Big Data Analytics Course in Madhapur, Hyderabad India

Digital Nest is the Google certified and Award-winning institute for rendering the best classroom training, online and E-Learning training in Madhapur, Hyderabad, India. We stand first at paving the way for innovations and providing the complete spectrum of Big Data Training Course in Madhapur, Hyderabad India.

Big Data Hadoop Training Course is the latest buzzword which is evolving in this IT world. As the technology has processed on an immense scale and this creates the need for more IT employees to take equal measures with technical progression. In this circumstance, Big Data Analytics deserves a boast which can lead to better job opportunities in the IT field today.

India demands a minimum of 1 Lakh Data scientists in next couple of years, the USA alone would face a deficit of 1 lakh 92 thousand data scientists against its requirement of 4 lakh 90 thousand by 2018. So, there is a lot of extent for the development in this Big Data Era.

We are providing an opportunity to work on Big Data Real-Time Projects which would be guided by our real-time trainers. A technical back-end team would always be available to answer the trainees' queries at any point in time and also assist at the training sessions. We are positioned in MadhapurHitech City and operate in three learning centres viz. Ameerpet, Panjagutta and Madhapur in HyderabadIndia.

We are incepted on a mission of rendering not only just the Big Data Analytics Training but also helps the trainees with the Best Big Data Hadoop Training in Hyderabad with Placement assistance. Our Big data Training is curated by the subject matter experts who are a great expertise in Big Data Industry. This renders the student with an explicit experience in establishing a career in Hadoop Development ToolsSpark Development, analysis and testing roles.

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Reviews Of Digital Nest
(4.6/5 based on 277 reviews) | Read reviews

Why this Big Data and Data Analytics Course?

This course incorporates fundamental concepts and hands-on learning of leading Data Analytical tools.  Over the course of two months, trainees will not only gain theoretical knowledge of Big Data Implementation but also gain exposure to business perspectives, industry best practices of Big Data Implementation Case Studies submissions and can also get hands-on experience with real-time projects and develop a portfolio of ascertainable work.

Big Data Analytics Course Training in Hyderabad Consists of Core Java Basics, Hadoop Training for beginners, Hive training, Apache Spark Training, Scala Programming and  Big Data Analytics with Apache Spark.

We have two training modes:

  1. Big Data Analytics Classroom Training at Ameerpet, Madhapur, Panjagutta in Hyderabad, India

  2. Big Data Training in Online

Big Data Analytics Course curriculum is designed and updated as per latest Big Data and Data Science industry standards and the content of the course is stimulated with the improvements in the subject.

Real-Time case studies are featured by our panel of expert trainers. Module based assignments are conducted to ensure consistent understanding among the learning people. Big Data Analytics Certification is granted by the execution of Big Data Project presented by every student.

Students are encouraged to practice on their technical plans and qualified guidance is assured by our certified Big Data Professionals.

Big Data Analytics Course Highlights

  • The program comes with a cutting-edge industry-aligned curriculum.
  • Course is delivered in two modes: Classroom and Online training, using a practical hands-on learning methodology.
  • 100% Placement, Internship and Live Project assistance by industry’s professionals.
  • Students will be provided Videos, Backup Classes, Revision Classes, Assignments and projects.
  • Digital Nest Certificate Guidance
  • Deep understanding of Big Data Analytics along with business perspectives and cutting-edge Practices
Big Data Analytics Course Structure

Module 1: Introduction

  • What are Big data and its characteristics?
  • Why is Big Data on demand?
  • Career path of Big Data
  • How are Big Data and Data Science related?
  • Real-time Applications
  • Introduction to Big Data based Frameworks-HADOOP and Apache Spark

