Expert with Comprehensive Hadoop Instructor-Led Courses First Main Road, Adyar, Chennai - Hadoop Training in Chennai | Classroom Training from Certified Experts ! Upcoming Training Schedule - Weekends (1 Month) September Fast Track (5 Days) - September Online (Self-paced e-learning) - September

Warm Greetings from SLN Technologies, Velachery, Chennai DATA SCIENCE AND MACHINE LEARNING TRAINING DETAILS: Duration: Each Platform 100 Hrs. Training Fee: Rs.20000 Batch Schedule available Timing: 7 AM to 9 AM (Monday to Friday) Batch Schedule available Timing: 10 AM to 2 PM (Saturday and Sunday) Eligible Streams: MCA / M.E / M.Tech / B.E / B.Tech (2016,2017,2018 Pass out and experience candidates also. Interested Candidate Kindly call @ Senthil - 9382207007, 9443558751 Office Address: SLN Technologies, No:52, Velachery Main Road, Velachery, Chennai-42. Data Science Certification Course Topics: Learning Objectives - Get an introduction to Data Science in this module and see how Data Science helps to analyze large and unstructured data with different tools. Topics: What is Data Science? What does Data Science involve? Era of Data Science Business Intelligence vs Data Science Life cycle of Data Science Tools of Data Science Introduction to Big Data and Hadoop Introduction to R Introduction to Spark Introduction to Machine Learning Data Science and Machine Learning Certification Course all Topics: Introduction to Data Science Statistical Inference Data Extraction, Wrangling and Exploration Introduction to Machine Learning Classification Techniques Unsupervised Learning Recommender Engines Text Mining Time Series Deep Learning Warm Regards Senthilvel Technical Lead SLN Technologies, Chennai

Rs Trainings Provides You the Live Experience In Hadoop With Good Quality of Classroom and Online Training. Hadoop is an open source dispersed preparing structure that oversees information handling and capacity for enormous information applications running in groupes frameworks. It is at the focal point of a developing environment of enormous information innovations that are principally used to help progressed examination activities, including prescient investigation, information mining and machine learning applications. Hadoop can deal with different types of organized and unstructured information, giving clients greater adaptability for gathering, preparing and examining information than social databases and information distribution centers give. Hadoop Online Training In Hyderabad, India, USA, UK, Australia, Malaysia, Singapore, Dubai.

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SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Contact us today for practical Data Science & Big Data /Data Analytics Online Training: Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

Course / Training duration: (25+ Hours) – Both Weekdays or Weekends Location: Chennai Area: Velachery 100ft road About Credo Systemz: Credo Systemz is the leading training institute and android development company located in Velachery 100ft road,which is providing all kind of Software related training for the candidates with the expertise knowledge. About Trainer: Actually trainers in Credo Systemz are working professionals who are working in leading CMMI level 5 MNC’s and the experience of the trainers will range minimum from 8 -10 Years minimum. They also have experience in training space for around 7 Years. About Hadoop: Hadoop is an Apache Software Foundation Project that provides two things Hadoop Distributed File System (HDFS) Framework and API for building and running Map Reduce Jobs HDFS is build almost similar to Unix File System except data storage is distributed across several machines. It has built in mechanisms to handle machine outages and optimized for better output rather than latency. HDFS cluster consists of Data Node, Name Node and Secondary Name Node. Data can be accessed using either the Java API or the Hadoop Command. The features of HDFS are Scalability, FailureTolerent, Space, Pairs well with map machine. Above all Hadoop Map/Reduce is a software framework for easily writing applications which process vast amounts of data (multi-terabyte data-sets) in-parallel on large clusters (thousands of nodes) of commodity hardware in a reliable, fault-tolerant manner. Hadoop Training syllabus: Introduction to hadoop and Big data Challenges in Hadoop Distributed systems Advantages of distributed system Hadoop architecture HDFS and Maps Eco Systems Hives HBase and Map FSO operations How to read data from hadoop URL Hadoop Streaming Map Reduce Chain mapping API SQOOP Benefit of this Training: 1. With this training you (candidate) will get more knowledge about Hadoop. 2. Training will be like both Theoretical as well as Practical Oriented. 3. Theoretical Knowledge will be very much helpful while attending interviews. 4. Practical knowledge will be very much helpful to complete your assigned task 5. You will get real time inputs from the trainer as he/she is having real time experience in the industry. 6. We will be conducting the Online Mock Certification exam is the biggest specialty in clearing exams. 7. Trainers will conduct the MOCK INTERVIEW. 8. Mock Interview will help you to evaluate yourself like a) Identify your Strength and b) Mitigate your Weakness. Contact Details: Name: Vickram PhNum: Address: New # 30, Old # 16A, Third Main Road, Rajalakshmi Nagar, Velachery, (Opp. to MuruganKalyanaMandapam) Chennai - .

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit SequelGate Training Institute  Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Classroom Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 3 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Classroom Demo, please visi Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course.

