A Big Data Hadoop and Spark project for outright fledglings free download paid course from google drive.Hadoop, Spark, Python, PySpark, Scala, Hive, coding system, testing, IntelliJ, Maven, PyCharm, Glue, AWS, Streaming in this total course.
What you’ll learn
- Big Data, Hadoop, and Spark from scratch by solving a real-world use case using Python and Scala
- Spark Scala & PySpark real-world coding framework.
- Real-world coding best practices, logging, error handling, configuration management using both Scala and Python.
- Serverless big data solution using AWS Glue, Athena and S3
- Big Data, Hadoop concepts
- How to create a free Hadoop and Spark cluster using Google Dataproc
- Hadoop hands-on – HDFS, Hive
- Python basics
- PySpark RDD – hands-on
- PySpark SQL, DataFrame – hands-on
- Project work using PySpark and Hive
- Scala basics
- Spark Scala DataFrame
- Project work using Spark Scala
- Spark Scala Real world coding framework and development using Winutil, Maven and IntelliJ.
- Python Spark Hadoop Hive coding framework and development using PyCharm
- Building a data pipeline using Hive , PostgreSQL, Spark
- Logging , error handling and unit testing of PySpark and Spark Scala applications
- Spark Scala Structured Streaming
- Applying spark transformation on data stored in AWS S3 using Glue and viewing data using Athena
Requirements
- Students should have some programming background and some knowledge of SQL queries.
Who this course is for:
- Beginners who want to learn Big Data or experienced people who want to transition to a Big Data role
- Big data beginners who want to learn how to code in the real world
Description
Begin with Big Data rapidly utilizing free cloud group and addressing a certifiable use case! Learn Hadoop, Hive, Spark (both Python and Scala) without any preparation!
Figure out how to code Spark Scala and PySpark like a genuine designer. See genuine coding best works on, logging, blunder dealing with, arrangement the executives utilizing both Scala and Python.
Project
A bank is sending off another Visa and needs to recognize possibilities it can focus in its advertising effort.
It has gotten prospect information from different interior and outsider sources. The information has different issues like absent or obscure qualities in specific fields. The information should be purified before any sort of investigation should be possible.
Since the information is in immense volume with billions of records, the bank has requested that you utilize Big Data Hadoop and Spark innovation to scrub, change and examine this data
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