Mastering Big Data: Spark, Scala, Kafka, Hadoop,Hive & More
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Mastering Big Data: Spark, Scala, Kafka, Hadoop,Hive & More
$64.99 Original price was: $64.99.$14.00Current price is: $14.00.
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Mastering Big Data: Spark, Scala, Kafka, Hadoop,Hive & More
★★★★★
$64.99
in stock
Udemy.com
as of June 8, 2025 4:58 pm
Complete Hands-On Developer Guide to Modern Big Data Tools like Hadoop, Hive, Spark, Scala, Kafka, NIFI, HBase and more

Created by:
Deesa Technologies
Online Training
Online Training
Rating:4.37 (128reviews)
947students enrolled
What Will I Learn?
- Understand the architecture of Hadoop
- Understand file formats and the ability to choose the right format for a given use case
- Develop applications on local system and then deploy them into production
- Parameterize the code and make it production ready
- Import data from mysql database into sqoop. Export data from hdfs to mysql. Get a deep understanding of sqoop
- Query and analyze the data effectively using Hive. Get a strong understanding of hive
- Learn Scala - one of the top programming languages
- Learn basic, intermediate and Advance concepts of Spark which is very hot in the market
- Work with complex data and learn how to process them effectively
- Learn Cassandra and integrate it with Spark
- Learn HBase and integrate it with Spark
- Learn Apache NIFI
- Work with Spark Streaming - Learn about Kafka and how it integrates with Spark
- Get a good understanding of end to end big data pipeline
Requirements
- You should have good internet connectivity. Should have 6 GB of free RAM. This course will work with 4GB of free RAM but the applications may run slow. So recommend to have atleast 6GB of Free RAM. SSD Hard disk will increase the speed. If possible(not mandatory) have SSD hard disk instead of HDD
- A basic familiarity with the Linux commands will be helpful
Target audience
- Beginners who are completely new to Big Data world
- Software Engineers who want to shift to Big Data or upgrade their Big Data skills
- Managers , Data Analytics who want to understand the end to end big data pipeline
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