Spark in Data Science Institutes in Bangalore

Spark – What is it and what are its benefits

Apache Spark, an open-source processing system, is used extensively in the field of data analytics and data science. Data science is the field that involves dealing with big data, as it provides application programming interfaces for various programming languages like Python, R, Java, Scala and more. Big Data is referred to as data having 5 Vs as its character – velocity, volume, variety, veracity and value.

Earn yourself a promising career in data science by enrolling in the Masters in data science course offered by 360DigiTMG.

In this system, the programming codes can be reused for different types of work management projects involving real-time analytics, query, graph & batch processing, machine learning, deep learning, AI and more. The distribution processing system of Spark is used for optimizing different workloads that are run parallelly; therefore, it is known for providing the following benefits to the users:

Also, check this best data science course in Hyderabad with placement to start a career in Data Science.

• Running queries across large volumes of data quickly, thereby saving you a great deal of time and effort
• It provides multiple language support, as it can be used as application programming interfaces in many programming languages; therefore, developers can make use of minimal codes and make the processing look simpler than it looks
• Though Spark is a single app, it can be used to run multiple workloads simultaneously, which saves a lot of time for developers.

Can you learn Spark easily?

Spark, used for real-time projects and applications, is one of the most popular computing frameworks today, because it is super fast, and makes multiple workload management look easier than it is. 360digiTMG in Bangalore includes Spark as one of the “tools covered” in all its data science training courses because it is the market leader today in the field of big data applications. When compared to other programming frameworks like Hadoop, Spark’s memory is 100 times faster, which makes it easy to run different apps at once. 

Looking forward to becoming a Data Scientist? Check out the best data science institute in chennai with placement and get certified today.

If you are in the field of data science, and want to hone your talent ins special skills, you may wonder if you can learn Spark easily. Yes, you can definitely learn Spark easily, provided you know the basic concepts of Python or any other programming language.

Spark Training Courses in Bangalore

Many training institutes offer online and offline training courses on Spark to interested people working in the data science field. The duration of the course and the topics covered are almost the same across all the institutes here. The major differences may be noticed in services like customer support, job placement assistance and more.

• Training Class Details

Mostly, all training institutes in Bangalore offer 60 hours of classroom and online sessions for Spark. Some also offer the first demo class free of cost, and then decide the cost structure depending on the reception from the students. Every topic covered includes a practical session, and students are given enough assignments on these chapters to help them understand the concepts better than before.

• Topics Covered

The topics covered in Spark Courses offered by training institutes in Bangalore include the following:

• Spark Batch Processing API
• Spark Streaming API
• Spark Architecture
• Spark SQL
• Integration with Hadoop Distributed File System
• Spark Installation
• Apache Spark & Oozie
• Scala Programming
• Ecommerce Log Analytics

All the training courses that focus on Big Data are also good options to learn more about the Spark tool. For example, some training institutes offer the Big Data Course in the following way:

• Course name – Big Data

Course duration – 60 hours of sessions led by instructors

Topics Covered-

• Fundamentals of Hadoop & Yarn and using them to write apps
• HDFS, MapReduce and other related frameworks
• Spark Basics, Spark SQL, Spark Streaming, Data Frame, MLlib, Streaming, GraphX and other workloads in Spark
• Understanding Avro Data Formats
• Practicing Hadoop and Apache Spark together for real-time projects

If you are looking to learn one of the data science programming frameworks that can be used across all programming languages, it would be a good idea to choose Spark over Hadoop, because of many factors like the following:

• While the speed of computing in the Hadoop framework is slightly faster than the traditional data science systems, Spark offers superfast in-memory apps that are at least 100 times faster than Hadoop.
• In the Hadoop Distribution File System, different engines have to perform different tasks one at a time, whereas in Spark, multiple workloads can be carried out simultaneously, as they all fall under the same cluster.
• In your day-to-day job as a data scientist, you will deal with live data and real-world analytics. So, you need Spark that enables live data streaming functionality to train for the same. Hadoop, though effective, gives you batch processing functionality only, so you don’t get to work with live data here.

Why integration with HDFS is necessary?

One of the main topics in Spark training courses in Bangalore is integration with HDFS. Spark was mainly introduced to overcome the shortcomings of Hadoop. So, when you use both distribution processing systems together, you can get the best of cluster computing activities done. When you merge batch processing with real-time processing, you can work on large volumes of data quickly and effectively. 

Become a Data Science and AI expert with a single program. Go through 360DigiTMG’s PG Diploma in best data science course with placement in Pune Enroll today!