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

Go Learn IT Services is run by Data Scientists Big Data professionals with rich experience in IT data analytics Industry. We offer a definite edge in your IT analytics career. Our unique value proposition is bridge between users current skills Industry needs. This puts our customers on a lead by making them Industry ready day they complete the course. Our Training schedule is flexible with a continuous monitoring support our subject matter experts by providing real time case studies assignments Technologies: Python R Hadoop Spark Kafka Topics: Big Data Analytics Machine Learning' Data Science

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About Big Data – Hadoop course: Big Data – Hadoop Course is for those who are new to big data science and are interested in understanding Big Data Era and want to pursue a career in Big Data Science. Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. This course is for those who want to start thinking as how Big Data will be useful in their business or career. By the time you complete this course, you will be able to: •Describe the Big Data landscape and architect. •Install and run a program using Hadoop! •Explain the 6 V’s of Big Data and •Monitoring, store, analyze and report. •Get value out of Big Data by using a 5-step process to structure your analysis. To complete Big Data – Hadoop course, no prior programming experience is required, all that you need to know is how to install applications and use a virtual machine to complete the hands-on assignments. We promise you a seamless learning experience and to make it real we are providing life time access to the LMS, some benefits of LMS; •Class recording delivered by trainers •Class Presentation – If any •Time to time assignments and quiz •Project data set •Installation – Resource and Guide •You can check your queries with trainers and Bach mates Why you should join Trainingbees? •Interactive and engaging learning style •Customized Course Curriculum – As per industry relevance •Learn at your convenience •Real Time "Practical scenarios” •24/7 Customer support •Certification Guidance We guarantee you a great learning experience, and wish you all the best for your future endeavor. Thank you Amit Kumar

About Big Data – Hadoop course: Big Data – Hadoop Course is for those who are new to big data science and are interested in understanding Big Data Era and want to pursue a career in Big Data Science. Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. This course is for those who want to start thinking as how Big Data will be useful in their business or career. By the time you complete this course, you will be able to: •Describe the Big Data landscape and architect. •Install and run a program using Hadoop! •Explain the 6 V’s of Big Data and •Monitoring, store, analyze and report. •Get value out of Big Data by using a 5-step process to structure your analysis. To complete Big Data – Hadoop course, no prior programming experience is required, all that you need to know is how to install applications and use a virtual machine to complete the hands-on assignments. We promise you a seamless learning experience and to make it real we are providing life time access to the LMS, some benefits of LMS; •Class recording delivered by trainers •Class Presentation – If any •Time to time assignments and quiz •Project data set •Installation – Resource and Guide •You can check your queries with trainers and Bach mates Why you should join trainingbees? •Interactive and engaging learning style •Customized Course Curriculum – As per industry relevance •Learn at your convenience •Real Time "Practical scenarios” •24/7 Customer support •Certification Guidance We guarantee you a great learning experience, and wish you all the best for your future endeavour.

Hadoop for Developers and Administrators Hadoop for Developers and Administrators Syllabus COURSE CONTENT Traning at hadoop school of training Magarpatta city Pune. (+91-93257-93756) www.hadoopschooloftraining.co.in Next level of development and administration Schedule: Day 1:BigData • Why is Big Data important • What is Big Data • Characteristics of Big Data • How did data become so big • Why should you care about Big Data • Use Cases of Big Data Analysis • What are possible options for analyzing big data • Traditional Distributed Systems • Problems with traditional distributed systems • What is Hadoop • History of Hadoop • How does Hadoop solve Big Data problem • Components of Hadoop • What is HDFS • How HDFS works • What is Mapreduce • How Mapreduce works • How Hadoop works as a system Day2: Hadoop ecosystem • Pig • What is Pig • How it works • An example • Hive • What is Hive • How it works • An example • Flume • What is Flume • How it works • An example • Sqoop • What is Sqoop • How it works • An example • Oozie • What is Oozie • How it works • An example • HDFS in detail • Map Reduce in details Day3: Hands On-¬‐ • VMsetup • Setting up Virtual Machine • Installing Hadoop in Pseudo Distributed mode Day 4: Hands On-¬‐ • Programs • Running your first MapReduce Program • Sqoop Hands on • Flume Hands Day 5: • Multinode cluster setup • Setting up a multimode cluster Day 6: • Planning your Hadoop cluster • Considerations for setting up Hadoop Cluster • Hardware considerations • Software considerations • Other considerations Day 7: Disecting the Wordcount Program • Understanding the Driver • Understanding the Mapper • Understanding the Reducer Day 8: • Diving deeper into MapReduce • API • Understanding combiners • Understanding partitioners • Understanding input formats • Understanding output formats • Distributed Cache • Understanding Counters Day 9: • Common Mapreduce patterns • Sorting Serching • Inverted Indexes Day 10: • Common Mapreduce patterns • TF-IDF • Word-Cooccurance Day 11: • Hands on Mapreduce Day 12: • Hands on Mapreduce Day 13: • Introduction to Pig and Hive • Pig program structure and execution process • Joins • Filtering • Group and Co-Group • Schema merging and redefining schema • Pig functions • Motivation and Understanding Hive • Using Hive Command line Interface • Data types and File Formats • Basic DDL operations • Schema Design Day 14: • Hands on Hive and Pig Day 15: • Advanced Hadoop Concepts • Yarn • Hadoop Federation • Authntication in Hadoop • High Availbability Day 16: • Administration Refresher • Setting up hadoop cluster - Considerations • Most important configurations • Installation options Day 17: • Scheduling in Hadoop • FIFO Scheduler • Fair Scheduler Day 18: • Monitoring your Hadoop Cluster • Monitoring tools available • Ganglia • Monitoring best practices Day 19: • Administration Best practices • Hadoop Administration best practices • Tools of the trade Day 20: • Test • Test – 50 questions test (20- Development releated, 20- • Administration related and 10 Hadoop in General Please Contact- Hadoop School of Training Destination Center, Second Floor Magarpatta City Pune: 411013 Phone: India: +91-93257-93756 USA: 001-347-983-8512 www.hadoopschooloftraining.co.in Email: learninghub01@gmail.com Skype: learning.hub01

