BigData And Hadoop Workshops
BigData And Hadoop Workshop delivered by TechBharat
Why BigData And Hadoop
Big Data is a collection of large and complex data sets that cannot be processed using regular database management
tools or processing applications. A lot of challenges such as capture, curation, storage, search, sharing, analysis, and
visualization can be encountered while handling Big Data. On the other hand the Apache Hadoop software library is a
framework that allows for the distributed processing of large data sets across clusters of computers using simple
programming models. It is designed to scale up from single servers to thousands of machines, each offering local
computation and storage. Big Data certification is one of the most recognized credentials of today.
Who Should attend: Java developers, Architects, Big Data professionals, anyone who is looking forward towards building a career in Bigdata and Hadoop are ideal participants for the Big Data and Hadoop training. Additionally, it is suitable for participants who are: Aspiring to be in fast growing career Looking for a more challenging position Aiming to get into a more skillful role
Key Objectives: 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.
Career Opportunities after this training:Google trends tells exponential growth of Jobs in Hadoop. Check Top Job websites for Hadoop Jobs:
Our highly experienced live speakers or instructors are available to answer your questions during the workshop.
Why is this Training important for you!
- Module 1. What is Big Data & Why Hadoop?
- What is Big Data?
- Traditional data management systems and their limitations
- What is Hadoop?
- Why is Hadoop used?
- The Hadoop eco-system
- Big data/Hadoop use cases
- Module 2. HDFS (Hadoop Distributed File System) and
- installing Hadoop on single node
- HDFS Architecture
- HDFS internals and use cases
- HDFS Daemons
- Files and blocks
- Namenode memory concerns
- Secondary namenode
- HDFS access options
- Installing and configuring Hadoop
- Hadoop daemons
- Basic Hadoop commands
- Hands-on exercise
- Module 3. Introduction to HBase, Zookeeper & Sqoop
- HBase overview, architecture
- HBase admin: test
- HBase data access
- Overview of Zookeeper
- Sqoop overview and installation
- Importing and exporting data in Sqoop
- Hands-on exercise
- Module 4. Introduction to Oozie, Flume and advanced
- Hadoop concepts
- Overview of Oozie and Flume
- Oozie features and challenges
- How does Flume work
- Connecting Flume with HDFS
- HDFS Federation
- Authentication and high availability in Hadoop