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Apache Sqoop Tutorial | Sqoop: Import & Export Data From MySQL To HDFS | Hadoop Training | Edureka

🔥 Edureka Hadoop Training: https://www.edureka.co/big-data-hadoop-training-certification
This Edureka video on Sqoop Tutorial will explain you the fundamentals of Apache Sqoop. It will also give you a brief idea on Sqoop Architecture. In the end, it will showcase a demo of data transfer between Mysql and Hadoop
Below topics are covered in this video:

1. Problems with RDBMS
2. Need for Apache Sqoop
3. Introduction to Sqoop
4. Apache Sqoop Architecture
5. Sqoop Commands
6. Demo to transfer data between Mysql and Hadoop

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--------------------Edureka Big Data Training and Certifications------------------------

🔵 Edureka Hadoop Training: http://bit.ly/2YBlw29
🔵 Edureka Spark Training: http://bit.ly/2PeHvc9
🔵 Edureka Kafka Training: http://bit.ly/34e7Riy
🔵 Edureka Cassandra Training: http://bit.ly/2E9AK54
🔵 Edureka Talend Training: http://bit.ly/2YzYIjg
🔵 Edureka Hadoop Administration Training: http://bit.ly/2YE8Nf9

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#BigDataAnalytics #BigDataApplications # UsecasesofBigData #BigDataHadoopCertificationTraining #BigDataMastersProgram #Hadoop Certification

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How does it work?

1. This is a 5 Week Instructor-led Online Course, 40 hours of assignment and 30 hours of project work

2. We have a 24x7 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

Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:

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?

If you belong to any of the following groups, knowledge of Big Data and

Hadoop is crucial for you if you want to progress in your career:

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 a 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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Opportunities for Hadoopers!

Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself!

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Customer Review:

Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favourite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”

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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12 октября 2018 г. 10:41:05
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