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
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:
Indeed :11000+ Simplyhired: 12000+ LikedIn: 4500+ Recruit.net: 8000+
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
HDFS (Hadoop Distributed File System) and installing Hadoop on single node
HDFS internals and use cases
Files and blocks
Namenode memory concerns
HDFS access options
Installing and configuring Hadoop
Basic Hadoop commands
Contents at a glance:
Note: These are just the major aspects that we will be discussing, each point will be elaborated in detail with demonstrations of the tools and techniques.
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
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
Authentication and high availability in Hadoop
Workshop Duration: 2 Days / 8 Hours per day.
Workshop Fees: Rs. 1299/- per participant. (Students) Rs. 1599/- per participant. (Faculty)
Key Benefits of Roxent Technologies:
Conducted more than 1,000 workshops & Seminars for Students & Professionals across India. Conducted workshops at Top most institutes of India including IIT’s, IIIT’s, IIST, NIT’s and Deemed Universities. Trained More than 90,000 students from India’s Leading Institutes.
Deliverables to Participants: Study Material (Digital) for each participant Authorized Certification from Roxent Technologies and respective institution
Deliverables to Organizers: Certificate of Coordination after successful conduction of workshop