Big Data and Hadoop & Spark

BY
Board Infinity

Learn how to use Hadoop and Spark to make data-driven business choices using the core functionalities of big data analytics.

Lavel

Beginner

Mode

Online

Duration

1 Week

Fees

₹ 15000 20000

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

Big Data and Hadoop & Spark certification course is created by Board Infinity, an online educational platform aimed at job seekers and students that will help them set realistic goals by allowing them to reach their full potential. The Big Data and Hadoop & Spark online course aims to teach individuals how to use technologies like Hadoop and Apache Spark to methodically collect data and analyze data sets that are too complicated.

Big Data and Hadoop & Spark online classes comprise more than live video-based classes along with case studies and assignments. This course covers Hadoop, Spark, Hive, PySpark, NoSQL, HDFS, and YARN, as well as other big data and big data analytics technologies. Individuals will receive a certificate from Board Infinity upon successful completion of this course, demonstrating their understanding of big data analytics topics.

The highlights

  • Certificate of completion
  • Live online course
  • Case studies
  • Assignments
  • Projects

Program offerings

  • Online course
  • Mentoring from experts
  • Learning resources. unlimited access
  • Accessible on mobile devices

Course and certificate fees

Fees information
₹ 15,000  ₹20,000
certificate availability

Yes

certificate providing authority

Board Infinity

What you will learn

Knowledge of big data Knowledge of apache spark

After completing the Big Data and Hadoop & Spark online certification, individuals will be introduced to Hadoop and Spark for big data analytics and data analysis, as well as their concepts and basic functions. Individuals will learn about the basics of big data. Individuals will learn about NoSQL, YARN, HDFS, PySpark, and Hive, as well as other big data analytics technologies.

The syllabus

Big Data with Hadoop

  • Introduction to Big Data and Hadoop
  • Hadoop Architecture, Distributed Storage (HDFS)
  • Data Ingestion into Big Data Systems and ETL
  • Distributed Processing Map-Reduce Framework and Pig
  • Apache Hive
  • Hive with SQL and Data Aggregation

HDFS & YARN

  • Uses of Big Data analytics in various industries
  • Problems with Traditional Large-Scale Systems
  • The motivation for Hadoop
  • Comparison of traditional data management
  • Hadoop Ecosystem

Big Data with Spark

  • Architecture
  • RDD
  • JOINS
  • Spark SQL to Spark Dataframe conversion
  • Performance

Big Data with PySpark

  • Introduction to PySpark
  • Resilient Distributed Datasets
  • Data frames and Transformations
  • Data Processing with Spark Data Frames
  • Sorting Techniques

Big Data with Hive

  • As a Data Warehouse
  • Partitioning
  • Bucketing
  • Drawbacks
  • Why Hive and why not HBase?
  • Common Issues
  • Hive QL

Instructors

Mr Gowtham Jayachandiran

Mr Gowtham Jayachandiran
Data Scientist
Freelancer

B.E /B.Tech, M.E /M.Tech.

Mr Sumit Shukla

Mr Sumit Shukla
Data Analyst
Freelancer

Mr Anurag Mukherjee

Mr Anurag Mukherjee
Senior Analyst
Accenture

B.E /B.Tech

Mr Rajanikant Ghate

Mr Rajanikant Ghate
Data Scientist
Freelancer

B.E /B.Tech, M.E /M.Tech.

Mr Kadhiravan Jayachandiran

Mr Kadhiravan Jayachandiran
Communication Specialist
Board Infinity

Mr Akhil Thimmaiah

Mr Akhil Thimmaiah
Associate Program Manager
eClerx

B.E /B.Tech

Mr Saandeep Sreerambatla

Mr Saandeep Sreerambatla
Senior Consultant
ADP India Private Li...

Mr Vinal Reddy

Mr Vinal Reddy
Analytics Lead
Flipkart Pvt. Ltd.

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