Apache Spark and Scala Certification Training Course

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Apache Spark and Scala Certification Training Course

CertHippo Apache Spark and Scala certification is designed to match industry benchmarks and is selected by top industry professionals. This Apache Spark course will assist you in mastering Apache Spark and the Spark Ecosystem, which includes Spark RDDs, Spark SQL, Spark Streaming, and Spark MLlib, as well as Spark interaction with other tools such as Kafka and Flume. This live, instructor-led class helps you learn core Apache Spark topics through hands-on demos. This Apache Spark course is entirely immersive, allowing you to engage with the teacher and your peers while learning. Enroll in this Spark and Scala online programmer right now.

Why This Course

Spark has been used by major corporations including as Facebook, Instagram, Netflix, Yahoo, Walmart, and many others to process data and enable downstream analytics.

According to Fortune Business Insights, the global big data analytics market will be worth $549.73 billion by 2028, growing at a CAGR of 13.2% throughout the forecast period.

Big Data Developer salaries in the United States range from USD 73,445 to USD 140,000, with a median income of USD 114,000 – Indeed.com.

Why Enroll In Course?

Banking, retail, manufacturing, finance, healthcare, and government are among the businesses making considerable investments in big data analytics to make better business decisions. This means that a variety of employment will be generated in each area, for which employees with this skill will be required. It is also predicted that the increase in demand for these professions will considerably outnumber the current supply. Spark and Scala certification will undoubtedly improve your chances of finding a decent job with a good wage.

Training Features

Live Interactive Learning

Lifetime Access

24x7 Support

Hands-On Project Based Learning

Industry Recognized Certification

Cloud

Course Curriculum

Introduction to Big Data Hadoop and 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
Hadoop Terminal Commands
Big Data Analytics with Batch & Real-time Processing
Why Spark is needed?
What is Spark?
How Spark differs from other frameworks?
Spark at Yahoo!

Hands-on:

Hadoop terminal commands

Skills You will Learn:

Hadoop components and its architecture
Storing data in HDFS
Working with HDFS commands

Introduction to Scala for Apache Spark

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

Hands-on:

Control structures in Scala
Working with various looping statements
Implementing collections in Scala

Skills You will Learn:

Writing Basic Scala Programs
Working with Collections in Scala

Functional Programming and OOPs Concepts in Scala

Topics:

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

Hands-on:

Creating objects and classes
Working with higher order functions
Creating constructors in Scala

Skills You will Learn:

Implementing OOPs Concepts
Functional Programming

Deep Dive into Apache Spark Framework

Topics:

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

Hands-on:

Building and Running Spark Application
Spark Application Web UI
Configuring Spark Properties
Data ingestion using Sqop

Skills You will Learn:

Writing basic Sprk application
Spark architecture and its components
Ingesting structured data into HDFS

Playing with Spark RDDs

Topics:

Challenges in Existing Computing Methods
Probable Solution & How RDD Solves the Problem
What is RDD, It’s 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 Spark

Hands-on:

Loading data in RDDs
Saving data through RDDs
RDD Transformations
RDD Actions and Functions
RDD Partitions
WordCount through RDDs

Skills You will Learn:

Transformations and actions in Spark
Implementing RDDs in Spark

Data Frames and Spark SQL

Topics:

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

Hands-on:

Spark SQL – Creating Data Frames
Loading and Transforming Data through Different Sources
Stock Market Analysis
Spark-Hive Integration

Skills You will Learn:

Working with DataFrame API
Querying structured data using Spark SQL
Integrating Spark with Hive

Machine Learning using Spark MLlib

Topics:

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

Hands-on:

Face detection use case

Skills You will Learn:

Understanding machine learning
Functions and features of MLlib

Deep Dive into Spark MLlib

Topics:

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

Hands-on:

Machine Learning MLlib
K- Means Clustering
Linear Regression
Logistic Regression
Decision Tree
Random Forest

Skills You will Learn:

Working with machine learning algorithms
Implementing Spark MLlib

Understanding Apache Kafka and Apache Flume

Topics:

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
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

Hands-on:

Configuring Single Node Single Broker Cluster
Configuring Single Node Multi Broker Cluster
Producing and consuming messages
Flume Commands
Setting up Flume Agent
Streaming Twitter Data into HDFS

Skills You will Learn:

Ingesting unstructured data into HDFS
Working with Kafka command line tools

Apache Spark Streaming - Processing Multiple Batches

Topics:

Drawbacks in Existing Computing Methods
Why is Streaming Necessary?
What is Spark Streaming?
Spark Streaming Features
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

Hands-on:

Creating a DStream
Transformation on DStreans
Creating streaming context

Skills You will Learn:

Working with DStream API

Apache Spark Streaming - Data Sources

Topics:

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 Sentiment Analysis Using Spark Streaming

Hands-on:

Different Streaming Data Sources
Integrating Spark with Kafka and Flume
Twitter Sentiment Analysis

Skills You will Learn:

Real time data processing
Building data pipelines

Free Career Counselling

We are happy to help you 24/7

Certification

What do I need to do to unlock CertHippo Apache Spark and Scala Training certificate?

