Big Data and Hadoop
JOB PROGRAM
Prepares to enter into the world of IT with immense knowledge and with practical hands-on tools and techniques used
PROGRAM NAME
Big Data and Hadoop
Receive the most practical and job-oriented training
PROGRAM DURATION
40 hours
Understand the position of IT throughout the project life cycle
MODE OF INSTRUCTION
Online/In-Class
Receive in the classroom or live instructor-led online training
Program Overview
Big Data and Hadoop
Big Data & Hadoop training will master you in understanding the concepts of the Hadoop framework and prepares you for Big data certification. It is a comprehensive course designed by industry experts considering current industry job requirements to provide in-depth learning on big data and Hadoop Modules. This Hadoop training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on the Hadoop ecosystem and best practices about HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop. The program begins with Big Data Hadoop and Spark developer course to provide a solid foundation in the Big Data Hadoop framework, then moves on to Apache Spark and Scala to give you an in-depth understanding of real-time processing.
AFTER SUCCESSFUL COMPLETION, YOU WILL:
- Master the concepts of HDFS and MapReduce framework
- Understand Hadoop 2.x Architecture
- Setup Hadoop Cluster and write Complex MapReduce programs
- Learn data loading techniques using Sqoop and Flume
- Perform data analytics using Pig,Hive and YARN
- Implement HBase and MapReduce integration
- Implement Advance Usage and Indexing
- Schedule jobs using Oozie
- Implement best practices for Hadoop development
- Understand Spark and its Ecosystem
- Learn how to work in RDD in Spark
- Work on a real life Project on Big Data Analytics
We are conveniently located to provide Big Data and Hadoop Training in Brampton, Mississauga, Toronto, and Scarborough area.
Big Data and Hadoop training in Brampton, Scarborough, Toronto, and Mississauga can help you how to avoid problems when delivering solutions or services to customers.
All Our Programs Include
Mock Interview Sessions
Our HR advisors will conduct 10 mock interview sessions during the training period on a weekly basis that will give students an opportunity to practice for job interviews. We prepare students according to the current industry trends so that can get interview ready. Students learn how to answer difficult questions, improve communication skills and develop interview strategies.
On the Job Support
We provide on-the-job support to students at no extra cost. Students can contact us anytime and any day even after finishing their training at Justwin IT Solutions. To improve skills and deliverables you can always ask for assistance. If you are stuck at any point while at your job Justwin IT Solutions experts are just a call away.
End to End Live Projects
At Justwin IT Solutions, students will get hands-on experience by working on live projects using technical tools in real-time. Instead of going through PowerPoint slides, working on real projects will make them more confident and expert in the respective field. Students have a group discussions about the projects with other student groups as well as their trainers.
Professional Resume Preparation
Our experts will not only assist you with job interviews but will also help you to build a perfect resume according to your experience and the work you have done while training. Our team also help students to optimize their LinkedIn and git hub profile so that they can become prepared and successfully approach the job market.
Program Curriculum
- Introduction to Big Data
- Introduction to Hadoop
- Challenges of Traditional System
- Distributed Systems
- Big Data Analytics
- Four Vs of Big Data
- Components of Hadoop Ecosystem
- Commercial Hadoop Distributions
- Big Data users and Scenarios
- Challenges of Big Data
- Big Data and Hadoop Job Market
- Current opportunities
- Industry Expectations
- What to expect in an interview for IT jobs
- Know Yourself in 30 Second Elevator Speech!
- Case Study Royal Bank of Scotland
- Know Yourself in 30 Second Elevator Speech!
