Big Data and Hadoop Certification Training
25 hours of video training
22 hours of hands-on practical experience
Training by Industry expert
Notes / Interview questions / Practice material
Full Lifetime access
Accessible on Website and App
Certificate of Completion
7 Days 100% Money-Back Guarantee
Viewing Time: 100 Hours
Quality education now comes with an affordable price tag.
Learnoa presents Instructor-Led self-paced comprehensive technology training programs.
We give you the same experience as of a LIVE INSTRUCTOR-LED TRAINING PROGRAM.
We give you the same quality as of a LIVE INSTRUCTOR-LED TRAINING PROGRAM.
You get the same experience and quality at a far lesser cost, with Learnoa!
As a bonus, we also arrange for doubt clearing sessions with instructors, on learner’s request.
Isn’t it wonderful?
Why should I take this training?
Big Data is one of the most sought after technologies in the market in today’s age. Almost every large company you might want to work at uses Hadoop in some or the other way, including Amazon, Ebay, Facebook and Google! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images. Landing up with a career in the field of big data will be fulfilling your career expectations. Professionals who are working in this field can expect a very impressive salary, even newbies in this field can expect a comparatively heavy paycheck.
Average Salary of Big Data Hadoop Developers is approximately $104,556 or approximately Rs. 73, 18,920 per annum (Indeed.com salary data).
Big Data Hadoop Training program from Learnoa is designed to make you a certified Big Data practitioner by providing you with the detailed explanations for all the Big Data concepts and extensive hands-on training on Big Data concepts and Hadoop Ecosystem. This training program will prove to be a breakthrough in your career in the field of Big Data.
If you're a project manager who just wants to learn the buzzwords, there are sessions about the activities in the training that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, we'll challenge you with writing real scripts on a Hadoop system using Scala, Pig and Python. We will also get you well acquainted with Hive, HBase, MapReduce, etc. which will make you an expert in the field.
Using concepts as well as hands-on examples and case studies, this training will give you enough knowledge and experience to be able to know about real-time problems and solutions with more than 20 hours of training from experts in the industry
What will you learn?
- Understand Big Data
- Understand what is Hadoop and how it works
- To Understand MapReduce Framework
- How to install and build a Hadoop Cluster from scratch
- Learn data ingestion techniques using Sqoop and Flume
- Process large data-sets with Big Data tools in order to extract information from seemingly diverse sources
- Query databases using MapReduce to create scalable, flexible and profitable solutions
- Execute data analytics using Pig, Hive and Sqoop
- Perform Integration with HBase and MapReduce
- To understand spark, commands, database, architecture.
- Work on a real-time Hadoop cluster
- Best practices for Hadoop development
- Practical Case-studies
- Learn real-world skill-set required to excel in any IT company
- Implement best practices for Hadoop development
- To perform on real-world Big Data Analytics Project
- Understand the use of best practices for Hadoop development Understand the use of best practices for Hadoop development
What else you will get?
Along with the training content, you will also get everything which is applicable from the following on this program:
- Codes Snippets
- Sample Programs
- Informational PPTs
- Installation and Configuration Guidelines
- Class Notes
- Interview Questions
- Useful links
- Case studies
- Real-life examples
|Introduction To Big Data & Hadoop Certification Training | Learnoa||Preview|
|Different types of processing in hadoop, Different types of databases in hadoop.mp4|
|Architecture of Hadoop, NLTK, Jargons.mp4|
|Demons, Reading and Writing files from HDFS, Data replication|
|Hadoop Rack, Metadata, Case Studies.mp4|
|Importance of SNN, File System Metadata, Analytical Algorithms.mp4|
|Upstreams and Downstreams, Installation of Hadoop Cluster.mp4|
|Set up Java home and Hadoop home.mp4|
|Installation of Hadoop Cluster on Ubuntu Contd..mp4|
|HDFS commands, Basics of Regular Expressions, Java & Python case Study, HDFS Case Study.mp4|
|HDFS Fine Tuning Commands, Automating HDFS bat through shell scripts, Cluster Monitoring.mp4|
|MapReduce Introduction, Mapper, Reducer|
|Installation doubts clearing.mp4|
|MapReduce Architecture, Data types in MapReduce and it's flow with execution, Serialization.mp4|
|How to run a MapReduce job, Exploring Mapper Reducer Driver Combiner.mp4|
|Technical flow of MapReduce, Word count reducer example, Json mapping jars.mp4|
|Price or Product finder.mp4|
|Hadoop 2.0 Architecture, Hadoop 1 Vs Hadoop 2.mp4|
|Introduction to YARN, Execute Hadoop job on YARN, Exploring HDFSYARN history.mp4|
|Installation of Hive on your system, Create tables and difference between managed table and external.mp4|
|Optimizations in Hive, Partitioning, bucketing, dynamic partitioning, MLP, Introduction to Sqoop.mp4|
|Sqoop commands, Handling complex datatypes in hive, Joins, UDF|
|Introduction to Pig, Data types in Pig, Pig Latin, Hands-On Exercises.mp4|
|HBase Architecture, Properties of HBase.mp4|
|Introduction to Spark.mp4|
|DataFrames in Spark, Streaming concept of spark.mp4|
|Flume architecture and configuration.mp4|
|Kafka Architecture, Single broker-Multi broker, Kafka Installation, Difference between Kafka and Flume.mp4|
|Usage of Hadoop, Update on echo components, UDF in Pig, Career path.mp4|
|POC on Hive _ Sqoop|
|Twitter Sentiment Analysis with Flume and Hive|
|Web Analysis using Pig Latin|
Who should take this training?
Taking this training program will train you on how to do magic with Big Data and turn your database into a smart decision. Following professionals can use BigData knowledge as per their requirements:
Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze "big data" at scale.
Project Managers, Program Managers, or Product Managers who want to understand the lingo and high-level architecture of Hadoop.
Data analysts who are curious about Hadoop and how it relates to their work.
System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.
Database or system administrators
Fresh Graduates seeking a career in the field of Big Data
You will need to have a basic understanding of data. Knowing any of the programming languages will enhance your training experience.