To obtain the Apache Spark and Scala Training course completion certificate from CertHippo , you must do the following:

Participate fully in this Apache Spark Certification Training Course.
Evaluation and completion of the following assessments and projects.
You must complete the course and achieve at least 80% on the evaluation.

Is Big Data Analytics a good career option?

Big Data is omnipresent, and there is a near-immediate need to capture and retain whatever data is created, for fear of missing out on anything vital. This is why Big Data Analytics is on the cutting edge of IT and has become critical as it assists in enhancing business, decision making, and delivering the most competitive advantage. Analytics-experienced IT experts are in great demand as firms seek to harness the potential of Big Data. The number of job posts for Analytics has grown significantly in the recent year. This apparent increase is attributable to a growth in the number of firms deploying Analytics and, as a result, seeking Big Data Analytics expertise. Despite the fact that Big Data Analytics is a 'Hot' career, there are still a big number of unfilled opportunities throughout the world owing to a dearth of essential skills. Picking a job in Big Data & Analytics will be a terrific career move, and it may be just the sort of work that you have been looking for.

How can beginners learn Apache Spark and Scala?

Because Apache Spark is a user-friendly framework, even beginners may quickly become acquainted with it. It requires suitable guidance and a well-structured training programmer to master its capabilities and functionality. Beginners interested in a career in Big Data Analytics can enroll in our program and get credentials to demonstrate their knowledge.

What is the value of Apache Spark Certification?

It's a widely used framework for analyzing and processing real-time data. The demand for Apache Spark training is increasing, and there are several lucrative career opportunities and positions available in IT businesses, making this an excellent moment for individuals to enroll and acquire certification. Because of the numerous career opportunities and possibilities, mastering Apache Spark and Scala abilities and getting started right immediately is also strongly advised.

What are the different job roles available after Apache Spark and Scala Certification?

Our Apache Spark certification course is designed to help applicants acquire skills and assess their knowledge. Apache Spark is now the most advanced technology in the world, opening the door to several opportunities for individuals wishing to progress in the Big Data Analytics industry. After completing this certification, you will have access to a wide range of work opportunities and will be prepared for a career as a Big Data Developer, Big Data Engineer, Big Data Analyst, and many other positions.

Online Training FAQs

What if I miss a class of Apache Spark training?

"With CertHippo, you will never miss a lecture!" You can select one of two options:

See the class's recorded session, which is available in your LMS.
You can make up for the missing session by attending any other live batch."

What if I have queries after I complete this Apache Spark online course?

Your access to the Support Team is permanent and available 24 hours a day, seven days a week. The staff will assist you in addressing any issues that arise during and after the training.

How soon after Signing up would I get access to the Learning Content?

Upon enrollment, you will have immediate access to the LMS and will have it for the rest of your life. You will get access to all past class recordings, PPTs, PDFs, and assignments. Access to our 24x7 support team will also be available immediately. You may begin learning immediately.

Is the Apache Spark Certification Course material accessible to the students even after the course training is over?

Yes, if you join the Apache Spark online course, you will have lifetime access to the course material.

Who are the instructors of Apache Spark online training?

CertHippo professors are all industry practitioners with at least 10-12 years of relevant IT experience. These are subject matter experts who have been educated by CertHippo to provide participants with an outstanding learning experience.

Why learn Apache spark? What are the career benefits?

Apache Spark is one of the most popular Big Data frameworks today. Spark is the next evolutionary step in big data processing settings since it supports both batch and streaming operations. As a result, it is the appropriate framework for anybody searching for fast data analysis. With firms keen to include Spark into their systems, knowing this framework can help you advance your career.

How to learn Scala For Spark?

Scala is an acronym that stands for Scalable languages. If you want to learn Spark with Scala, CertHippo training programmer is for you. Our training module begins from the beginning and covers every module required. We ensure that you meet your learning objectives by providing instructor-led sessions and a 24x7 support system.

How to learn Apache Spark?

CertHippo extensive library of guides, tutorials, and full-fledged courses will not only assist you in comprehending Spark, but also in mastering it. You may start with Spark and get basic core knowledge by reading our blogs. Our tutorials will then assist you in delving deeper and comprehending the fundamental principles. Following that, our training will assist you in completely grasping the technology through instructor-led workshops and real-world hands-on experience.

