Spark Training

Key Highlights

+1 930 200 4823

30 Hrs Instructor Led Training

Self-paced Videos

20 Hrs Project & Exercises

Certification

Job Assistance

Flexible Schedule

Lifetime Free Upgrade

Mentor Support

Curriculum

A complete index of
job-ready skills curated
to meet the industrial need.
Explore.

Introduction to Big Data Hadoop and Apache Spark Topics:

What is Big Data?
Big Data Customer Scenarios
Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case
How Hadoop Solves the Big Data Problem?
What is Hadoop?
Hadoop’s Key Characteristics
Hadoop Ecosystem and HDFS
Hadoop Core Components
Rack Awareness and Block Replication
YARN and its Advantage
Hadoop Cluster and its Architecture
Hadoop: Different Cluster Modes
Big Data Analytics with Batch & Real-time Processing
Why Apache Spark is needed?
What is Apache Spark?
How Apache Spark differs from other frameworks?

Introduction to Scala for Apache Apache Spark

What is Scala?
Why Scala for Apache Spark?
Scala in other Frameworks
Introduction to Scala REPL
Basic Scala Operations
Variable Types in Scala
Control Structures in Scala
For each loop, Functions and Procedures
Collections in Scala- Array
ArrayBuffer, Map, Tuples, Lists, and more

Apache Spark at Yahoo!

Functional Programming and OOPs Concepts in Scala

Functional Programming
Higher Order Functions
Anonymous Functions
Class in Scala
Getters and Setters
Custom Getters and Setters
Properties with only Getters
Auxiliary Constructor and Primary Constructor
Singletons
Extending a Class
Overriding Methods
Traits as Interfaces and Layered Traits

Deep Dive into Apache Spark Framework

Apache Spark’s Place in the Hadoop Ecosystem
Apache Spark Components & its Architecture
Apache Spark Deployment Modes
Introduction to Apache Spark Shell
Writing your first Apache Spark Job Using SBT
Submitting Apache Spark Job
Apache Spark Web UI
Data Ingestion using Sqoop

Playing with Apache Spark RDDs

Challenges in Existing Computing Methods
Probable Solution & How RDD Solves the Problem
What is RDD, Its Operations, Transformations & Actions
Data Loading and Saving Through RDDs
Key-Value Pair RDDs
Other Pair RDDs, Two Pair RDDs
RDD Lineage
RDD Persistence
WordCount Program Using RDD Concepts
RDD Partitioning & How It Helps Achieve Parallelization
Passing Functions to Apache Spark

DataFrames and Apache Spark SQL

Need for Apache Spark SQL
What is Apache Spark SQL?
Apache Spark SQL Architecture
SQL Context in Apache Spark SQL
User Defined Functions
Data Frames & Datasets
Interoperating with RDDs
JSON and Parquet File Formats
Loading Data through Different Sources
Apache Spark – Hive Integration

Machine Learning using Apache Spark MLlib

Why Machine Learning?
What is Machine Learning?
Where Machine Learning is Used?
Face Detection: USE CASE
Different Types of Machine Learning Techniques
Introduction to MLlib
Features of MLlib and MLlib Tools
Various ML algorithms supported by MLlib

Deep Dive into Apache Spark MLlib

Supervised Learning - Linear Regression, Logistic Regression, Decision Tree, Random Forest
Unsupervised Learning - K-Means Clustering & How It Works with MLlib
Analysis of US Election Data using MLlib (K-Means)

Understanding Apache Kafka and Apache Flume

Need for Kafka
What is Kafka?
Core Concepts of Kafka
Kafka Architecture
Where is Kafka Used?
Understanding the Components of Kafka Cluster
Configuring Kafka Cluster
Kafka Producer and Consumer Java API
The need of Apache Flume
What is Apache Flume?
Basic Flume Architecture
Flume Sources
Flume Sinks
Flume Channels
Flume Configuration
Integrating Apache Flume and Apache Kafka

Apache Spark Streaming - Processing Multiple Batches

Drawbacks in Existing Computing Methods
Why Streaming is Necessary?
What is Apache Spark Streaming?
Apache Spark Streaming Features
Apache Spark Streaming Workflow
How Uber Uses Streaming Data
Streaming Context & DStreams
Transformations on DStreams
Describe Windowed Operators and Why it is Useful
Important Windowed Operators
Slice, Window and ReduceByWindow Operators
Stateful Operators

Apache Spark Streaming - Data Sources

Apache Spark Streaming: Data Sources
Streaming Data Source Overview
Apache Flume and Apache Kafka Data Sources
Example: Using a Kafka Direct Data Source
Perform Twitter Sentimental Analysis Using Apache Spark Streaming

We have made a tailored curriculum covering the latest industry-ready concepts to serve every individual’s learning desires.

