Oracle hadoop corporate

BEST HADOOP TRAINING IN HYDERABAD @Sadguru Technologies Ph: What is hadoop? We are providing hadoop training under Yashwanth, MTech, and Technical Manager in CMMI Level 5 Company with 9+ years of middleware experience, successfully placed above 800+ members in 1 year. We provide sufficient lab facility and also 24/7 online Lab facility, Student can connect from home to do the LAB practical’s. Offered Courses (Class Room & Online): Oracle Application Integration Architecture (AIA) Oracle Service Oriented Architecture(SOA) suite11g Development Web Logic & SOA Administration Oracle Service Bus (OSB) Oracle Business Process Management (BPM) Application Development Framework(ADF) Oracle Applications Framework (OAF) Web Sphere Application Server (WAS)

Oracle 11g corporate trainer is required salary is no bar. Minimum 20000k/m

Description for "Oracle OBIEE corporate training in India" OBIEE 11g , OBIEE 10g , Siebel Analytics ,Obia Dac Data warehouse Concepts · Data warehouse · Data mart · Basics of Data Warehousing · What is OLTP and OLAP? · Difference between OLTP and OLAP · Dimensional Modeling Overview · Introduction to Dimensional Modeling · Dimensional table · Fact table · Aggregate table · Star schema · Snowflake schema · Star schema Vs. Snowflake schema · Fact Vs. Dimension table · Fact Vs. Aggregate Table · Types of Facts · Types of Fact tables · Types of Dimensions · Level of Granularity · Grain of fact · Slowly Changing Dimensions( SCD ) · Normalization · DE normalization OBIEE Overview · Introduction to Siebel Analytics · Introduction to OBIEE 10 G · What is Obiee? · Advantages of Obiee · End to End Life Cycle of Obiee · Types of Reports · Types of Applications · Components OF Obiee · Client Components Of Obiee · Obiee Architecture · Difference between Obiee 10g and Siebel Analytics · Difference between Obiee 10g

Oracle OSB11g Training in Hyderabad@Sadguru Technologies Ph: What is OSB IIg? We are providing hadoop training under Yashwanth, MTech, and Technical Manager in CMMI Level 5 Company with 9+ years of middleware experience, successfully placed above 800+ members in 1 year. We provide sufficient lab facility and also 24/7 online Lab facility, Student can connect from home to do the LAB practical’s. http://tuffclassified.com/oracle-osb-suite11g-training-in-hyderabad_Offered Courses (Class Room & Online): Oracle Service Bus (OSB) Oracle Service Oriented Architecture(SOA) suite11g Development Web Logic & SOA Administration Oracle Application Integration Architecture (AIA) Oracle Business Process Management (BPM) Application Development Framework(ADF) Oracle Applications Framework (OAF) Web Sphere Application Server (WAS) Oracle Billing & Revenue Management (BRM) Sales Force CRM, Siebel CRM Business Analyst (BA)

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 HIVE

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 HIVE II. PIG • Basics • Installation and Configurations • Commands….

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

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

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

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.,,..

BEST HADOOP TRAINING IN HYDERABAD @Sadguru Technologies Ph: What is hadoop? We are providing hadoop training under Yashwanth, MTech, and Technical Manager in CMMI Level 5 Company with 9+ years of middleware experience, successfully placed above 800+ members in 1 year. We provide sufficient lab facility and also 24/7 online Lab facility, Student can connect from home to do the LAB practical’s. Offered Courses (Class Room & Online): Oracle Application Integration Architecture (AIA) Oracle Service Oriented Architecture(SOA) suite11g Development Web Logic & SOA Administration Oracle Service Bus (OSB) Oracle Business Process Management (BPM) Application Development Framework(ADF) Oracle Applications Framework (OAF) Web Sphere Application Server (WAS) Oracle Billing & Revenue Management (BRM) Sales Force CRM, Siebel CRM Business Analyst (BA) Address: SADGURU TECHNOLOGIES

​ 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.,

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

OBIEE Online Training Course Overview Oracle Business Intelligence Enterprise Edition(OBIEE) course is an intense training course that is designed for the students to give maximum exposure to oracle business intelligence suite components. This course is designed for those professionals who are looking for Great career as Consultant in BI Technology. This course provides a solid foundation on OBIEE 11g. Participants will learn to design the Repository, Creating Answers/Analysis Requests, and Interactive Dashboard, Delivers, OBIEE 11g/Fusion Middleware Security and OBIEE-BI Publisher integration What Is OBIEE ? OBIEE Means Oracle Business Intelligence Suite, Enterprise Edition and it is an innovative & comprehensive BI platform, delivers the full BI capabilities on a next-generation architecture .OBIEE designed for true enterprise deployment.OBIEE enables IT organizations to define a single, logical view Of Complete enterprise data-whether in a single data warehouse or across multiple operational and analytic sources-and provide business users with new levels of self-sufficiency to access, interact with, and utilize this information to increase effectiveness.Pervasive - highly intuitive and interactive 100% Web UI brings rich and powerful BI from across sources to any audience, delivering insight where and when users need it to drive actions, decisions, and business processes - without requiring special BI expertise or power user skills.Comprehensive without Compromise - full range of BI capabilities, including interactive intelligence dashboards, ad hoc analysis, proactive detection and alerts, intelligent workflow, enterprise reporting, disconnected analytics, MS Office integration, real-time predictive analytics, and more. Hot-Pluggable - leverages existing IT investments, including Oracle and non-Oracle databases, applications, and custom solutions Oracle Business Intelligence Online Training Registration Types: Instructor-Led Regular Online (Limited Persons Per Group) Training Instructor-Led Online On Demand Training ( 1-1 or Corporate Training )

OBIEE Online Training Course Overview Oracle Business Intelligence Enterprise Edition(OBIEE) course is an intense training course that is designed for the students to give maximum exposure to oracle business intelligence suite components. This course is designed for those professionals who are looking for acle Business Intelligence Suite, Enterprise Edition and it is an innovative & comprehensive BI platform, delivers the full BI capabilities on a next-generation architecture .OBIEE designed for true enterprise deployment.OBIEE enables IT organizations to define a single, logical view Of Complete enterprise data-whether in a single data warehouse or across multiple operational and analytic sources-and provide business users with new levels of self-sufficiency to access, interact with, and utilize this information to increase effectiveness.Pervasive - highly intuitive and interactive 100% Web UI brings rich and powerful BI from across sources to any audience, delivering insight where and when users need it to drive actions, decisions, and business processes - without requiring special BI expertise or power user skills.Comprehensive without Compromise - full range of BI capabilities, including interactive intelligence dashboards, ad hoc analysis, proactive detection and alerts, intelligent workflow, enterprise reporting, disconnected analytics, MS Office integration, real-time predictive analytics, and more. Hot-Pluggable - leverages existing IT investments, including Oracle and non-Oracle databases, applications, and custom solutions Oracle Business Intelligence Online Training Registration Types: Instructor-Led Regular Online (Limited Persons Per Group) Training Instructor-Led Online On Demand Training ( 1-1 or Corporate Training )