What is Apache Hive | Hive in Hadoop Tutorial for Beginners | Hive Training | Edureka

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? Edureka Hadoop Training:
This Hive tutorial gives in-depth knowledge on Apache Hive. Hive is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems.

??About the Speaker??
Name: Mr. Ajay Mall
Details:
1. Principal Architect & Consultant at Market Pulse
2. Ex – Cognizant, Ex – Cisco, – Ex – Mphasis, Ex – HCL
3. The overall experience of 14+ years in the industry
4. An Alumnus of IIT-Kharagpur

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How it Works?

1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About the Course

1. Master the concepts of HDFS and MapReduce framework
2. Understand Hadoop 2.x Architecture
3. Setup Hadoop Cluster and write Complex MapReduce programs
4. Learn data loading techniques using Sqoop and Flume
5. Perform data analytics using Pig, Hive and YARN
6. Implement HBase and MapReduce integration
7. Implement Advanced Usage and Indexing
8. Schedule jobs using Oozie
9. Implement best practices for Hadoop development
10. Work on a real life Project on Big Data Analytics
11. Understand Spark and its Ecosystem
12. Learn how to work in RDD in Spark

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Who should go for this course?

1. Analytics professionals
2. BI /ETL/DW professionals
3. Project managers
4. Testing professionals
5. Mainframe professionals
6. Software developers and architects
7. Recent graduates passionate about building successful career in Big Data

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Why Learn Hadoop?

Big Data! A Worldwide Problem?

According to Wikipedia, “Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.”

The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is – Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.

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For more information, Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).

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