Real-Time Spark Project |Real-Time Data Analysis|Architecture|Part 1| DM | DataMaking | Data Making

Hi Friends, Good morning/evening. Do you need a FREE Apache Spark and Hadoop VM for practice? You can sign up for free and get/download it directly from here: Happy Learning! ================================================================================ Real-Time Apache Spark Project | Real-Time Data Analysis | End to End - ==================================================================== ==================================================================== Create First PySpark App on Apache Spark using PyCharm | PySpark 101 |Part 1| DM | DataMaking - End to End Project using Spark/Hadoop | Code Walkthrough | Architecture | Part 1 | DM | DataMaking - Spark Structured Streaming with Kafka using PySpark | Use Case 2 |Hands-On|Data Making|DM|DataMaking - Running First PySpark Application in PyCharm IDE with Apache Spark | DM | DataMaking - Access Facebook API using Python in English | Hands-On | Part 3 | DM | DataMaking - Real-Time Spark Project |Real-Time Data Analysis|Architecture|Part 1| DM | DataMaking | Data Making - Web Scraping using Python and Selenium | Scrape Facebook | Part 5 | Data Making | DM | DataMaking - End to End Project using Spark/Hadoop | Code Walkthrough | Kafka Producer | Part 2 | DM | DataMaking - Apache Zeppelin | Step-by-Step Installation Guide | Python | Notebook |DM| DataMaking | Data Making - Create First RDD(Resilient Distributed Dataset) in PySpark | PySpark 101 | Part 2 | DM | DataMaking - ==================================================================== ==================================================================== Spark Project on Cloudera Hadoop(CDH) and GCP for Beginners Course link: Some of the key points, 1. Compelete step-by-step procedure to build Cloudera Hadoop(CDH 6.3) Cluster like how you work in real-time spark project development 2. Build Cloudera Hadoop(CDH 6.3) on Google Cloud Platform(GCP) for FREE(using Free Trial Account) 3. Setting up IDE like IntelliJ for Spark with Scala and PyCharm for PySpark 4. Building Real-Time Data Processing Pipeline using Spark Structured Streaming using both Spark with Scala and PySpark 5. Apache Kafka integration with Spark Structured Streaming using both Spark with Scala and PySpark 6. Apache Cassandra and MongoDB NoSQL integration with Spark Structured Streaming using both Spark with Scala and PySpark 7. 11 hours of course duration with 46 lectures 8. Apache NiFi for Retail Data Simulator 9. End-to-End project development with source code 10. Solid introduction to technologies which are used in this project Please watch the complete video series of this project, to explore more details on this project. Real-Time Apache Spark Project | Real-Time Data Analysis | End to End: A complete project guide with source code for the below project video series: Apache Spark Project | Meetup RSVP Stream Processing | Real-World Project: Apache Spark, Hadoop Project with Kafka and Python, End to End Development | Code Walk-through -