Learn HDFS, ZooKeeper, Hive, HBase, NoSQL, Oozie, Flume and Sqoop From Industry Experts
As humans, we are immersed in data in our every-day lives. As per IBM, the data doubles every two years on this planet. The value that data holds can only be understood when we can start to identify patterns and trends in the data. Normal computing principles do not work when data becomes huge.
There is massive growth in the big data space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space.
In this course, you will learn Hadoop to drive better business decisions and solve real-world problems.
What is Big Data?
Big Data Use Cases
Overview of Hadoop Ecosystem
Spark Ecosystem Walkthrough
Understanding the CloudxLab
Hadoop & Spark Hands-on
Quiz and Assessment
Basics of Linux - Quick Hands-On
Understanding Regular Expressions
Quiz and Assessment
Setting up VM (optional)
Why Do we need it?
Understanding Data Model
Quiz & Assessment
How does election happen - Paxos Algorithm?
When not to use
Quiz & Assessment
Why HDFS or Why not existing file systems?
Understanding the architecture
Advance HDFS Concepts (HA, Federation)
Hands-on with HDFS (Upload, Download, SetRep)
Quiz & Assessment
Data Locality (Rack Awareness)
Computing - Why not existing tools?
Resource Management: YARN Architecture
Advance Concepts - Speculative Execution
Understanding MapReduce Framework
Example 0 - Word Frequency Problem - Without MR
Example 1 - Only Mapper - Image Resizing
Example 2 - Word Frequency Problem
Example 3 - Temperature Problem
Example 4 - Multiple Reducer
Example 5 - Java MapReduce Walkthrough
Example 6 - Secondary Sorting (Word Recommendation)
Example 7 - Partitioner
Concept - Associative & Commutative
Example 8 - Combiner
Example 9 - Hadoop Streaming
Example 10 - Adv. Problem Solving - Anagrams
Example 11 - Adv. Problem Solving - Same DNA
Example 12 - Adv. Problem Solving - Similar DNA
Example 12 - Joins - Voting
Limitations of MapReduce
Basic Structure of Pig Latin
Example - NYSE Stock Exchange
Concept - Lazy Evaluation
Hive Architecture Overview
Loading Data in Hive (Tables)
Example: Movielens Data Processing
Advance Concepts: Views
Connecting Tableau and HiveServer 2
Connecting Microsoft Excel and HiveServer 2
Project: Sentiment Analyses of Twitter Data
Advanced - Partition Tables
Understanding HCatalog & Impala
Case Study: The days before NoSQL
What is NoSQL?
HBase Architecture - Region Servers etc
Hbase Data Model - Column Family Orientedness
Getting Started - Create table, Adding Data
Adv Example - Google Links Storage
Concept - Bloom Filter
Comparison of NOSQL Databases
Import From MySQL to HDFS, Hive, HBase
Exporting to MySQL from HDFS
Concept - Unbounding Dataset Processing or Stream Processing
Flume Overview: Agents - Source, Sink, Channel
Example 1 - Data from Local network service into HDFS
Example 2 - Extracting Twitter Data
Example 3 - Creating workflow with Oozie
1. Sentiment analysis of "Iron Man 3" movie using Hive and visualizing the sentiment data using BI tools such as Tableau
2. Process the NSE (National Stock Exchange) data using Hive for various insights
3. Analyze MovieLens data using Hive
Our Specialization is exhaustive and the certificate rewarded by us is proof that you have taken a big leap in Big Data domain.
The knowledge you have gained from working on projects, videos, quizzes, hands-on assessments and case studies gives you a competitive edge.
Highlight your new skills on your resume, LinkedIn, Facebook and Twitter. Tell your friends and colleagues about it.
In Self-paced learning, you will get,
Basics Of SQL. You should know the basics of SQL and databases. If you know about filters in SQL, you are expected to understand the course.
A know-how of the basics of programming. If you understand 'loops' in any programming language, and if you are able to create a directory and see what's inside a file from the command line, you are good to get the concepts of this course even if you have not really touched programming for the last 10 years! In addition, we will be providing video classes on the basics of Python and Scala.
The instructors for this course are industry experts having years of experience in mentoring students across the world.
It will take 2-3 months with 6-8 hours of effort per week.
We understand that you might need course material for a longer duration to make most out of your subscription. You will get lifetime access (Till the company is operational) to the course material so that you can refer to the course material anytime.
In online instructor-led training, Sandeep Giri along with his team of experts will train you with a group of our course learners for 100+ hours over online conferencing software like Zoom.
At the end, of course, you will work on a real-time project. You will receive a problem statement along with a data-set to work on CloudxLab. Once you are done with the project (it will be reviewed by an expert), you will be awarded a certificate which you can share on LinkedIn.
We offer mentoring sessions to our learners with industry leaders and professionals so you can get 1 on 1 help with any questions you may have, whether your questions are technical, job-related or anything else.
This is a paid service available to learners enrolling in the course. Please write to us at email@example.com for more details
Enrollment into self-paced course entails 90 days of free access to CloudxLab. Enrollment into instructor-led course entails 90 days of free access to Cloudxlab, depending on date of enrollment.
Yes. Java is generally required for understanding MapReduce. MapReduce is a programming paradigm for writing your logic in the form of Mapper and reducer functions. We provide a self-paced course on Java for free. As soon as you signup, it would be available in your account section.
Course requires a good internet (1 Mbps or more) and a browser to watch videos and do hands-on the lab. We've configured all the tools in the lab so that you can focus on learning and practicing in a real-world cluster.
At CloudxLab, we have always believed in quality education must be affordable for everyone so that we can help learners achieving career goals and build innovative products.
Please follow this post for more details on the financial aid.
Have more questions? Please contact us at firstname.lastname@example.org