- Introduction to HDFS:
- What is HDFS
- Need of HDFS
- Characteristics of HDFS
- Its architecture and components
- HDFS Component File System Namespace
- Regular File System Vs HDFS
- Anatomy of a File Read/Write
- High Availability Cluster Implementation
- HDFS Component File System Namespace
- HDFS Command Line
- Data Block Split
- Data Replication Topology
- Introduction to YARN:
- YARN Use Case
- YARN and Its Architecture
- Fault tolerance in YARN
- Resource Manager
- How Resource Manager Operates
Hands-On Practice: HDFS command line and YARN use case
- Common HDFS Commands
- Walkthrough of Cluster Parts
- Use case creation for YARN
- How YARN Runs an Application
- Tools for YARN Developers
- Quiz covering HDFS and YARN
- Difference between Data Ingestion and ETL: Extraction, Transformation and Loading
- Apache Sqoop:
- Processing of Sqoop
- Sqoop Import Process
- Connectors of Sqoop
- Uses of Sqoop
- Apache Flume:
- Flume Model
- Scalability in Flume
- Components in Flume’s Architecture
- Configuring Flume Components
- Apache Kafka:
- Apache Kafka Architecture
- Aggregating User Activity Using Kafka
- Kafka Data Model
- Partitions
- Importing and Exporting Data from MySQL to HDFS
- Ingest Twitter Data
- Setup Kafka Cluster
- Creating Sample Kafka Data Pipeline using Producer and Consumer
- Producer Side API with Example
- Distributed Processing in MapReduce
- Map, Reduce & Shuffle phases
- Running a MapReduce application in MR2
- Understanding Mapper, Reducer & Driver classes
- Writing MapReduce WordCount program
- Executing & monitoring a Map-Reduce job
- MapReduce Framework on YARN
- Map Execution Phases
- Map Execution Distributed Two Node Environment
- Hadoop MapReduce Job Work Interaction
- Setting Up the Environment for MapReduce Development
- Set of Classes
- Advanced MapReduce
- Output Formats in MapReduce
- Using Distributed Cache
- Joins in MapReduce
- Replicated Join
- Introduction to Pig
- Components of Pig
- Pig Data Model
- Pig Interactive Modes
- Pig Operations
- Apache Pig
- Distributed Processing – MapReduce Framework and Pig
- Setting Up the Environment for MapReduce Development
- Writing MapReduce Word Count program
- Running a MapReduce application in MR2
- Analyzing Web Log Data Using MapReduce
- Analyzing Sales Data and Solving KPIs using PIG
- Demo: Various Relations Performed by Developers
- Use case – Sales calculation using M/R
- Hive SQL over Hadoop MapReduce
- Hive Architecture
- Interfaces to Run Hive Queries
- Running Beeline from Command Line
- Hive Metastore
- Hive DDL and DML
- Creating New Table
- Data Types
- Validation of Data
- File Format Types
- Data Serialization
- Hive Table and Avro Schema
- Hive Optimization Partitioning Bucketing and Sampling
- Non-Partitioned Table
- Data Insertion
- Dynamic Partitioning in Hive
- Bucketing
- What Do Buckets Do
- Hive Analytics UDF and UDAF
- Other Functions of Hive
- Real-Time Analysis and Data Filtration
- Real-World Problems of Big Data
- Data Representation and Import using Hive
- NoSQL Introduction
- HBase Overview
- Data Model
- HBase Architecture
- Connecting to HBase
- HBase Shell environment
- Zookeeper & its role in HBase environment
- Creating table
- Creating column families
- CLI commands – get, put, delete & scan
- Scan Filter operations
Hands-On Practice: NoSQL Database – HBase
- Practice session of CLI for operations
- Demo: Yarn Tuning
- Introduction to Scala
- Functional Programming
- Programming with Scala
- Type Inference Classes Objects and Functions in Scala
- Type Inference Functions, Anonymous Function and Class
- Collections and Types
- Scala REPL
- Basics of Functional Programming and Scala
- Running a Scala Programs in Spark Shell
- Scala installation
- Implementation of methods using Basic Literals and Arithmetic Operators
- Implementation of methods using Logical Operators
- Type Inference Functions, Anonymous Function and Class
- Features of Scala REPL
- Introduction to Apache Spark with History
- Components of Spark
- Apache Spark Next-Generation Big Data Framework
- Limitations of MapReduce in Hadoop
- Application of In-Memory Processing
- Hadoop Ecosystem vs Spark
- Advantages of Spark
- Spark Architecture
- Spark Cluster in Real World
- Apache Spark Next-Generation Big Data Framework
- Introduction to Spark RDD
- Processing RDD
- RDD in Spark
- Creating Spark RDD