Spark Training Objectives

1. What are the Apache Spark course objectives?

After the successful completion of Apache Spark training at Tekslate, the participant will be able to

Get an overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator).
Gain knowledge of Apache Spark and Scala Programming implementation.
Gain comprehensive knowledge of various tools that fall in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming.
Write Spark applications using Scala.
Understand RDD, its Operations, Transformations & Actions along with the implementation of Spark algorithms.
Gain knowledge on Scala classes concept and execution patterns.
Understand data ingestion using Sqoop.
Perform SQL queries using Spark SQL.
Use Kafka to produce and consume messages.

2. Why should you learn Apache Spark?

Top companies like Microsoft, Amazon, IBM, etc., are incorporating Apache Spark in their deployments.
There is a high market demand for certified Apache Spark developers and high salary packages are being offered to them.
The average pay of a Certified Apache Spark developer stands at 105,700 USD per annum.

3. Who should attend Apache Spark training?

The following job roles will get benefited from learning this course:

Aspirants looking for a career in this field.
Analytics professionals
Research professionals
IT developers and testers
Data scientists
BI and reporting professionals
Professionals who want to enhance their skills in Big Data analytics.

4. What are the prerequisites for learning Apache Spark?

As such, there are no prerequisites for learning Apache Spark course. Anyone who is interested in learning this course can join this training.

Having basic knowledge of databases, SQL and query language will be beneficial, but not mandatory.

5. What projects are included in this Apache Spark training course?

We will provide two real-time projects under the guidance of a professional trainer, who will explain you on how to acquire in-depth knowledge on all the concepts involved in these projects.

+1 930 200 4823

Training Options

Different individuals. Different upgrade goals. Different modes of learning.

We got solutions for everyone looking for an AWS Architect course. Opt in for your convenient upgrade option, and we will guide you through.

Duration

One-on-one Session

Support

Resources

Time

Fee

Live Online.

30 Hours

Yes

24x7

Additional tips from the trainer

24 Jan 2022, 07:00 AM IST

31 Jan 2022, 07:00 AM IST

Self-Paced

30 Hours

Weekdays & Working Hours

Accessible through LMS

At your convenience

Spark Training Upcoming Batches

Weekday

24 Jan, 2022 - 24 Feb, 2022

01:30 AM IST

Weekday

31 Jan, 2022 - 03 Mar, 2022

01:30 AM IST

Weekend

29 Jan, 2022 - 01 Mar, 2022

02:30 AM IST

Weekend

22 Jan, 2022 - 22 Feb, 2022

02:30 AM IST

Schedules Doesn't Suit You ?

Our Team can set up a batch at your convinient time.

Corporates Training

Experience and witness the express transformation of your workforce from the world-class tech upgrade platform.

Customized training options

Tailored curriculum to fit your project needs.

Practical exposure is assured.

We have got everything covered for any IT upgrade for your organization. We are one click away.

Success Stories from Future Digital Leaders

Its a great learning experience at Tekslate, it provides flexible course timings any time anywhere as per user convenience. I attended Apache Spark training last month. The course content they deliver is very informative and according to latest developments required for the certification exam.

Madhu Sudan

Hi, I’m Arjun attended Apache Spark training with my colleagues. The trainer is highly experienced and talented in implementing projects with an in-detail explanation which helped me to clear Spark developer certification in first submit itself.

Arjun

Tekslate provides the best Apache Spark training at an affordable price. The trainer is highly skilled in explaining projects with real-time examples which helped me to understand even better. Thank you Tekslate. I highly recommend Tekslate for the people who want to gain knowledge of Spark and Scala concepts.

Niharika