Building a Big Data Analytics StackMP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 277 MBGenre: eLearning | Language: EnglishBuilding a Big Data ecosystem is hard.

There are a variety of technologies available and every one of them has its pros and cons.

When building a big data pipeline for software engineers, we need to use more low-level tools and APIs such as HBase and Apache Spark.

In this course, we’ll check out HBase, a database built by optimizing on the HDFS.

Moving on, we’ll have a bit of fun with Spark MLlib.

Finally, you’ll get an understanding of ETL and deploy a Hadoop project to the cloud.

Building Big Data Ecosystem is hard.

There are a variety of technologies available and every one of them has own pros and cons.

Software Engineers we need to use more low-level tools and APIs like HBase and Apache Spark while building big data pipeline.

By the end of the course, you’ll be able to use more high-level tools that have more user-friendly, declarative APIs such as Pig and Hive.