Key Features
Description
Big
Data is an expression given to large volumes of data that organisations store
and process. Hadoop, which is not less than a silver bullet, has become an
integral part for storing, handling, evaluating and retrieving large volumes of
data for companies working with Big Data in a variety of applications. The
significance of Hadoop is evident from the fact that many global MNCs are using
Hadoop and consider it as an integral part of their functioning. Zeolearn’s Big
Data and Hadoop training course is designed to help you to
become a skilled Hadoop developer through a hands-on industry-based project.
You will get comprehensive knowledge of core concepts and their implementation,
as also an introduction to Cloudera and
Hortonworks.
Here’s what you will
learn!
- Get
an introduction to Big Data and its uses in various sectors
- Master
the concepts of the Hadoop framework, its deployment in a cluster
environment and high level scripting frameworks such as Pig and Hive to perform
data analytics
- Understand
the fault tolerance capacity of Hadoop and use the MapReduce feature to
process large amounts of data in parallel, in a cost effective manner
- Master
the Hadoop file system, the different configurations of the Hadoop cluster
and methods to optimize and troubleshoot
- Understand
best practices for Hadoop development
- Work
on a real life Project on Big Data Analytics
Is this course right
for you?
Data
analysts, Software Professionals, Analytics Professionals, ETL developers, Project
Managers, and students wanting to master Big data and Hadoop will benefit from
this course.
What do you need to be
familiar with?
Knowledge in any programming language or SQL or DBMS or UNIX
Curriculum
- Introduction to Big Data
- Dimensions of Big Data
- Big Data in Advertising
- Big Data in Banking
- Big Data in Telecom
- Big Data in eCommerce
- Big Data in Healthcare
- Big Data in Defense
- Processing options of Big Data
- Hadoop as an option
- What is Hadoop
- How Hadoop 1.0 Works
- How Hadoop 2.0 Works
- HDFS
- MapReduce
- What is YARN
- How YARN Works
- Advantages of YARN
- How Hadoop has an edge
- Sqoop
- Oozie
- Pig
- Hive
- Flume
- Working with HDFS
- Setting up VM Hadoop Environment
- Installing VMware Player
- Setting up the Virtual Environment (Virtual Machine User Accounts; Running a Hadoop Job; Accessing the VM via ssh; Shutting Down the VM)
- Examining a Sample MapReduce Program With several examples
- Basic API Concepts
- The Driver Code
- The Mapper
- The Reducer
1. Pig
- What is Pig?
- How Pig works?
- Simple processing using Pig
- Advanced processing using Pig
- Pig hands on
2. Hive
- What is Hive?
- How Hive works?
- Simple processing using Hive
- Advanced processing using Hive
- Hive hands-on
3. HBase
- Introduction To Hbase
- Row Distribution between region servers
- Data Storage
- HBase Master
- HBase and Zookeeper
- HBase Deployment
- Installation of HBase
- Configuration of HBase
4. Sqoop
- Getting Sqoop
- A Sample Import
- Database Imports
- Performing an Export
5. Oozie
- What is Oozie?
- How Oozie Works?
6. Impala
- What is Impala?
- How Impala Works
- Where Impala is better than Hive
- Impala’s shortcomings
- Impala hands-on
Our Students
This level of immersive training is rare in the e-learning sphere. I liked working alongside the trainer to learn while I was working. I started applying the learning to my work from the get go. It was refreshing.
Branka Otasevic
Frontend WebDeveloperFrequently Asked Questions
- Comprehend Hadoop 2.x Architecture, NameNode High Availability etc.
- Master the concepts of Hadoop Distributed File System and MapReduce Framework
- Create a Hadoop Cluster
- Know Data Loading Techniques using Sqoop and Flume
- Develop programs in MapReduce and write complex MapReduce modules
- Schedule jobs deploying Oozie
- Implement HBase, MapReduce Integration, Advanced Usage and Advanced
- Indexing
- Implement best Practices for Hadoop Development
- Get hands-on experience on a Real Life Project on Big Data Analytics and gain
- relevant Project Experience
- Implement a Hadoop Project
- Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.
- You may also attend these classes from your smart phone or tablet.
Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.
You can attend our instructor-led live online classes from the convenience of your home or office, by logging into the virtual classroom on schedule. Classes are conducted via online live streaming, and the recordings will be made available for you a day later.
Please ensure you have:
Internet Speed: Minimum 1.0 Mbps connection, with uninterrupted availability OS: Windows any version above XP SP3, or Mac any version above OS X 10.6
500 MHz processor, 256 MB Ram, 3 GB HDD (minimum)
Headset: A good headset with a microphone. You will be responding to the instructor’s questions as well as listening to the lectures.
You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.
On successful completion of the training, you will get a Zeolearn Course completion certificate. You will be required to work on a project, and will receive detailed project specifications to develop a Big Data project. Your project will be reviewed by an expert and if deemed satisfactory, you will be awarded a certificate that grades your performance. In case your project is found unsatisfactory in your first attempt, you can take some extra help and rework on it at no extra cost.
No, you will not be required to refer to textbooks. The training is hands-on and all the course material and class recordings will be available on your dashboard. You will learn by working on a project. You will be supported by your mentor and can clarify doubts at any point of time.
We always make sure that all our students are extremely satisfied with the training. However, if you find that it’s not working for you, you can discontinue immediately after your first session and request for a full refund within 7 business days from the class start date.
Please refer our Refunds policy for more details.
Please send in an email to hello@zeolearn.com, or contact us through any of the numbers at this link: https://www.zeolearn.com/contact-us We will respond to your queries within 48 hours.