1 / 11

An introduction about the Apache Spark Framework

Here we show you about apache spark. Apache Spark is a unified analytics engine for big data processing also you can, use it interactively from the Scala, Python, R, and SQL shells. Spark widely used across an organization.

aegiscanada
Download Presentation

An introduction about the Apache Spark Framework

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Apache Apache Spark Framework Framework Spark Introduction, Features, Components, Use Cases, Languages

  2. • For large data analysis, the industry is widely using Apache Spark. Hadoop enables flexible, scalable, cost-effective, and mistakes-tolerant computing solutions. • The industry requires a powerful engine that can respond less than a second and process memory. • Apart from this, it can stream the process information as well as the batch process. • According to investigate huge information, the industry uses Apache Spark extensively. Hadoop supports adaptive, versatile, financially savvy, and tolerant registration systems. • The business needs an attractive motor, which can respond in seconds, and handle in memory. This item found in the Apache Spark!

  3. What is Apache Spark? What is Apache Spark? • Apache Spark is a powerful open-source framework that offers interactive processing, real-time stream handling, batch handling, and in-memory handling at very fast speeds, with standard interface and ease of use. • It makes the difference between Spark vs. Hadoop. • Spark is known for providing more common and faster data processing platforms. It helps you run programs faster than 100 times faster in the memory, and 10 times faster on the disk. • The most important feature of the Apache Spark is its in-memory cluster computing, which is responsible for increasing the speed of data processing.

  4. Apache Spark Features: Apache Spark Features:

  5. Components of Apache Spark Components of Apache Spark Ecosystem: Ecosystem: Spark SQL & DataFrames Spark Core GraphX Spark Streaming MLlib

  6. Apache Spark Languages: Apache Spark Languages:

  7. Why should you learn Apache Spark? Why should you learn Apache Spark? Topmost Reasons to learn Apache Sparks:  Get more access to Big Data  Get benefits of existing big data investments  Growing Apache Spark Adoption  Make big money  Fulfill the demands for Apache Spark developers

  8. Fulfill the demands for Apache Spark developers Get more access to Big Data Apache Spark Use Cases Get benefits of existing big data investments Make big money Growing Apache Spark Adoption

  9. Apache Spark uses the case in various Apache Spark uses the case in various industries: industries: Finance Industry Healthcare Industry E-Commerce Industry Security Industry Game Industry Travel Industry

  10. 2 Robert Speck Parkway, Suite 750 Mississauga, ON Ontario - L4Z1H8 Canada info@aegissoftwares.com www.aegissoftwares.com

  11. THANK YOU

More Related