Understanding Big Data and Hadoop

Learning Objectives: In this module, you will understand what is Big Data and Apache Hadoop. You will also learn how Hadoop solves the Big Data problems, Hadoop Cluster Architecture, its core components & ecosystem, Hadoop data loading & reading mechanism and role of a Hadoop Cluster Administrator.

Topics Includes:

Introduction to big data
limitations of existing solutions
Hadoop architecture
Hadoop components and ecosystem
data loading & reading from HDFS
replication rules
rack awareness theory
Hadoop cluster administrator: Roles and responsibilities

Hadoop Architecture and Cluster setup

Learning Objectives: In this module, you will understand different Hadoop components, understand the working of HDFS, Hadoop cluster modes, configuration files, and more. You will also understand the Hadoop 2.0 cluster setup and configuration, setting up Hadoop Clients using Hadoop 2.0 and resolve problems simulated from a real-time environment.

Topics Includes:

Hadoop server roles and their usage
Hadoop installation and initial configuration
Deploying Hadoop in a pseudo-distributed mode
Deploying a multi-node Hadoop cluster
Installing Hadoop Clients
Understanding the working of HDFS and resolving simulated problems

Hadoop Cluster Administration and Understanding MapReduce

Learning Objectives: In this module you will understand the working of the secondary namenode, working with Hadoop distributed cluster, enabling rack awareness, maintenance mode of Hadoop cluster, adding or removing nodes to your cluster in an ad-hoc and recommended way, understand the MapReduce programming model in the context of Hadoop administrator and schedules.

Topics Includes:
Understanding secondary namenode
Working with Hadoop distributed cluster
Decommissioning or commissioning of nodes
Understanding MapReduce
Understanding schedulers and enabling them

Backup, Recovery and Maintenance

Learning Objectives: In this module, you will understand the day to day cluster administration tasks, balancing data in a cluster, protecting data by enabling trash, attempting a manual failover, creating backup within or across clusters, safeguarding your metadata and doing metadata recovery or manual failover of NameNode recovery, learn how to restrict the usage of HDFS in terms of count and volume of data, and more.

Topics Includes:

Key Hadoop Admin Commands
Trash
Import Check Point
Distcp, data backup, and recovery
Enabling trash
Namespace count quota or space quota
Manual failover or metadata recovery

Hadoop 2.0 Cluster: Planning and Management

Learning Objectives: In this module, you will gather insights around cluster planning and management, learn about the various aspects one needs to remember while planning a setup of a new cluster, capacity sizing, understanding recommendations and comparing different distributions of Hadoop, understanding workload and usage patterns and some examples from the world of big data.

Topic Includes:

Planning a Hadoop 2.0 cluster
Cluster sizing, hardware
Network and software considerations
Popular Hadoop distributions
Workload and usage patterns
Industry recommendations

Hadoop 2.0 and it’s features

Learning Objectives: In this module, you will learn more about the new features of Hadoop 2.0, HDFS High Availability, YARN framework and job execution flow, MRv2, federation, limitations of Hadoop 1.x and setting up Hadoop 2.0 Cluster setup in pseudo-distributed and distributed mode.

Topic Includes:

Limitations of Hadoop 1.x
Features of Hadoop 2.0
YARN framework
MRv2
Hadoop high availability and federation
YARN ecosystem and Hadoop 2.0 Cluster setup

Setting up Hadoop 2.X with High Availability and upgrading Hadoop

Learning Objectives: In this module, you will learn to setup Hadoop 2 with high availability, upgrading from v1 to v2, importing data from RDBMS into HDFS, understand why Oozie, Hive, and HBase are used and working on the components.

Topics Includes:

Configuring Hadoop 2 with high availability
upgrading to Hadoop 2
working with Sqoop
understanding Oozie
working with Hive
working with HBase

Project: Cloudera manager and Cluster setup, Overview on Kerberos

Learning Objectives: In this module, you will learn about Cloudera manager to setup Cluster, optimizations of Hadoop/Hbase/Hive performance parameters and understand the basics on Kerberos. You will learn to setup Pig to use in local/distributed mode to perform data analytics.

Topics Includes:

Cloudera manager and cluster setup
Hive administration
HBase architecture
HBase setup, Hadoop/Hive/HBase performance optimization
Pig setup and working with a grunt, why Kerberos and how it helps

Why should I join Hadoop Administration from BSAI Academy?

BSAI Academy is the pioneer of Hadoop training. In this Hadoop administration training you will master the concepts of managing, monitoring and troubleshooting large Hadoop clusters, deploying various components on the cluster like HDFS, MapReduce, HBase. You will also learn to add new users, authenticate the users and secure the cluster in a foolproof manner. This training course is fully aligned with clearing the Cloudera CCA Administrator Exam (CCA131).

BSAI Academy offers video file of your training. For Hadoop and Spark training our tutor will explain you hadoop installation on your Virtual Machine for performing training exercises.

What are the various modes of training that Intellipaat offers?

BSAI Academy basically offers the self-paced training and online instructor-led training. Apart from that we also provide corporate training for enterprises. All our trainers come with over 12 years of industry experience in relevant technologies and also they are subject matter experts working as consultants. You can check about the quality of our trainers in the sample videos provided.

Can I request for a support session if I find difficulty in grasping topics?

If you have any queries you can write us an email at info@bsaiacademy.com. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers.

If I am not from a programming background but have a basic knowledge of programming can I still learn Hadoop?

Yes, you can learn Hadoop without being from a software background. We provide complimentary courses in Java and Linux so that you can brush up on your programming skills. This will help you in learning Hadoop technologies better and faster.

What kind of projects will I be working on as part of the training?

We provide you with the opportunity to work on real world projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various Hadoop components making you perfectly industry-ready. These projects could be in exciting and challenging fields like banking, insurance, retail, social networking, high technology and so on.

Do you provide placement assistance?

No BSAI Academy does not provide you with placement assistance.

How are your verified certificates awarded?

Upon successful completion of training you have to take a set of quizzes, complete the projects and upon review and on scoring over 60% marks in the qualifying quiz the official Intellipaat verified certificate is awarded.The Intellipaat Certification is a seal of approval and is highly recognized in 80+ corporations around the world including many in the Fortune 500 list of companies.

Hadoop Administration Certification Training

The entire training course content is in line with the certification program and helps you clear Big Data Hadoop Certification Exam with ease and get the best jobs in the top MNCs. As part of this training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.

At the end of this training program there will be a exam that helps you score better marks in certification exam.