Mastering Big Data: Spark, Scala, Kafka, Hadoop,Hive & More

Posted By: Sigha

Mastering Big Data: Spark, Scala, Kafka, Hadoop,Hive & More
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 28.04 GB | Duration: 33h 40m

Complete Hands-On Developer Guide to Modern Big Data Tools like Hadoop, Hive, Spark, Scala, Kafka, NIFI, HBase and more

What you'll 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

Description
Big Data Developers are in high demand and it's only going to increase as data grows. However, mastering the skills needed to become a Big Data Engineer can be overwhelming. That's why we created "The Big Data Developer Course" with the help of industry experts. Our course provides an end-to-end implementation of the most in-demand Big Data skills, including Hadoop, Spark, Kafka, Cassandra, and more. With 33 hours of hands-on training, you'll start with the basics and work your way up to production-level deployment, troubleshooting, and performance improvement. We cover everything from local development to integrating with complex data sources, such as NOSQL databases, and even streaming data. Our team is available to address any questions you have, and our video tutorials are all explained with examples. By the end of this course, you'll be a Big Data expert, ready to take on any job in the industry. Don't miss this opportunity to join the world of Big Data!Here is a short description of what you will be learning in this course:Understand the world of Big Data. What is Big data and why it is importantUnderstand and learn the concepts behind Hadoop. Understand its architectureInstall the software and start writing codeLearn important Hadoop CommandsLearn the file formats and understand when to use each of the file formatsDive deep into Sqoop- a tool used for transferring data between RDBMS and HDFSDive deep into Hive- a tool used for querying the data on HDFSLearn Scala -  a top programming languageDive deep into Spark which is very hot in the marketLearn NOSQL Databases - Cassandra and HBase and integrate them with SparkWork with Complex data and process them effectivelyMake your code production ready and deploy them onto the clusterLearn Apache NIFI- a powerful and scalable open source tool for data routingWork with Streaming dataLearn Kafka and integrate it with SparkLearn troubleshooting techniques and performance improvement tipsThis is complete end-to-end implementation course and we are very proud to bring this course to you. Enroll now and join the world of Big Data !Update:We have added interview Preparation videos for Hadoop, Sqoop , Hive, Scala

Who this course is for:
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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