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Apache Spark and Scala Rated 4.5/5 based on 628 customer reviews

Apache Spark and Scala Training in Austin-TX, United States

Master the concepts of the Apache Spark framework.

  • 24 hours of Instructor-led training
  • Basic to Advanced level
  • Learn by doing
Get Personalized Help for Free Enroll Now

Modes of Delivery

Key Features

24 hours of Instructor-led sessions on Apache Spark ecosystem
Immersive hands-on learning
Master the concepts of the Apache Spark framework
Learn about Apache Spark Core, Spark Internals, RDD, SparkSQL,etc
Learn to deploy Apache Spark methodologies using AWS cloud
Our Apache Spark experts will guide students in implementing the technology for future projects

Description

We are in the era of Big Data and Analytics; a technology that has radically transformed the way businesses think and operate. The ability to utilize the information locked in vast amounts of data has grown at a frenetic pace, and Hadoop has become an integral platform for handling, storing, evaluating and retrieving data for companies in a variety of applications. With the demand for big data analysts on the rise, a comprehensive Apache Spark and Scala training on this platform will ensure a rewarding career.

Apache Spark is a big data processing framework and its popularity lies in the fact that it is fast, easy to use and offers sophisticated solutions to data analysis. Its built-in modules for streaming, machine learning, SQL, and graph processing make it useful in diverse Industries like Banking, Insurance, Retail, Healthcare, and Manufacturing.

Zeolearn’s Apache Spark and Scala course is designed to help you become proficient in Apache Spark Development. You will learn about topics such as Apache Spark Core, Motivation for Apache Spark, Spark Internals, RDD, SparkSQL, Spark Streaming, MLlib, and GraphX that form key constituents of the Apache Spark course. With plenty of practice-sessions and exercises, you will master the framework by the end of this course. The course completion certificate will be issued on successful completion of the course and we provide coaching at a very reasonable cost. Register today at our academy and get the free study materials of Apache Spark and Scala.

Here’s what you will learn!

  • Master the concepts of the Apache Spark framework.
  • Understand the Spark Internals RDD and use of Spark’s API and Scala functions to create RDDs and transform RDDs.
  • Master the RDD Combiners, SparkSQL, Spark Context, Spark Streaming, MLlib, and GraphX.

Is this course right for you?

Data Engineer, Data Analysts, Software Professionals, Analytics Professionals, ETL Developers, Project Managers, and Students wanting to master Big Data and Apache Spark will benefit from this Apache Spark and Scala certification course.

Prerequisites

Hadoop Basics

Curriculum

  • Overview of Hadoop 
  • Architecture of  HDFS  & YARN
  • Overview of Spark version 2.2.0
  • Spark Architecture
  • Spark  Components 
  • Comparison of  Spark &  Hadoop
  • Installation of Spark v 2.2.0 on Linux 64 bit
  • Exploring the Spark shell 
  • Creating Spark Context
  • Operations on Resilient Distributed Dataset – RDD
  • Transformations & Actions 
  • Loading Data and Saving Data
  • Introduction to SQL  Operations
  • SQL Context
  • Data Frame
  • Working with Hive
  • Loading Partitioned Tables
  • Processing  CSV, Json ,Parquet files
  • Introduction to Scala
  • Feature of Scala
  • Scala vs Java Comparison
  • Data types
  • Data Structure
  • Arrays
  • Literals
  • Logical Operators
  • Mutable & Immutable variables
  • Type interface
  • Oops  vs Functions
  • Anonymous 
  • Recursive 
  • Call-by-name
  • Currying
  • Conditional statement
  • List
  • Map
  • Sets
  • Options
  • Tuples
  • Mutable collection
  • Immutable collection
  • Iterating
  • Filtering and counting 
  • Group By
  • Flat Map
  • Word count
  • File Access
  • Classes ,Objects & Properties
  • Inheritance
  • Maven  build tool implementation
  • Build Libraries
  • Create  Jar files 
  • Spark-Submit

  • Overview  of Spark Streaming
  • Architecture of Spark Streaming 
  • File streaming
  • Twitter Streaming
  • Overview  of Kafka Streaming
  • Architecture of Kafka Streaming 
  • Kafka Installation
  • Topic
  • Producer
  • Consumer
  • File streaming
  • Twitter Streaming
  • Overview  of Machine Learning Algorithm
  • Linear Regression
  • Logistic Regression
  • GraphX overview
  • Vertices
  • Edges
  • Triplets
  • Page Rank
  • Pregel
  • On-Off-heap memory tuning
  • Kryo Serialization
  • Broadcast Variable
  • Accumulator Variable
  • DAG Scheduler
  • Data Locality
  • Check Pointing
  • Speculative Execution
  • Garbage Collection
  • Master – Driver Node capacity
  • Slave –   Worker Node capacity
  • Executor capacity
  • Executor core capacity
  • Project scenario and execution
  • Out-of-memory error handling
  • Master logs, Worker logs, Driver  logs
  • Monitoring Web UI 
  • Heap memory dump

Frequently Asked Questions

Big Data analysis is among the most lucrative and satisfying career options due to the sheer amount of money and resources that companies around the world are investing in it. Spark is a data analytics tool that is a very useful skill for Hadoop developers. To excel in your career as a big data developer, knowledge of Apache Spark will prove to be an invaluable asset. 

