Name: Apache Spark and Scala Certification Training
Brand: Encertify
SKU: 42
Price: 180 USD
Availability: InStock
Rating: 4.5 (11900 reviews)

Apache Spark and Scala Certification Training

Get certified in Apache Spark and Scala from the comfort of your home and transform your career
Also prepares you for the Cloudera Certified Associate Spark and Hadoop Developer Certification Exam (CCA175)
Curated by industry experts, the course provides in-depth knowledge on Apache Spark, Spark Ecosystem, Scala Programming language and other concepts such as HDFS, Sqoop, FLume, Spark GraphX, and Kafka.
36 hours of Instructor-led Apache Spark and Scala Online Classes with Hands-on practice with Cloud Lab
We guarantee great value at lowest price in the industry

Apache Spark Scala Training Options

Online Self-Learning

Anytime, Anywhere: Learn whenever it is convenient to you
Learn through high quality presentations, quizzes, recordings of live classes; installation guide available in LMS
Course content created using real life case studies and live project
24x7 customer support through email and ticket-based
Lifetime access to online Learning Management System (LMS)

Validity: Lifetime

USD 299 180

(40% Off)

Apache Spark and Scala Certification Course Overview

Spark is one of the most popular Big Data & Analytics tools and expertise in Spark offers promising career opportunities. This Apache Spark and Scala Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This course is aligned to Cloudera Certified Associate Spark and Hadoop Developer Certification (CCA175) and current industry requirements and best practices. At the successful completion of the course, you will be provided with Apache Spark and Scala Developer certification. In addition, you will also be ready to take the Cloudera Certified Associate Spark and Hadoop Developer Certification Exam (CCA175).

This course is an integral part of a Big Data Developer’s Career path and it covers all essentials concepts related to Apache Spark. Besides strong theoretical understanding, this course will also provide you with strong hands-on experience. Throughout the course, you will be working on various industry-based use-cases and projects incorporating big data and spark tools as a part of solution strategy.

Additionally, all your doubts will be addressed by an expert instructor and industry professional, currently working on real life big data and analytics projects.

Course Objectives:

The Spark Scala Course offers:

Overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator)
Comprehensive knowledge of various tools that falls in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming
The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
The power of handling real time data feeds through a publish-subscribe messaging system like Kafka
The exposure to many real-life industry-based projects which will be executed using CloudLab
Projects which are diverse in nature covering banking, telecommunication, social media, and govenment domains
Rigorous involvement of a SME throughout the Spark Training to learn industry standards and best practices

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Apache Spark and Scala Course Topics

What is Scala?
Why Scala for Spark?
Scala in other frameworks
Introduction to Scala REPL
Basic Scala operations
Variable Types in Scala
Control Structures in Scala
Foreach loop, Functions and Procedures
Collections in Scala- Array
ArrayBuffer, Map, Tuples, Lists, and more

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
Programming
Higher Order Functions
Anonymous Functions, and more

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
HDFS Read/Write Mechanism
YARN and Its Advantage
Hadoop Cluster and Its Architecture
Hadoop: Different Cluster Modes
Data Loading using Sqoop

Big Data Analytics with Batch & Real-Time Processing
Why Spark is Needed?
What is Spark?
How Spark Differs from Its Competitors?
Spark at eBay
Spark’s Place in Hadoop Ecosystem
Spark Components & it’s Architecture
Running Programs on Scala IDE & Spark Shell
Spark Web UI
Configuring Spark Properties

Challenges in Existing Computing Methods
Probable Solution & How RDD Solves the Problem
What is RDD, It’s Functions, Transformations & Actions?
Data Loading and Saving Through RDDs
Key-Value Pair RDDs and Other Pair RDDs o RDD Lineage
RDD Persistence
WordCount Program Using RDD Concepts
RDD Partitioning & How It Helps Achieve Parallelization

Need for Spark SQL
What is Spark SQL?
Spark SQL Architecture
SQL Context in Spark SQL
Data Frames & Datasets
Interoperating with RDDs
JSON and Parquet File Formats
Loading Data through Different Sources

What is Machine Learning?
Where is Machine Learning Used?
Different Types of Machine Learning Techniques
Face Detection: USE CASE
Understanding MLlib
Features of Saprk MLlib and MLlib Tools
Various ML algorithms supported by Spark MLlib
K-Means Clustering & How It Works with MLlib
Analysis on US Election Data: K-Means Spark MLlib USE CASE

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
Producer and Consumer

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

Drawbacks in Existing Computing Methods
Why Streaming is Necessary?
What is Spark Streaming?
Spark Streaming Features
Spark Streaming Workflow
How Uber Uses Streaming Data
Streaming Context & DStreams
Transformations on DStreams
WordCount Program using Spark Streaming
Describe Windowed Operators and Why it is Useful
Important Windowed Operators
Slice, Window and ReduceByWindow Operators
Stateful Operators
Perform Twitter Sentimental Analysis Using Spark Streaming

Project #1: US Election

Industry: Government

Technologies Used:

HDFS (for storage)
Spark SQL (for transformation)
Spark MLlib (for machine learning)
Zeppelin (for visualization)

Problem Statement : In the US Primary Election 2016, Hillary Clinton was nominated over Bernie Sanders from Democrats and on the other hand, Donald Trump was nominated from Republican Party to contest for the presidential position. As an analyst, you have been tasked to understand different factors that led to the winning of Hillary Clinton and Donald Trump in the primary elections based on demographic features to plan their next initiatives and campaigns.

