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Professional Course

Performing Data Engineering on Microsoft HD Insight - MOC On Demand (MS-20775)

QuickStart, Online
Length
3 days
Price
550 USD
Next course start
Start anytime! See details
Delivery
Self-paced Online
Length
3 days
Price
550 USD
Next course start
Start anytime! See details
Delivery
Self-paced Online
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Course description

Performing Data Engineering on Microsoft HD Insight - MOC On Demand (MS-20775)

About this course:

Microsoft Azure HDInsight provides a pay-as-you-go solution for Hadoop-based big data batch processing that is cost-effective because you do not need to commit to installing and configuring on-premises infrastructure. The main purpose of the course is to give students the ability plan and implement big data workflows on HDInsight. This course also helps the students in the preparation for .

The average salary for Data Engineer is $84,143 per year.

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Upcoming start dates

1 start date available

Start anytime!

  • Self-paced Online
  • Online

Who should attend?

Audience: 

This course is intended for:

  • Data engineers, data architects, data scientists, and data developers who plan to implement big data engineering workflows on HDInsight.

Prerequisites:

In addition to their professional experience, students who attend this course should have:

  • Programming experience using R, and familiarity with common R packages
  • Knowledge of common statistical methods and data analysis best practices.
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.

Training content

Course Objective:

After completing this course, students will be able to:

  • Deploy HDInsight Clusters.
  • Authorizing Users to Access Resources.
  • Loading Data into HDInsight.
  • Troubleshooting HDInsight.
  • Implement Batch Solutions.
  • Design Batch ETL Solutions for Big Data with Spark
  • Analyze Data with Spark SQL.
  • Analyze Data with Hive and Phoenix.
  • Describe Stream Analytics.
  • Implement Spark Streaming Using the DStream API.
  • Develop Big Data Real-Time Processing Solutions with Apache Storm.
  • Build Solutions that use Kafka and HBase.

Quick stats about QuickStart?

98% increased workplace productivity

94% instructor and course effectiveness

Partnered with vendors including Microsoft, Cisco, and Citrix

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QuickStart
1101 S Capital of Texas Hwy - Building J, Suite 202
78746 Austin Texas

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QuickStart exists to create world-class technologists by personalizing and individualizing training to address the massive skills gap in the IT industry. Through 20 years of research and data analysis, we’ve learned that a modern learner prefers to learn through multiple...

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