Apache Spark, Spark sql & Streaming basic to advance level

Iam Big Data Solution Designer in ITindustry from last few years. Iam adding all my learning and experience in this video series. So that you can understand working of Spark eco-system, work like a professional big data engineer and get a good job. Updated course with latest versionBenefits of this course: Enroll into this course and get end to end knowledge of Apache Spark +Spark-SQL + Spark Streaming + Spark with Hive + Real World Use cases + Designing of Big Data project with Spark eco-system & Interview asked Use cases. This course is very rare of its kind and includes even very thin details of Spark which are not available anywhere online. In this course you will get to understand a step by step learning of very Basic Spark to Advance Spark (which is actually used in Real-time projects) like with latest Spark version 3.xSpark Setup, All file formats, Hive Optimization Concepts like Partition, Bucketing, Joins, Spark Code Review like Experts: all demo / interactive sessionsSpark Google cloud account setup for hands-on over all conceptsSpark SQLClauses: Distribute by, order by, clustered by, sort byScala basics CodingEclipse Coding Application with Java 8 as Maven Project and Spark APIWindow functions like rank, row number, dense rank: all demo / interactive sessionsRDD, Dataset & DataFrame APIDifferent ways to create / insert data in Hadoop or Hive tableSpark Job Configuration OptimizationSpark Application DAG analysis and debugging using spark UISpark Streaming & Structured Streaming with Coding in JavaPerformance Technique that big companies use to query fast on data. This course is a full package explaining even rarely used commands and concepts in Spark. After completing this course you won’t find any topic left in Spark. This course is made keeping in mind the Real Implementation of Spark in Live Projects. Additionally, You can download the Step Step Installation Guide (doc) to Install Scala and Apache Spark