- Pair RDD
- RDD Operations
- Caching and Persistence
- Storage Levels
- Lineage and DAG
- Need for DAG
- Debugging, Partitioning, Scheduling, Shuffling and Sorting in Spark
- Aggregating Data with Pair RDD
Hands-On Practice: Practical Workshop
- Setting Up Execution Environment in IDE
- Spark Web UI
- Spark Transformation Detailed Exploration Using Scala Examples
- Spark Action Detailed Exploration Using Scala
- Spark Application with Data Written Back to HDFS and Spark UI
- Changing Spark Application Parameters
- Handling Different File Formats
- Spark RDD with Real-World Application
- Optimizing Spark Jobs
- Spark SQL Introduction
- Spark SQL Architecture
- Data Frames and Data Formats
- Interoperating with RDDs
- Process Data Frame Using SQL Query
- RDD vs Data Frame vs Dataset
- Processing Data Frames
- Role of Data Scientist and Data Analyst in Big Data
- Analytics in Spark
- Machine Learning
- Supervised Learning and Unsupervised Learning
- Reinforcement Learning
- Semi-Supervised Learning
- Madlib Pipelines
- Handling Various Data Formats
- Implement Various Data Frame Operations
- UDF and UDAF
- Process Data Frame Using SQL Query
- Classification of Linear SVM
- Linear Regression with Real World Case Studies
- Spark Streaming and Frameworks
- Discretized Streams
- Stateful and stateless transformations
- Checkpointing
- Operating with other streaming platforms (such as Apache Kafka)
- Structured Streaming
- Real-Time Processing of Big Data
- Data Processing Architectures
- Introduction and Transformations on Streams
- Design Patterns for Using For each RDD
- State Operations
- Windowing Operations
- Join Operations stream-dataset Join
- Streaming Sources
- Structured Streaming Architecture Model and Its Components
- Output Sinks
- Structured Streaming APIs
- Constructing Columns in Structured Streaming
- Windowed Operations on Event-Time
- Introduction to Graph
- Graph Operators
- Join Operators
- Graph Parallel System
- Algorithms in Spark
- Pregel API
- Real-Time Data Processing
- Writing Spark Streaming Application
- Use Case of Stream Processing (Banking Transactions)
- Streaming Pipeline
- Windowing of Real-Time Data Processing
- Structured Spark Streaming
- Process Twitter tweets using Spark Streaming
- Use Case of GraphX
- GraphX Vertex Predicate
What You Will Receive
Program Outcome
Who Should Attend
The Big Data Hadoop Architect is a highly desirable career goal for those seeking to fast-track their career in the Big Data field. This course does not require you to have technical expertise. You will take this course even with some basic knowledge of programming languages such as Java, UNIX or any Database queries. With the number of Big Data career opportunities on the rise, the following roles will benefit most from this learning path:
- Recent graduates who are dreaming to get into IT industry as this program will open doors to get into the IT world
- Students / IT Newbie’s aspiring to become a Big Data and Hadoop Developer
- Anyone who is holding Master’s or Bachelor’s degree in IT and facing difficulties to get into IT profession
- Programming Developers and System Administrators
- Graduates looking to build a career in Big Data Analytics
- IT, data management, and analytics professionals looking to gain expertise in Big Data
- Anyone interested in Hadoop, HDFS and MapReduce
- For those who want to learn programming in MapReduce
Opportunities
The best jobs in Big Data and Hadoop demand the perfect blend of business savvy, technological expertise and communication skill. This program gives you the edge you need in a competitive market. Depending on what cloud computing career path you choose, here are some popular options to consider:
- Master the concepts of HDFS and MapReduce framework
- Understand Hadoop 2.x Architecture
- Setup Hadoop Cluster and write Complex MapReduce programs
- Learn data loading techniques using Sqoop and Flume
- Perform data analytics using Pig, Hive and YARN
- Implement HBase and MapReduce integration
- Implement Advanced Usage and Indexing
- Schedule jobs using Oozie
- Implement best practices for Hadoop development
- Understand Spark and its Ecosystem
- Learn how to work in RDD in Spark
- Work on a real life Project on Big Data Analytics
Program Schedules
Program Details
PROGRAM OVERVIEW – WHY SHOULD I TAKE THIS PROGRAM?
