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 Course Curriculum
An overview of Apache Hadoop
Installing Spark on your machines
Development tool installation
Databricks
Basic Scala
Classes
Class Composition with Mixins
Currying
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
This "Spark using Scala" course is an instructor-led training (ILT). The trainer travels to your office location and delivers the training within your office premises. If you need training space for the training we can provide a fully-equipped lab with all the required facilities. The online instructor-led training is also available if required. Online training is live and the instructor's screen will be visible and voice will be audible. Participants screen will also be visible and participants can ask queries during the live session.
Participants will be provided "Spark using Scala"-specific study material. Participants will have lifetime access to all the code and resources needed for this "Spark using Scala". Our public GitHub repository and the study material will also be shared with the participants.
All the courses from zekeLabs are hands-on courses. The code/document used in the class will be provided to the participants. Cloud-lab and Virtual Machines are provided to every participant during the "Spark using Scala" training.
The "Spark using Scala" training varies several factors. Including the prior knowledge of the team on the subject, the objective of the team learning from the program, customization in the course is needed among others. Contact us to know more about "Spark using Scala" course duration.
The "Spark using Scala" training is organised at the client's premises. We have delivered and continue to deliver "Spark using Scala" training in India, USA, Singapore, Hong Kong, and Indonesia. We also have state-of-art training facilities based on client requirement.
Our Subject matter experts (SMEs) have more than ten years of industry experience. This ensures that the learning program is a 360-degree holistic knowledge and learning experience. The course program has been designed in close collaboration with the experts working in esteemed organizations such as Google, Microsoft, Amazon, and similar others.
Yes, absolutely. For every training, we conduct a technical call with our Subject Matter Expert (SME) and the technical lead of the team that undergoes training. The course is tailored based on the current expertise of the participants, objectives of the team undergoing the training program and short term and long term objectives of the organisation.
Drop a mail to us at [email protected] or call us at +91 8041690175 and we will get back to you at the earliest for your queries on "Spark using Scala" course.
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