h264, yuv420p, 1280x720|ENGLISH, aac, 44100 Hz, stereo, s16 | 10h 53 mn | 4.45 GB Created by: PARI MARGU Building Data Processing Pipeline Using Apache NiFi, Apache Kafka, Apache Spark, Cassandra, MongoDB, Hive and Zeppelin What you'll learn Complete Spark Project Development on Cloudera Hadoop and Spark Cluster Fundamentals of Google Cloud Platform(GCP) Setting up Cloudera Hadoop and Spark Cluster(CDH 6.3) on GCP Features of Spark Structured Streaming using Spark with Scala Features of Spark Structured Streaming using Spark with Python(PySpark) Fundamentals of Apache NiFi Fundamentals of Apache Kafka How to use NoSQL like MongoDB and Cassandra with Spark Structured Streaming How to build Data Visualisation using Python Fundamentals of Apache Hive and how to integrate with Apache Spark Features of Apache Zeppelin Fundamentals of Docker and Containerisation Requirements Basic understanding of Programming Language Basic understanding of Apache Hadoop Basic understanding of Apache Spark No worry, even solid Apache Hadoop and Apache Spark basics are covered for the benefit of absolute beginners Most important one, which is willingness to learn Description In retail business, retail stores and eCommerce websites generates large amount of data in real-time. There is always a need to process these data in real-time and generate insights which will be used by the business people and they make business decision to increase the sales in the retail market and provide better customer experience. Since the data is huge and coming in real-time, we need to choose the right architecture with scalable storage and computation frameworks/technologies. Hence we want to build the Data Processing Pipeline Using Apache NiFi, Apache Kafka, Apache Spark, Apache Cassandra, MongoDB, Apache Hive and Apache Zeppelin to generate insights out of this data. The Spark Project is built using Apache Spark with Scala and PySpark on Cloudera Hadoop(CDH 6.3) Cluster which is on top of Google Cloud Platform(GCP). Who this course is for: Beginners who want to learn Apache Spark/Big Data Project Development Process and Architecture Entry/Intermediate level Data Engineers and Data Scientist Data Engineering and Data Science Aspirants Data Enthusiast who want to learn, how to develop and run Spark Application on CDH Cluster Anyone who is really willingness to become Big Data/Spark Developer
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