Table of Contents
Best Scala Courses 2023
Best Scala Tutorials 2023
Apache Spark and Scala Certification Training
Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This best scala classes would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination.
Designed to meet the industry benchmarks, Edureka’s Apache Spark and Scala certification is curated by top industry experts. This Apache Spark training is created to help you master Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, and Spark MLlib. This Apache Spark training is live, instructor-led & helps you master key Apache Spark concepts, with hands-on demonstrations. This Apache Spark course is fully immersive where you can learn and interact with the instructor and your peers. Enroll now in this best Scala training.
Functional Programming in Scala Specialization
This Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You’ll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you’ll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.
Apache Spark with Scala – Hands On with Big Data!
This course is very practical; you will spend most of your time following up with the instructor as we write, analyze, and run real code together – both on your own system and in the cloud using Amazon’s Elastic MapReduce service. over 8 hours of video content is included, with over 20 real life examples of increasing complexity that you can create, run, and study on your own. Explore them at your own pace, on your own schedule. The course ends with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.
You will learn:
Take a crash course in the Scala programming language
Quickly develop and run Spark jobs using Scala, IntelliJ, and SBT
Translate complex analysis problems into iterative or multi-step Spark scripts
Upgrade to Larger Data Sets Using Amazon’s Elastic MapReduce Service
Understand how Hadoop YARN distributes Spark across IT clusters
Practice using other Spark technologies, such as Spark SQL, DataFrames, DataSets, Spark Streaming, Machine Learning, and GraphX
Frame big data analytics issues as Apache Spark scripts
Develop distributed code using the Scala programming language
Optimizing Spark Jobs Through Partitioning, Caching, and Other Techniques
Create, deploy and run Spark scripts on Hadoop clusters
Process continuous streams of data with Spark Streaming
Transform structured data using SparkSQL, DataSets and DataFrames
Traverse and analyze graph structures using GraphX
Analyze a massive dataset with Machine Learning on Spark
Scala and Spark for Big Data and Machine Learning
Learn how to use some of the most valuable tech skills on the market today, Scala and Spark! In this course, we’ll show you how to use Scala and Spark to analyze big data. Scala and Spark are two of the most in-demand skills right now, and with this course you can learn them quickly and easily! This course comes with content:
Crash Course in Scala Programming
Presentation of the Spark and Big Data ecosystem
Using Spark’s MLlib for Machine Learning
Scale Spark Jobs Using Amazon Web Services
Learn how to use Databrick’s Big Data platform
This course comes with complete projects for you, including topics like Analyzing Financial Data or Using Machine Learning to Rank Ecommerce Customer Behavior! We teach the latest Spark 2.0 methodologies so you can learn how to use SparkSQL, Spark DataFrames, and Spark MLlib!
Use Scala for programming
Use Spark 2.0 DataFrames to read and manipulate data
Use Spark to process large data sets
Understand how to use Spark on AWS and DataBricks
Streaming Big Data with Spark Streaming & Scala – Hands On!
Spark Streaming is a new technology that is rapidly developing to process huge data sets as they are created – why wait for nightly scans to run when you can constantly update your analysis in real time, All the time? Whether it’s click-stream data from a large website, sensor data from a massive “Internet of Things” deployment, financial data, or something else – Spark Streaming is a powerful technology to transform and analyze this data as it is created, all the time. You will:
Take a crash course in the Scala programming language
See how Apache Spark works on a cluster
Configure discretized streams with Spark Streaming and transform them as data is received
Use structured streaming to broadcast in real-time dataframes
Analyze data continuously on sliding time windows
Keep stateful information in data flows
Connect Spark Streaming to highly scalable data sources including Kafka, Flume, and Kinesis
Flush real-time data streams to NoSQL databases such as Cassandra
Execute SQL queries on data broadcast in real time
Train real-time machine learning models with streaming data and use it to make predictions that improve over time
Package, deploy, and run stand-alone Spark Streaming code on a real Hadoop user using Amazon Elastic MapReduce.