Online Apache Spark with Scala Certification Course

How it Works:

Step 1: Take a course

To begin, enroll in the Specialization and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time.

Step 2: Complete all modules / articles / hands-on Project

You'll need to successfully finish the all modules / articles / hands-on Project to complete the Specialization and earn your certificate

Step 3: Earn a Certificate

When you finish this course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

Minimum Eligibility :

• Must have a computer with good internet connection.
• Must have the desire to receive training for Big Data with Spark.
• Should have a basic understanding of Core Java and SQL.

Who is this course for :

This training will be most beneficial to the professionals listed below:

• Freshers
• Developers and Architects
• Senior IT Professionals
• BI /ETL/DW Professionals
• Data Scientists and Analytics Professionals
• Testing Professionals
• Big Data Enthusiasts
• Mainframe Professionals
• Software Architects, Engineers, and Developers

Course Comparison :

Below are the best online course providing portals. Hop on to these to compare course modules, certifications, features, duration, fees and other benefits and choose the one that best suits you.

What you will learn :

• Introduction to Big Data: Grasp the concept of Big Data including its elements and frameworks, and also the design and patterns of Hadoop Clusters.
• A Scala primer: Understand how to write in Scala, how to implement it, and the essential constructs needed for Apache Spark.
• Introduction to the Spark: Learn how to construct Spark apps and gain a knowledge of the principles behind Apache Spark.
• Methodologies and Frameworks for Spark: Fully comprehend the Apache Spark platform as well as the deployment methods that go with it.
• Data Structure in Spark: Know and understand how to construct and modify RDDs by using Spark Internals RDD as well as the Spark API and Scala methods.
• Ecosystem of Spark: Master MLlib, SparkSQL, Spark Streaming, Spark Context and GraphX, and also the RDD and other Combiners.

Skills you will Gain :

• Scala programming language is covered, as well as the procedure of installing Spark.
• Distributed Datasets with a High Degree of Resilience RDD
• Streaming features in SparkSQL
• Machine learning using Spark
• Programming using GraphX

Benefits of this course :

• Earn your certificate: This program is in-depth, and this credential demonstrates that you have mastered the area.
• High salaries: The need for Big Data experts such as Data Analysts, Data Scientists, Data Architects, and others is expanding in tandem with the growing amount of data. Companies like Amazon, Google, Facebook, Microsoft, and others pay their Big Data experts a lot of money to work on their consumer data.
• Every industry makes use of big data: Manufacturing, finance, communication, information technology (IT), logistics, retail, and autos are just a few of the fields in which you can work.
• Enhancement of abilities: Learning Big Data might be your finest investment, providing you with expertise that you will need not just in the field of big data, but also in your everyday life. Even if you don't want to pursue a job in Big Data, statistics and problem-solving abilities are valuable and extremely practical for you.
• It gives you a competitive advantage: Making data-driven judgments is one of Big Data's primary capabilities. The process of making judgments based on data analysis rather than intuition is known as data-driven decision-making.

Average Salary :

This course provides you with the potential to make a substantial amount of money by working in some of the most desirable locations. The following table shows the typical pay you might anticipate.

• Minimum Salary: $66,000 USD (Annually)
• Maximum Salary: $200,000 USD (Annually)

Future Scope :

As the number of datasets rises throughout the universe, the demand for Big data analytics is increasing. Data is expected to reach zettabytes by 2025, according to predictions. As a result, demand for Data Analysts, Data Architects, Data Engineers, and Data Scientists is expected to increase. In the future, data analysts will play a larger role.

So, whether you want to be a Big Data Engineer, Big Data Analyst, or Data Scientist, now is the time to enrol in one of the institutes listed on our website.

As previously said, the Big Data sector is likely to grow at an exponential rate globally, with no signs of slowing down in the long term.