About Apache Spark with Scala Online Training Course
ACTE'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.
Benefits
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.
Apache Spark with Scala Big data, Spark with Scala/Python falls in the data engineering category. It is increasing nowadays as most of the business of top companies are getting generated from Data Analytics projects. Accenture said its 60% business is from Data Analytics, TCS also got 2.5 billion dollar deal in Data Analytics only.
Well, Apache Spark is a general-purpose & lightning fast cluster computing system (a Framework) whereas Scala is a high-level programming language in which Spark is written.
Apache Spark and Scala is the one of the most active projects of Apache and its future scope will be long lasting. Using Apache Spark, we achieve a high data processing speed of about 100x faster in memory and 10x faster on the disk. This is made possible by reducing the number of read-write to disk.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs.
Apache Spark is written in Scala and because of its scalability on JVM - Scala programming is most prominently used programming language, by big data developers for working on Spark projects. ... Also, the performance achieved using Scala is better than many other traditional data analysis tools like R or Python.
Means to learn Spark framework, you must have minimum knowledge in Scala. It's a new programming language, but it's very powerful. If you know any programming language like C, C++, core java, php, python, or any other language , you can easily learn Scala language.
No learning Scala to learn and work with Spark is not necessary. ... Scala being a functional language can be very easy to understand especially if you come from C or other languages. it runs on JVM. Since Spark is written in Scala you will/might have a few performance benefits if you write your programs in Scala.
Apache Spark and Scala is considered a 'general-purpose' language that makes use of the functional and object-oriented paradigms. Even though Scala is a great language to use in these categories, if you don't understand why you need Scala (regardless if it's 2020 or 2030), you most likely shouldn't be learning it yet.
Go to Spark Home Directory. Login to Linux and open terminal. To run Spark Scala application we will be using Ubuntu Linux. Copy the jar file to create one text file, which we will use as input for Spark Scala wordcount job.
Learning Spark is not difficult if you have a basic understanding of Python or any programming language, as Spark provides APIs in Java, Python, and Scala. You can take up this Spark Training to learn Spark from industry experts.
Reasons to Select a Career in Big Data
- Hadoop Compatible
- High on Versatility, High on Demand
- Salaries Going Through the Roof
- Diminishing Appeal of Hadoop
- Quick Coding, Low Latency
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