After completing our course, you will become proficient in Apache Spark Development.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will work on a project based on AWS Cloud & Apache Spark. This project will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

Knowledge of Big Data and Hadoop will be an advantage. No prior experience in Apache Spark is required.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You can attend our instructor-led live online classes from the convenience of your home or office, by logging into the virtual classroom on schedule. Classes are conducted via online live streaming, and the recordings will be made available for you a day later.

Please ensure you have:

Internet Speed: Minimum 1.0 Mbps connection, with uninterrupted availability OS: Windows any version above XP SP3, or Mac any version above OS X 10.6

500 MHz processor, 256 MB Ram, 3 GB HDD (minimum)

Headset: A good headset with a mike. You will be responding to the instructor’s questions as well as listening to the lectures.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

On successful completion of the training, you will get a Zeolearn Course completion certificate. You will be required to work on a project, and will receive detailed project specifications to create an android application. Your project will be reviewed by an expert and if deemed satisfactory, you will be awarded a certificate that grades your performance. In case your project is found unsatisfactory in your first attempt, you can take some extra help and rework on it at no extra cost.

No, you will not be required to refer to textbooks. The training is hands-on and all the course material and class recordings will be available on your dashboard. You will learn by working on a project. You will be supported by your mentor and can clarify doubts at any point of time. At the end of the course, you will have a fully developed Android app that is ready for the market.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

We always make sure that all our students are extremely satisfied with the training. However, if you find that it’s not working for you, you can discontinue within the first week of training and avail of a refund.

Please visit our Refunds page for more details.

Please send in an email to help@zeolearn.com, or contact us through any of the numbers at this link: http://www.zeolearn.com/contact-us

We will respond to your queries within 24 hours.

Apache Spark and Scala Course in Austin-TX

Austinin Texas, is not only home to the University of Texas but is also a cultural hub with eclectic live music. Hiking, biking, swimming, boating and Formula One racing are the main attractions there.  

About the course in the city  

Big data analytics, the recent entry into the fast-changing world of technology, has transformed the way organisations look at data. With the vast data resourcethe fundamental platform to store, handle, evaluate and retrieve information for businesses is HadoopApache Spark is one such big data processing framework. 

Apache Spark aptly delves into the new world of big data, and the Spark and Scala course in Austin offered by the Zeolearn institute explores just this. Zeolearn academy’s Spark and Scala certification in Austin facilitates individuals interested in the latest trends in big data analytics. By registering for the Apache Spark and Scala online course in Austin, one can update their skill set from the comfort of their homes. This online programme will be conducted in live interactive sessions by expert trainers. 

Diverse industries like banking, insurance, retail, healthcare and manufacturing require experts in extensive data analytics and use a processing framework in big data that is quick, hassle-free and offers refined solutions to data analysis. The Apache Spark and Scala Course in Austin achieves exactly this. This course will equip you to grasp the basics of the big data processing framework, Apache Spark. 

RDD, MLlib, GraphX, SparkSQL, Spark Internals, Spark Streaming, Apache Spark Core and Motivation for Apache Spark are the key components of the Apache Spark and Scala certification course in Austin. The Apache Spark and Scala online course in Austin will also teach you to identify the importance and application of data analytics. In the Apache Spark and Scala training in Austin, as an addition to the live online lectures, this course will cover fixed assignments to strengthen your basics. For clearing doubts, help from a skilled tutor is always available. You can first opt for a demo session, and if you are not pleased with the coaching methods, Zeolearn will reimburse your entire course fee. 

Here’s what you will learn!

Our Apache Spark and Scala training course in Austin offers 

  • Apache Spark framework concepts and material 
  • Identifying the Spark Internal RDDs 
  • Knowledge about tools used in the framework 

 Objective of the Spark and Scala certification in Austin 

  • Gaining conceptual knowledge about Apache Spark framework 
  • Use the AWS cloud as one of the deployment methodologies  
  • Application of Spark’s Scala and API functions in creating and transforming RDDs 
  • Appropriate use of MLlibGraphXRDD Combiners, Spark Context, SparkSQL and Spark Streaming. 

 Highlights of the Spark and Scala online training in Austin: 

  • Live online training sessions led by experienced instructors 
  • Opportunity to learn from industry experts 
  • Design and develop a mini project 
  • Register and learn from the comforts of your home 
  • 40 hours of immersive, hands-on training and practice sessions 

Is this course right for you?

Data engineers, data analysts, analytics and software professionals, project managers and ETL Developers looking to explore the field of Big Data are perfect candidates for the Apache Spark and Scala certification course in Austin. 

Prerequisites

Knowledge about Big Data as well as Hadoop will enable you to fully utilise the Apache Spark and Scala training in Austin. To take your career places and enhance it, enrol in this workshop. 

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