Hadoop Realtime Online Training from ibase Phoenix AZ

FOR FREE DEMO contact : Email : info@ibasetraining.com Phone/WhatsApp : +91-8106721223 USA Number : +1-650-993-1007 Gtalk : ibasetraining@gmail.com WebSite: http://www.ibasetraining.com HDFS and MAPREDUCE ✧ Introduction to BIG DATA and Its characteristics ✧ 4 V’s of BIG DATA(IBM Definition of BIG DATA) ✧ What is Hadoop? ✧ Why Hadoop? ✧ Core Components of Hadoop ✧ Intro to HDFS and its Architecture ✧ Difference b/w Code Locality and Data Locality ✧ HDFS commands ✧ Name Node’s Safe Mode ✧ Different Modes of Hadoop ✧ Intro to MAPREDUCE ✧ Versions of HADOOP ✧ What is Daemon? ✧ Hadoop Daemons? ✧ What is Name Node? ✧ What is Data Node? ✧ What is Secondary name Node? ✧ What is Job Tracker? ✧ What is Task Tracker? What is Edge computer in Hadoop Cluster and Its role ✧ Read/Write operations in HDFS ✧ Complete Overview of Hadoop1.x and Its architecture ✧ Rack awareness ✧ Introduction to Block size Introduction to Replication Factor(R.F) ✧ Introduction to HeartBeat Signal/Pulse ✧ Introduction to Block report ✧ MAPREDUCE Architecture ✧ What is Mapper phase? ✧ What is shuffle and sort phase? ✧ What is Reducer phase? ✧ What is split? ✧ Difference between Block and split ✧ Intro to first Word Count program using MAPREDUCE ✧ Different classes for running MAPREDUCE program using Java Mapper class ✧ Reducer Class and Its role ✧ Driver class ✧ Submitting the Word Count MAPREDUCE program ✧ Going through the Jobs system output ✧ Intro to Partitioner with example ✧ Intro to Combiner with example ✧ Intro to Counters and its types ✧ Different types of counters ✧ Different types of input/output formats in HADOOP ✧ Use cases for HDFS & MapReduce programs using Java ✧ Single Node cluster Installation ✧ Multi Node cluster Installation ✧ Introduction to Configuration files in Hadoop and Its Imp. ✧ Complete Overview of Hadoop2.x and Its architecture ✧ Introduction to YARN ✧ Resource Manager ✧ Node Manager ✧ Application Master(AM) ✧ Applications Manager(AsM) ✧ Journal Nodes ✧ Difference Between Hadoop1.x and Hadoop2.x ✧ High Availability(HA) ✧ Hadoop Federation PIG ✧ Intro to PIG ✧ Why PIG? ✧ The difference between MAPREDUCE and PIG ✧ When to go with MAPREDUCE? ✧ When to go with PIG? ✧ PIG data types ✧ What is field in PIG? ✧ What is tuple in PIG? ✧ What is Bag in PIG? ✧ Intro to Grunt shell? ✧ Different modes in PIG ✧ Local Mode ✧ MAPREDUCE mode ✧ Running PIG programs ✧ PIG Script ✧ Intro to PIG UDFs ✧ Writing PIG UDF using Java ✧ Registering PIG UDF ✧ Running PIG UDF ✧ Different types of UDFs in PIG ✧ Word Count program using PIG script ✧ Use cases for PIG scripts HIVE ✧ Intro to HIVE ✧ Why HIVE? ✧ History of HIVE ✧ Difference between PIG and HIVE ✧ HIVE data types ✧ Complex data types ✧ What is Metastore and its importance? ✧ Different types of tables in HIVE ✧ Managed tables ✧ External tables ✧ Running HIVE queries ✧ Intro to HIVE partitions ✧ Intro to HIVE Buckets ✧ How to perform the JOINS using HIVE queries ✧ Intro to HIVE UDFs ✧ Different types of UDFs in HIVE ✧ Running HIVE queries for Word Count example ✧ Use cases for HIVE HBASE ✧ Intro to HBASE ✧ Intro to NoSQL database ✧ Sparse and dense Concept in RDBMS ✧ Intro to columnar/column oriented database ✧ Core architecture of HBase ✧ Why Hbase? ✧ HDFS vs HBase ✧ Intro to Regions, Region server and Hmaster ✧ Limitations of Hbase ✧ Integration with Hive and Hbase ✧ Hbase commands ✧ Use cases for HBASE FLUME ✧ Intro to Flume ✧ Intro to Sink, Source, Flume Master and Flume agents ✧ Importance of Flume agents ✧ Live Demo on copying LOG DATA into HDFS SQOOP ✧ Intro to Sqoop ✧ Importing and exporting the RDBMS into HDFS ✧ Intro to incremental imports and its types ✧ Use cases to import the Mysql data into HDFS ZOOKEEPER ✧ Intro to Zookeeper ✧ Zookeeper operations OOZIE ✧ Intro to Oozie ✧ What is Job.properties ✧ What is workflow.xml ✧ Scheduling the jobs in Oozie ✧ Scheduling MapReduce, HIVE,PIG jobs/Programs using Oozie. ✧ Setting up the VMware for Hadoop ✧ Installing all Hadoop Components ✧ Intro to Hadoop Distributions ✧ Intro to Cloudera and its major components SCALA ✧ Getting started With Scala. ✧ Scala Background, Scala Vs Java ✧ Introduction to Scala – REPL ✧ Scala data types, variables, simple functions. ✧ Intro to Scala compiler ✧ Installing Scala on Linux ✧ Intro to Functional Programming Language ✧ Differences between OOPS and FPP ✧ Word count pgm, file handling ✧ Running Scala script ✧ Intro to Maps, Sets, groupBy, Options, flatten, flatMap and more SPARK ✧ What is Spark Ecosystem ✧ Batch vs real time data processing ✧ Intro to Spark Architecture ✧ Installing Scala on Linux ✧ Scala utility in Spark ✧ Spark Cluster Managers ✧ Spark -Standalone mode Installation ✧ Spark on YARN ✧ Spark on MESOS ✧ What is SparkContext ✧ Intro to RDDs ✧ Intro to DAG ✧ RDD’s lineage ✧ How to work on RDD in Spark ✧ What is transformations and Actions ✧ Intro to Spark Streaming(SS) ✧ Intro to Discretized Streams RDD ✧ Applying Transformations and Actions on Streaming data ✧ Intro to Spark Streaming Architecture ✧ Applying transformations and Actions on SS data ✧ How to run a Spark Cluster ✧ Comparison of MapReduce vs Spark ✧ Integration of Hadoop and Spark TABLEAU ✧ Tableau Fundamentals ✧ Tableau Analytics ✧ Visual Analytics ✧ Creating different types of WorkSheets,Dashboards and Stories. ✧ Connecting with different data sources ✧ Hadoop Integration with Tableau Note:- Various Hands on exercises, Realtime use cases and Assignments on each & every Eco-System and Project Guidance. — For course content please follow the link : http://ibasetraining.com/hadoop-bigdata-online-training-job-support-from-india/ Hadoop online training from new york, Hadoop online training from new jersy, Hadoop online training from dallas, Hadoop online training from washington, Hadoop online training from texas

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