How much time does it take to learn Spark?

CertHippo Spark and Scala training is a systematic 6-week training programme designed to assist our learners grasp Spark and Scala. Throughout these six weeks, you will attend classes for live instructor-led sessions as well as work on numerous assignments and projects that will help you get a solid grasp of the Spark ecosystem.

How long will it take to complete the course?

CertHippo Spark and Scala Certification Training provides a flexible batch schedule to meet the demands of all students. The weekend batches are 6 weeks long and consist of live instructor-led sessions. This is followed by a real-time project for further hands-on experience. With intense training sessions and an actual project to work on at the conclusion, the accelerated programmer or weekday batches may be finished in significantly less time.

Why take online Spark and Scala course? How is it better than offline course?

With the introduction of technology, learning methodology has altered. Online training improves the training module's ease and quality. Our online learners will have someone available to them at all times, even after the lesson has ended, thanks to our 24x7 support system. This is one of the driving forces in ensuring that people attain their ultimate learning goal. All of our students get lifetime access to our updated course content.

How can a beginner learn Spark and Scala?

The work market is dominated by big data as a technology. For total novices, we have created a comprehensive selection of articles and lessons on our blogging and YouTube channels that can be of great assistance if you are just getting started. After you understand the fundamental ideas, you might consider taking CertHippo Apache Spark and Scala Certification Courses to completely grasp the technology.

What are the top Apache Spark certifications that I can go for?

Followings are the top 5 certification:

Cloudera Spark and Hadoop Developer
HDP Certified Apache Spark Developer
MapR Certified Spark Developer
Databricks Apache Spark Certifications
O’Reilly Developer Apache Spark Certifications

Top Reasons why one should become a certified Spark Developer?

If you want to work with big data, this is the first step in earning the spark certification. This qualification will help advance your career. You will get confirmation of your Spark abilities after you are certified by Spark. Almost every company wants to have this accreditation.

Spark certification preparation is simple to achieve. There are several ways to obtain certification. The ideal reason to become certified is to gain an advantage over your peers. Because there's a lot of competition outside.

What you need to know about Databricks Certified Associate Developer for Apache Spark 3.0?

The Databricks Certified Associate Developer for Apache Spark 3.0 certification assesses your grasp of the Spark DataFrame API. It also evaluates your ability to utilize the Spark DataFrame API to conduct basic data manipulation activities within a Spark session. These duties include modifying, filtering, dropping, and sorting columns, dealing with missing data, and merging, reading, and creating Data Frames with schemas. They also include working with UDFs or Spark SQL functions. The test will also examine core components of Spark architecture such as execution/deployment mode, execution hierarchy, fault tolerance, and garbage collection.

Course Description

About the Apache Spark and Scala Online Course

The Apache Spark Certification Training Course is designed to provide you the information and abilities you need to become a successful Big Data & Spark Developer. This training will assist you in passing the CCA Spark and Hadoop Developer (CCA175) exam. You will learn the fundamentals of Big Data and Hadoop, as well as how Spark enables in-memory data processing and is considerably quicker than Hadoop MapReduce. This course also covers RDDs, Spark SQL for structured processing, and other Spark APIs such as Spark Streaming and Spark MLlib. This Scala online course is an essential component of the career path of a Big Data Engineer. It will also cover core ideas like data capture using Flume, data loading with Sqoop, communications systems like Kafka, and so on.

What are the objectives of our Online Spark Training Course?

Spark Certification Course was created by industry professionals to prepare you to become a Certified Spark Developer. The Spark Scala Course includes:

Big Data and Hadoop Overview, including HDFS (Hadoop Distributed File System) and YARN (Yet Another Resource Negotiator)
Complete understanding of major Spark Ecosystem technologies such as Spark SQL, Spark MlLib, Sqoop, Kafka, Flume, and Spark Streaming.
The ability to import data into HDFS using Sqoop and Flume, as well as analyze big datasets stored in HDFS.
The ability to handle real-time data flows using a publish-subscribe messaging system such as Kafka
The opportunity to work on a variety of real-world industrial projects utilizing CertHippo CloudLab.
Projects ranging in scope from finance to telecommunications to social media to governance.
SME engagement was rigorous throughout the Spark. Training to understand industry best practises and standards

Why should you go for Online Spark Training?

Spark is a rapidly expanding and frequently used Big Data and Analytics platform. It has been used by several firms from diverse fields throughout the world, and hence provides exciting job chances. To participate in these possibilities, you must have organized training that is aligned with Cloudera Hadoop and Spark Developer Certification (CCA175) and current industry needs and best practises.A solid hands-on experience is required in addition to a good theoretical grasp. As a result, during the CertHippo Spark and Scala course, you will work on a variety of industry-based use-cases and projects that use big data and spark technologies as part of the solution approach.

