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Big Data Hadoop Spark Developer Training

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Enrolled: 7278 students
Duration: 40 Hrs
Lectures: 16
Level: Intermediate

Timesanalytics’s Big Data Hadoop Spark Developer (BDHS) Training is designed by experts in the industry. In this Training program, you will learn Apache Spark, Python, python libraries and frameworks, Pyspark, Scala, etc. The In-depth exercises and real-time projects on Apache Spark makes you proficient in the Segment. This course is recommended as the foundation course for all professionals looking to develop Hadoop big data applications for their organizations.

40 Hrs Instructor-led Training

80 Hrs Self-paced Videos

120 Hrs Project Work & Exercises

Flexible Schedule

24 x 7 Lifetime Support & Access

Certification and Job Assistance

Skills Covered ...

Spark

Apache Flume

HCatalog

Apache Kafka

Pig

Scala REPL

Impala

Sqoop

SBT/Eclipse

Spark Streaming

Hive

Python

100% MONEY BACK GUARANTEE

Who is Spark Developer Training for?

40+ In-Demand Skills & 25+ Services

Access to 200+ hours of Applied Learning

Capstone Project in 3 domains

16+ Real-Life Projects

TimeAnalytics JobAssist

Get noticed by the top hiring companies

Rs.15 lacs - Rs.25 lacs

Annual Salary

TimesAnalytics EDGE

Solid Track Record

TimesAnalytics has empowered thousands of professionals with project management certifications.

Experiential Workshops

High energy workshops with hands-on learning: activities, team-based exercises, practical case studies.

Comprehensive Exam Support

Theoretical and practical learning backed by mock tests. We’re right by you for any certification assistance.

Mentorship by Industry Experts

One-to-one mentorship, real-world tips and time-tested techniques from accredited expert practitioners.

Continual Learning Support

Webinars, e-books, tutorials, articles, and interview questions - we're right by you in your learning journey!

Exclusive Post-Training Sessions

Six months of post-training mentor guidance to overcome challenges in your project management career.

Empower your teams to deliver. Every time.

Equip your teams to keep up with change and drive results.​

Employees from leading companies worldwide have enrolled with us

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Big Data- Hadoop & Spark Developer

1
Introduction to Big data and Hadoop
2
Hadoop Architecture Distributed Storage and YARN
3
Distributed Processing MapReduce Framework and Pig
4
Data Ingestion using Big Data Ingestion Tools
5
Sqoop
6
Flume
7
Kafka
8
Hive and Impala
9
NoSQL Databases HBase
10
Basics of Scala
11
Spark overview
12
Spark Architecture Deep Dive
13
RDD
14
DataFrames and Spark SQL
15
MLLib Modelling, Stream Processing Frameworks, and Spark Streaming
16
Spark GraphX

Prerequisites for Spark are. Basics of Hadoop file system, Understanding of SQL concepts, Basics of any Distributed Database (HBase, Cassandra)
You just need 4GB RAM to learn Spark, Windows 7 or 10, i3, i5 or higher processor
There are no restrictions but participants would benefit if they have basic computer knowledge.

DataBricks Report

According to a recent survey by DataBricks, 71% of Spark users use Scala for programming. Spark with Scala is a perfect combination to stay grounded in the Big Data world. 9 out of 10 companies have this successful combination running in their organizations. Spark has over 1000 contributors across 250+ organizations making it the most popular open source project ever. The Apache Spark Market is expected to grow at a CAGR of 67% between 2019 and 2022 jostling a high demand for trained professionals.

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