Why Should I enroll?
With the growing number of industries, Big Data and Hadoop is becoming more and more important and the number of job opportunities is also increasing steadily. There has been a growing demand for certified professionals over the last few years. This program is designed in such a way that you can easily secure a job in this growing field.
What jobs will this program prepare me for?
Even in a time of worldwide economic slowdown, the software industry is growing which means that there are jobs waiting for you. This program will qualify you as a Big Data and Hadoop professional in any industry as Big Data and Hadoop has become a critical part of industrial development.
How do Justwin IT solutions can help me with the recruitment process?
At Justwin IT Solutions, we start preparing you for the interviews from day one of your training starts. Our HR department will be inviting you for the mock interview sessions every week. Also, we provide end-to-end support to get you a job in your field. We help you find out how to make your application stand out from the crowd. Justwin IT Solutions is the only institute that is in direct partnership with Canada’s leading IT recruitment firm www.jobsmont.com which will help line up interviews directly with the client.
How many mock interview sessions are there?
Our HR generalists will conduct 10 mock interview sessions during the training period on a weekly basis that will give students an opportunity to practice for job interviews. We prepare students according to the current industry trends so that can get interview ready.
Will I be working on any live projects?
Yes, you will get to work on up to two to three live projects covering banking, retail, and other important domains during the training period. Working on live projects will help you get hands-on experience and gain expertise in the respective field.
Will I get assignments to work on during weekdays?
Yes, students will get assignments to work on every week. You will receive an email from your trainer containing the assignment, Study material and agenda for the upcoming week.
Will there be any support during weekdays to do the assignments?
Yes, you will get support during weekdays and weekends too. Students will get direct contact details of their instructor whom they can contact via call/email within business hours to ask any kind of question or concerns during the weekdays about their assignments.
Will I get chance to work on tools having hands-on practice?
Yes, you will get to work with the most advanced tools available in the market. Students will have to install them in their system so that they can work using these tools anytime. Students must have a compatible system so that they can learn more efficiently.
Will I get any help if I get stuck at the job?
Justwin IT Solutions provide on the job support. Students can contact our consulting department during business hours even after completion of the program at Justwin IT Solutions. If you are stuck at any point while at your job, Justwin IT Solutions experts are just a call away!
Do you bound me any contract or ask for commission after getting the job?
No, Justwin IT Solutions never bounds you in any type of legal contract. This is what makes us standout from other organizations. We do not charge any commissions or salary cut once you get a job.
Do you charge anything for resume preparation?
No, we do not charge anything for resume preparation. All the services like resume preparation, 10 mock interview sessions, job assistance and on-job support are free of cost. Our CHRP (Certified Human Resources Professionals) consultants also help students in every possible way so that they can become prepared and successfully approach the job market.
Can I attend sessions online if I’m at different location?
Absolutely, Justwin IT Solutions provide both offline as well as live online classes. You will be able to attend class regardless of location. All our sessions are Live sessions. There are not recorded sessions. Each session is Live Instructor-Led training and equipped with ultra-high-definition cameras and noise-cancelling microphones. Where you will get a feel as you are sitting in the classroom.
How to reserve seat for the upcoming batch?
You can easily reserve your seat for the upcoming batch by filling an enrollment form and paying the program fee. After paying the fee you will a confirmation note containing your enrollment details.
What is the prerequisite for the programs?
No prior experience required to enroll in these programs. Students comfortable with basic computer skills and system management can register for these programs. Graduates from High School can also consider enrolling in the programs listed.