Project #2: Design a system to replay the real time replay of transactions in HDFS using Spark.

Technology Used :

Spark Streaming
Kafka (for messaging)
HDFS (for storage)
Core Spark API (for aggregation)

Project #3: Instant Cabs

Industry: Transportation

Technologies Used :

HDFS (for storage)
Spark SQL (for transformation)
Spark MLlib (for machine learning)
Zeppelin (for visualization)

Problem Statement : A US cab service start-up (i.e. Instant cabs) wants to meet the demands in an optimum manner and maximize the profit. Thus, they hired you as a data analyst to interpret the available Uber’s data set and find out the beehive customer pick-up points & peak hours for meeting the demand in a profitable manner.

Project #4: Drop-page of signal during Roaming

Industry: Telecom

Technologies Used :

HDFS (for storage)
Spark SQL (for transformation)

Problem Statement : You will be given a CDR (Call Details Record) file, you need to find out top 10 customers facing frequent call drops in Roaming. This is a very important report which telecom companies use to prevent customer churn out, by calling them back and at the same time contacting their roaming partners to improve the connectivity issues in specific areas.

Apache Spark and Scala Certification & Exam

Prerequisites

There are no such prerequisites for this Spark and Scala Training Course. However, prior knowledge of Core Java and SQL will be helpful but is not at all mandatory.

Certification

Towards the end of the course, you will be working on a project. You will be certified as a Apache Spark and Scala Programmer based on the project. Once you successfully submit your Apache Spark and Scala certification project, it will be reviewed by the expert panel. After a successful evaluation, you will be awarded Apache Spark and Scala Programmer certificate.

In addition, you can also apply for Cloudera Hadoop and Spark Developer Certification (CCA175) separately.

Why choose our Apache Spark and Scala?

Course Design

Based on years of experience in delivering effective professional training, our courses are designed not only to provide you the Apache Spark and Scala certification, but also to empower with best practices.

We achieve this by providing a unique blend of concepts, case studies, and simulations that guarantee our students to become a successful Spark Developer in real life.

Unmatched Quality

We along with our affiliate partners are dedicated in creating the best quality study materials and student experience across our products. All content complies with quality conformance standards to ensure that our content is the best in class and free of any errors.

Low Cost

Without compromising on quality, we have priced our Apache Spark and Scala certification training courses very competitively. We guarantee that you will find us more economical than any other training provider.

Lifetime Access

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

Cloud Lab

Cloud Lab is provided to ensure you get real-time hands-on experience to practice your new skills on a pre-configured environment

Popularity

More than 20,000 satisfied learners have taken this course on Apache Spark and Scala.

Customer Satisfaction

We’re here 24/7 to ensure you’re heard and supported—no matter what questions or doubts you may have. Our team is committed to delivering exceptional customer service to every individual and organization we serve.

Apache Spark and Scala Training Frequently Asked Questions

Yes, we do offer additional discounts to group and corporate training customers. Please email us at support@encertify.com to find out more about our group discount offerings.

The orientation class is a preparatory session which gives a basic overview of the course and also guides the learners about any software/license installation required for the course. This will prepare you for the actual class, which will start the next week. Attending the orientation class is optional.

Use the "Submit your query"section in this page or check "Contact Us" section. Alternatively, please send an email to support@encertify.com to find out more about our course offerings.

If you're unemployed right now, or you're a student taking this course for career growth, we do provide additional discounts for you on selected courses. Please email support@encertify.com to avail this benefit and discount coupon.

Note: These discounts are available on selected courses only.

We do not offer placement or placement assistance services at this time. However, our training is designed to equip you with in-demand skills, hands-on experience, and certification readiness to help you confidently pursue new career opportunities. Many of our learners have successfully transitioned into new roles or advanced in their careers based on the knowledge and certifications gained through our programs

Apache Spark Scala Training Options

Apache Spark and Scala Certification Course Overview

Apache Spark and Scala Course Topics

Introduction to Scala for Apache Spark

OOPS and Functional Programming in Scala

Introduction to Big Data and Hadoop

Apache Spark Framework

Playing with RDDs

DataFrames and Spark SQL

Machine Learning using Spark MLlib

Understanding Apache Kafka and Kafka Cluster

Capturing Data with Apache Flume and Integration with Kafka

Apache Spark Streaming

Projects

Apache Spark and Scala Certification & Exam

Why choose our Apache Spark and Scala?

Course Design

Unmatched Quality

Low Cost

Lifetime Access

Cloud Lab

Popularity

Customer Satisfaction

Apache Spark and Scala Training Frequently Asked Questions

Do you provide any group or corporate discounts for this training/course?

What all is covered in the 1 day orientation class?

Whom do I contact to know more about the training program?

Do you provide discounts to unemployed individuals or students?

Do you provide placements or placement assistance after the course?

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