Spark Tutorial For Absolute Beginners | Big Data Spark Tutorial | Apache Spark Tutorial | UpDegree

This Spark Tutorial For Beginner will Cover this topic:

1. where apache spark is used?
2. how apache spark works?
3. what is apache spark vs Hadoop? 4.how apache-spark works?
4. how apache spark works internally?
5. how is apache spark used?
6. why apache spark is used?
7. why apache spark is faster than Hadoop?
8. why apache-spark?
9. apache spark architecture 11.what is apache-spark
10. History of Spark
11. Spark Advantages
12. Spark vs. Hadoop

Like Us on Facebook: https://www.facebook.com/Updegree-356829021753867/

#bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial

What is Apache Spark? Apache Spark is a fast, in-memory data processing engine with elegant and expressive development APIs to allow data workers to efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets. With Spark running on Apache Hadoop YARN, developers everywhere can now create applications to exploit Spark’s power, derive insights, and enrich their data science workloads within a single, shared dataset in Hadoop.

The Hadoop YARN-based architecture provides the foundation that enables Spark and other applications to share a common cluster and dataset while ensuring consistent levels of service and response. Spark is now one of many data access engines that work with YARN in HDP

Why spark is Important? Apache Spark Improves Business in Big Data Industry The primary importance of Apache Spark in the Big data industry is because of its in-memory data processing that makes it high-speed data processing engine compare to MapReduce. It is an ideal tool for companies that focus on Internet of Things.

Where apache spark is used? Spark can also be deployed in a cluster node on Hadoop YARN as well as Apache Mesos. Apache Spark is a powerful open-source framework that provides interactive processing, real-time stream processing, batch processing, and in-memory processing at very fast speeds, standard interface, and ease of use

We are going to launch a spark big data course...

Apache Spark is Helpful:

1. Software Developers and Architects
2. Analytics Professionals
3. Senior IT professionals
4. Testing and Mainframe professionals
5. Data Management Professionals
6. Business Intelligence Professionals
7. Project Managers
8. Aspiring Data Scientists ... https://www.youtube.com/watch?v=GPbzs6TL8gY