Who should learn Apache spark?

Apache Spark is a fascinating platform for data scientists with use cases spanning across investigative and operational analytics. Data scientists are exhibiting interest in working with Spark because of its ability to store data resident in memory that helps speed up machine learning workloads unlike Hadoop MapReduce.

What is Spark guru99?

Spark is a big data solution that has been proven to be easier and faster than Hadoop MapReduce. Spark is an open source software developed by UC Berkeley RAD lab in 2009. It allows high-speed access and data processing, reducing times from hours to minutes.

What can you do with Apache Spark?

Spark can help build such intrusion and anomaly detection tools with HBase as the general data store. You can spot another instance of this kind of tracking in inventory management systems. 11. Complex event processing Through this project]

How did you learn SPARK programming?

I learned Spark by doing a Link Prediction project. The problem of Link Prediction is given a graph, you need to predict which pair of nodes are most likely to be connected. If you have a social graph, then you can use this to recommend friends to users (like “People you may know” on Facebook)

What is Apache Spark and how is it different from Hadoop?

Apache Spark is another cluster computing framework like Hadoop which is used to analyze a huge dataset, but it’s much faster as compared to Hadoop which makes it ideal for today’s high computing needs like processing huge amounts of data.

Are there any free Udemy courses for big data and Apache Spark?

Since Big Data and Apache Spark is language agnostics, I have included courses for Java, Scala, and Python developers. They all are free now but no guarantee how long they will remain free as sometimes instructor converts their free Udemy courses into Paid one, particularly after they achieve their promotional targets.