See why Big Data is serious business..!!! Apache Hadoop framework is composed in the different modules,Hadoop powers big data digital marketing platform Big Data is data that cannot be processed using the resources of a single machine,Hadoop is the core platform for structuring Big Data, and solves the problem Hadoop training chennai, Hadoop training bangalore, online hadoop training, cloudera hadoop training, hadoop classroom training, hadoop bigdata We live in a fast-moving, complex world of increasingly connected people and connected things that are creating vast new digital footprints. Findings from our study "Big & Fast Data: The Rise of Insight-Driven Business" show that we are now at an inflexion point where big data has created entire new ways of getting insight from data at a technology level. Big data, Hadoop big challenges: Hadoop in the enterprise 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

Final year project centers in Chennai for BigData,QuadSoftwares Big data is an upcoming technology in IT industry. Quad Softwares is the best final year project center in Chennai for big data. Big data analytics is the process of examining large data sets containing a variety of data types to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits. The primary goal of big data analytics is to help companies make more informed business decisions by enabling data scientists, predictive modelers and other analytics professionals to analyze large volumes of transaction data, as well as other forms of data that may be untapped by conventional business intelligence (BI) programs. That could include Web server logs and Internet clickstream data, social media content and social network activity reports, text from customer emails and survey responses, mobile-phone call detail records and machine data captured by sensors connected to the Internet of Things. Some people exclusively associate big data with semi-structured and unstructured data of that sort. It is very easy to get guidelines for developing your final year project in Big data at Quad Softwares. Visit us to meet bigdata expert. Contact: Mala Nagarajan Mob: / / Ph: 044- Address: Quad Softwares, No.122.Pandurangan Colony, Pillayar Koil Street,Vadapalani,Chennai-26

About The Course This Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. Course Objectives After the completion of the Data Science course, you should be able to: Gain insight into the 'Roles' played by a Data Scientist Analyse Big Data using R, Hadoop and Machine Learning Understand the Data Analysis Life Cycle Work with different data formats like XML, CSV and SAS, SPSS, etc. Learn tools and techniques for data transformation Understand Data Mining techniques and their implementation Analyze data using machine learning algorithms in R Work with Hadoop Mappers and Reducers to analyze data Implement various Machine Learning Algorithms in Apache Mahout Gain insight into data visualization and optimization techniques Explore the parallel processing feature in R

bout The Course This Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. Course Objectives After the completion of the Data Science course, you should be able to: Gain insight into the 'Roles' played by a Data Scientist Analyse Big Data using R, Hadoop and Machine Learning Understand the Data Analysis Life Cycle Work with different data formats like XML, CSV and SAS, SPSS, etc. Learn tools and techniques for data transformation Understand Data Mining techniques and their implementation Analyze data using machine learning algorithms in R Work with Hadoop Mappers and Reducers to analyze data Implement various Machine Learning Algorithms in Apache Mahout Gain insight into data visualization and optimization techniques Explore the parallel processing feature in R No. 780, 2nd Floor, JK Nirmala Arcade, 80 Feet Main Road, Koramangala 4 Block, Koramangala, Bengaluru, Karnataka 560095

About The Course This Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. Course Objectives After the completion of the Data Science course, you should be able to: Gain insight into the 'Roles' played by a Data Scientist Analyse Big Data using R, Hadoop and Machine Learning Understand the Data Analysis Life Cycle Work with different data formats like XML, CSV and SAS, SPSS, etc. Learn tools and techniques for data transformation Understand Data Mining techniques and their implementation Analyze data using machine learning algorithms in R Work with Hadoop Mappers and Reducers to analyze data Implement various Machine Learning Algorithms in Apache Mahout Gain insight into data visualization and optimization techniques Explore the parallel processing feature in R No. 780, 2nd Floor, JK Nirmala Arcade, 80 Feet Main Road, Koramangala 4 Block, Koramangala, Bengaluru, Karnataka 560095

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Schedules for PRACTICAL Data Science & Big Data /Data Analytics Online Training Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801