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Big Data Hadoop, Spark, Storm, Scala Training - Combo

Big Data Hadoop, Spark, Storm, Scala Training - Combo

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Big Data Hadoop, Spark, Storm, Scala Training - Combo

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This course is comprises of Hadoop, Spark, Scala, Storm. Here are the topics covered in this combo course.

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About Hadoop all in 1, Spark, Storm, Scala Training Course

This course is comprises of Hadoop, Spark, Scala, Storm. Here are the topics covered in this combo course.

Hadoop: Introduction to Hadoop and its Ecosystem, Mapreduce and HDFS, Deep Dive in Mapreduce and Yarn, Deep Dive in Pig, Deep Dive in Hive,  Introduction to Hbase architecture, Hadoop Cluster Setup and Running Mapreduce Jobs, Major Project – Putting it all together and Connecting Dots,  Advance Mapreduce, Impala, ETL Connectivity with Hadoop Ecosystem, Hadoop Cluster Configuration, Hadoop Administration and Maintenance, Hadoop Monitoring and Troubleshooting, Hadoop Multi Node Cluster Setup and Running Mapreduce Jobs on Amazon Ec2, High Availability Federation, Yarn and Security, Advance Oozie, Advance flume, Advance hue,  Advance impala, Advance zookeeper.

Apache StormStorm Architecture, Apache storm installation, Grouping, What is Trident, Boot Stripping

Projects:

  • Real Life Storm Project
  • The project bolt blue print

Apache Spark: Why Spark? Explain Spark and Hadoop Distributed File System, spark Components, Common Spark Algorithms-Iterative Algorithms, Graph Analysis, Machine Learning, Running Spark on a Cluster, Writing Spark Applications using Python, Java, Scala, RDD and its operation, Spark, Hadoop, and the Enterprise Data Centre, Common Spark Algorithms, Spark Streaming.

Mini Projects:

Project 1. List the items
Project 2. Sorting of Records
Project 3. Show a histogram of date vs users created. Optionally, use a rich visualization like
Project 4. Prepare a map of tags vs. # of questions in each tag and display it.

Major Projects:

Project 1 Movie Recommendation
Project 2 Twitter API Integration for tweet Analysis
Project 3 Data Exploration Using Spark SQL – Wikipedia dataset

Apache Scala:

Introduction of Scala, Executing the Scala code, Classes concept in Scala, Case classes and pattern matching, Concepts of traits with example, Scala java Interoperability, Scala collections, Mutable collections vs. Immutable collections, Use Case bobsrockets package

This Combo course comes with a great discount!! Hurry up and avail the offer!!

Learning Objectives:

The key objectives of this online Big Data Hadoop Tutorial and training program  are to enable developers to:

  • Programming in YARN (MRv2) latest version of Hadoop Release 2.0
  • Implementation of HBase, MapReduce Integration, Advanced Usage and Advanced Indexing.
  • Advance Map Reduce exercises – examples of Facebook sentiment analysis, LinkedIn shortest path algorithm, Inverted indexing.
  • Derive an insight into the field of Data Science
  • Understand the Apache Hadoop framework
  • Learn to work with Hadoop Distributed File System (HDFS)
  • Implement Multi node cluster using 3-4 instances of Amazon ec2.
  • Ability to design and develop applications involving large data using Hadoop eco system.
  • Differentiate between new as well as old APIs for Hadoop
  • Understand how YARN engages in managing compute resources into clusters
  • Setting up Hadoop infrastructure with single and multi node cluster on Amazon ec2(CDH4).
  • Know best practices of using Hadoop in enterprise world
  • ETL tool connectivity with Hadoop, real time case studies etc.
  • Detailed hands on with Impala for real time queries on Hadoop.
  • Writing Hive and Pig Scripts and working with Sqoop.
  • Implementation of HBase, MapReduce Integration, Advanced Usage and Advanced Indexing.
  • Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience.
  • Implement linked-in algorithms – Identification of Shortest path for 1st level or 2nd level connection using Mapreduce.
  • Play with Datasets – Twitter data set for sentiment analysis, Whether dataset, Loan Data set.
  • Guidance and Quiz to prepare for Professional Certification exams like – Cloudera, etc.
  • Ability to design and develop applications involving large data using Hadoop eco system.
  • Optimize Hadoop cluster for the best performance based on specific job requirements
  • Monitor a Hadoop cluster and execute routine administration procedures
  • Deal with Hadoop component failures and recoveries
  • Get familiar with related Hadoop projects: Hbase, Hive and Pig

Last but not the least, the Hadoop online tutorial program prepares programmers for better career opportunities in the world of Big Data!

Recommended Audience:

This course is recommended for:

  • Professionals aspiring to make a career in Big Data Analytics using Hadoop Framework.
  • Java Developers / Architects, Data warehouse developers /SAAS Professionals/Architects

Why Go for Hadoop Training?

Hadoop is a combination of online running applications on a very huge scale built of commodity hardware. Hadoop is uncluttered source software which is handled by the Apache Software Foundation and it’s very helpful in storing and handling huge amounts of data inexpensively and professionally. Basically Hadoop collects huge packets of data and classifies this data using MapReduce.

If you are looking for Hadoop Jobs and you are a Hadoop professional then there are a lot of jobs about Hadoop and related technologies. There are many companies like Google, Yahoo, Apple, Hortonworks, ebaY, Facebook, ORACLE, IBM, Microsoft, and CISCO which are looking for skilled professionals having experience in this field and are capable of managing the Big Data in their companies. If you are a professional of Hadoop then you could be one of them. These companies such as Google, Facebook, and ORACLE etc are looking for the Hadoop Professionals at different levels such as database Administrators, Hadoop Professionals having complete operational skills, Hadoop engineers & also senior Hadoop engineers, big data Engineers, Hadoop developers and also Java Engineers (DSE Team).

Research of IDC shows that the Big Data market revenue’s will grow at 31.7 percent a year and it will hit the $23.8 billion mark in 2016. According to the latest research by market the Hadoop and Big Data world widely is expected to growth about 13.9$ billion by 2017.

Hadoop all in 1 Combo: Hadoop is a person who just loves programming and he must have knowledge about basic programming language, SQL and other languages along with remarkable skills.

Companies Using Hadoop:

Amazon Web Services, IBM, Hortonworks, Cloudera, Intel, Microsoft, Pivotal, Twitter, Salesforce, AT&T Stumbleupon, Ebay, Yahoo, Facebook, Hulu etc.

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level:
All
Durataion:
102 HRS
Project:
154 HRS
Language:
English
Institute:
Intellipaat
Access:
LIFETIME ACCESS
Job Assistance:
JOB ASSISTANCE
support:
24x7 SUPPORT