Furthermore, all of your concerns will be answered by an industry specialist who is presently working on real-world big data and analytics projects.

What are the skills that you will be learning with our Spark Certification Training?

Certhippo Spark Training is intended to assist you in becoming a successful Spark developer. Our knowledgeable tutors will teach you how to-

Create a Spark application by writing Scala programmes.
Understand HDFS concepts.
Learn the Architecture of Hadoop 2.x
Discover Spark and its Ecosystem
Spark Shell operations should be implemented.
Use YARN to run Spark apps (Hadoop)
Use Spark RDD ideas to create Spark applications.
Learn how to use Sqoop for data intake.
Use Spark SQL to run SQL queries.
Using the Spark MLlib API, implement several machine learning methods.
Describe Kafka and its components.
Learn about Flume and its components.
Connect Kafka to real-time streaming technologies such as Flume.
Use Kafka to send and receive messages.
Spark Streaming Application Development Process Many Batches in Spark Streaming
Implement many streaming data sources.

What are the skills that you will be learning with our Spark Certification Training?

CertHippo Spark Training is intended to assist you in becoming a successful Spark developer. Our knowledgeable tutors will teach you how to-

Create a Spark application by writing Scala programmers.
Understand HDFS concepts.
Learn the Architecture of Hadoop 2.x
Discover Spark and its Ecosystem
Spark Shell operations should be implemented.
Use YARN to run Spark apps (Hadoop)
Use Spark RDD ideas to create Spark applications.
Learn how to use Sqoop for data intake.
Use Spark SQL to run SQL queries.
Using the Spark MLlib API, implement several machine learning methods.
Describe Kafka and its components.
Learn about Flume and its components.
Connect Kafka to real-time streaming technologies such as Flume.
Use Kafka to send and receive messages.
Spark Streaming Application Development Process Many Batches in Spark Streaming
Implement many streaming data sources.

Who should take this Apache Spark Certification Course?

The market for Big Data Analytics is expanding rapidly throughout the world, and this robust development trend, along with market demand, represents an excellent opportunity for all IT professionals. Below are a few Professional IT groups that are constantly reaping the benefits and advantages of entering into the Big Data industry.

Architects and developers
Specialists in Business Intelligence/ETL/DW
Senior Information Technology Professionals
Professionals in Testing
Mainframe Specialists
Freshers
Big Data Fanatics
Architects, Engineers, and Developers of Software
Data Scientists and Analytics Experts

How will Apache Spark Certification Training help your career?

The following statistics will give you an idea of the rising popularity and acceptance rate of Big Data solutions like Spark in the current and forthcoming years:

Forbes reports that 56% of businesses will increase their investment in big data during the next three years.
According to McKinsey, there will be a 1.5 million data specialist shortage by 2018.
Spark Developers earn an average of $113k per year.
According to a McKinsey estimate, by 2025, the United States would face a shortfall of almost 190,000 data scientists, 1.5 million data analysts, and Big Data managers.

As you are aware, many organizations are expressing interest in Big Data and using Spark as part of their solution strategy, and the demand for positions in Big Data and Spark is increasing quickly. Therefore, it’s time to start a career in Big Data & Analytics with our Spark and Scala Certification Training Course.

What are the prerequisites for our Spark and Scala Certification Training?

Our Spark Scala Certification Training has no such prerequisites. Nevertheless, prior experience of Java programming and SQL is advantageous but not required.

How will I execute the Practical in this Spark Certification Training?

You will complete all of your Spark and Scala Course Assignments/Case Studies on the Certhippo Cloud LAB environment. You will use a browser to access the Cloud LAB. If you have any questions, CertHippo Support Service is accessible 24 hours a day, 7 days a week.

What is Cloud Lab?

Cloud Lab is a cloud-based Spark and Hadoop environment provided by CertHippo as part of the Spark Course, where you can perform all in-class demos and work on real-world Spark case studies with ease. This not only saves you the bother of installing and maintaining Spark and Scala on a virtual computer, but it also gives you hands-on experience with a genuine big data and spark production cluster. You’ll be able to use your browser to access the Spark Training Cloud Lab, which requires very no hardware equipment. If you get stuck at any point, our help team is available 24 hours a day, 7 days a week.

What are the system requirements for our Apache Spark Certification Training?

You won’t have to worry about system requirements because your practical will be performed on a Cloud LAB, which is a pre-configured environment. This environment already has all of the tools and services needed for CertHippo course.