Module 2: Introduction to HADOOP

  • Hadoop Configuration and Installation
  • HDFS
  • Hadoop based Projects
  • Hadoop Architecture and HDFS
    • Hadoop cluster Architecture
    • Hadoop cluster configuration
    • Hadoop cluster modes
    • Basics of Hadoop Eco-System
    • Single node and Multi-Node Cluster
    • Hadoop Shell Commands
  • Map Reduce and Advanced Map Reduce
    • Introduction to MapReduce frameworks
    • Map Reduce Architecture
    • Necessity of MapReduce
    • Map Reduce Programs in Java
    • Input Splits
    • HDFS Blocks
    • Combiner and partitions
    • YARN workflow
    • Anatomy of MapReduce program
    • XML parsing
    • Traditional Way Vs  MapReduce way
    • Counters
    • Joining Data Sets
    • Distributed Cache
    • Streaming
    • Distributed Joins
    • MR Unit
    • Real-time Example
  • Hive, Advanced Hive and H-Base:
    • Introduction to Hive
    • HQL
    • Introduction to H-Base and No-SQL Data Base
    • H-Base Architecture
    • Comparison of SQL and HQL
    • Hive Datatypes
    • Hive Tables
    • Importing and Querying Data in Hive
    • Running Hive Scripts
    • HBase Vs Traditional Database
    • Partitions
    • Dynamic Partitioning
    • Run Modes and Configuration
    • Buckets
    • H-Base Cluster deployment
    • Hive Scripts
    • Hive UDF
    • H-Base shell
    • Bulk Loading
    • Scheduling with Oozie
    • Zookeeper and it’s uses
    • Filtering in HBase
    • Pros and Cons of Hive
    • Real-time example
  • Pig:
    • Introduction to Pig
    • Pig Architecture
    • Pig data types
    • Pig Vs MapReduce
    • Coupling Pig and MapReduce
    • Pig Latin
    • Pig Scripting
    • Pig UDF
    • Pig Streaming
    • Pig Script testing
    • Importing Pig Jars
    • Pros and Cons of Pig
    • Real-time Example
  • Hadoop Case study

Module 3: Introduction to Apache Spark:

  • What is Spark
  • History
  • Why is it needed?
  • Demand Spark
  • Installation
  • Spark at eBay
  • Spark in Hadoop ecosystem
  • Spark Execution Architecture
  • Map Reduce limitations in Hadoop
  • Hadoop vs Spark
  • Features of Spark

Module 4: Introduction to Scala programming

  • Installation
  • Data Types
  • Variables
  • Classes & objects
  • Access modifiers
  • Operators
  • Loops
  • Functions
  • Closures
  • Strings
  • Arrays
  • Collections
  • Traits
  • Pattern Matching
  • Regular Expressions
  • Exception handling methods
  • Spark Architecture:
    • Distributed Systems
    • Scalable Systems
    • RDD
    • Creating RDD’s
    • Shortcomings of Map Reduce and how does Spark overcome it
    • Parallelizing
    • Caching
  • Spark  programming:
    • Transformations
    • Actions
    • Clustering
    • Spark SQL with Json, Csv
    • Broadcast variables and accumulators
    • Microbatch
    • Spark GraphX Programming
  • Spark  for Machine Learning:
    • Data frames on Spark
    • Introduction to MLib, SparkR, Pyspark
    • Clustering using Spark
    • Apache Kafka and Kafka Cluster
    • Applications of Kafka

Module 5: Apache Flume

  • Introduction to Apache Flume
  • Why is it required?
  • Flume Architecture
  • Flume Sources
  • Flume Sinks
  • Flume Channels
  • Apache Spark Streaming:
    • What is Spark Streaming?
    • Necessity of streaming
    • Features
    • Workflow
    • What are DStreams and their need
    • DStreams transformations
    • Word counting using Spark Streaming
    • Windowed operators
    • Stateful operators

Big Data & Data Science Course Reviews

(4.6/5 based on 62 reviews)

Abhinav Kumar

Big Data Analyst
 

Being a tech savvy person I always wanted to learn the Big data and excel myself in the Data Science career. Digital Nest served as a catalyst for my passion to learn and become a data, Scientists. They train you from the scratch with the necessary concepts. They also provide training on how to face interviews along with placement assistance

Diana Ch

Data Analyst
 
The feeling I got after attending a Big Data demo can’t be expressed in words. I’m working as a normal Data Analyst and the support Digital Nest gave me with the impeccable training made me grow in my career and excel myself. I would recommend anyone Digital Nest who wants to learn the Big Data and Data Science courses.

Vrinda Somani

Data Analyst
Lucid IT Training

Though I opted for an e-learning course, I never failed to ask doubts and participate in the assignments. The digital nest is a great platform even for the e-learners, self-learners and a slow learner like me. Digital Nest is the only platform for what I’m now, the training, experts and the surrounding with motivated people all around will make you feel you that what you paid is worth.

Manohar

Big Data Analyst

Digital Nest is a great place for learning the complete spectrum of Big Data and data Science courses, as I was being busy all the day their e-learning portal helped me in learning the courses without any hassles and their approach towards learning is spellbound. You will definitely gain practical knowledge and the awesome thing is they give provide the placement assistance also after the completion of course.

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