Spark using Scala-training-in-bangalore-by-zekelabs

Spark using Scala Training

Spark using Scala Course: Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Python collections. Through hands-on examples in Spark and Python, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.
Spark using Scala-training-in-bangalore-by-zekelabs
Spark using Scala-training-in-bangalore-by-zekelabs
Industry Level Projects
Spark using Scala-training-in-bangalore-by-zekelabs

Spark using Scala Course Curriculum

An overview of Apache Hadoop
Installing Spark on your machines
Development tool installation
Basic Scala
Class Composition with Mixins
Pattern Matching
Pattern Matching
For Comprehensions
Inner Classes
Compound Types
Polymorphic Methods
Functional programming with Spark
Spark RDD is immutable
Spark RDD lives in memory
Data transformations and actions with RDDs
The basics of programming with Spark
More actions
Understanding the Spark library stack
Understanding the structure of data
Anatomy of Spark SQL
Programming with SQL
Understanding Aggregations in Spark SQL
Introducing datasets
Data stream processing
A log event processor
Organizing files
Monitoring running applications
Compiling and running the application
Implementing the application in Python
More processing options
Starting Zookeeper and Kafka
Implementing the application in Python
Implementing fault-tolerance in Spark Streaming data processing applications
Understanding machine learning
Wine quality prediction
Wine classification
Feature algorithms
Understanding graphs and their usage
GraphX overview
Graph processing
Tennis tournament analysis
Connected component algorithm
Understanding GraphFrames queries
Lambda Architecture
An overview of SfbMicroBlog
Setting the data dictionary
Batch layer
Speed layer
Analysis of US Crime data
Predicting income from adult information dataset

Frequently Asked Questions

We have options for classroom-based as well as instructor led live online training. The online training is live and the instructors screen will be visible and voice will be audible. Your screen will also be visible and you can ask queries during the live session.

The training on "Spark using Scala" course is a hands-on training. All the code and exercises will be done in the live sessions. Our batch sizes are generally small so that personalized attention can be given to each and every learner.

We will provide course-specific study material as the course progresses. You will have lifetime access to all the code and basic settings needed for this "Spark using Scala" through our GitHub account and the study material that we share with you. You can use that for quick reference

Feel free to drop a mail to us at [email protected] and we will get back to you at the earliest for your queries on "Spark using Scala" course.

We have tie-ups with a number of hiring partners and and placement assistance companies to whom we connect our learners. Each "Spark using Scala" course ends with career consulting and guidance on interview preparation.

Minimum 2-3 projects of industry standards on "Spark using Scala" will be provided.

Yes, we provide course completion certificate to all students. Each "Spark using Scala" training ends with training and project completion certificate.

You can pay by card (debit/credit), cash, cheque and net-banking. You can also pay in easy installments. You can reach out to us for more information.

We take pride in providing post-training career consulting for "Spark using Scala".

Recommended Courses

Spark using Scala-training-in-bangalore-by-zekelabs
Apache Spark Debugging & Performance Tuning
  More Info  
Spark using Scala-training-in-bangalore-by-zekelabs
  More Info  
Spark using Scala-training-in-bangalore-by-zekelabs
Big Data Processing with Spark 2.0
  More Info