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Data Primer

Course Summary

The Data Primer training course is designed to establish a baseline knowledge of the strengths, weaknesses, opportunities and risks surrounding data-based solutions. In this course, students will get an overview on data handling practices and some of the introductory technologies that support data initiatives.

The course begins with students being introduced to common terminology and their definitions as well as the most common issues to be faced when leveraging big data oriented systems. Next, the course covers the essential data flows and common technologies to illustrate how this is accomplished. The course concludes with students presenting findings with reports and dynamic visualizations.

Purpose
 Learn about the strengths, weaknesses, opportunities and risks surrounding data-based solutions.
Audience
 Software engineers who want to gain valuable insight as well as hands-on skills across an extensive landscape of data tools, techniques, and capabilities.
Role
Data Engineer - Data Scientist
Skill Level
Introduction
Style
Workshops
Duration
2 Days
Related Technologies
Databases

 

Productivity Objectives
  • Analyze data challenges: prescriptive, predictive, diagnostic, descriptive.
  • Craft data processing and analysis frameworks.
  • Verify that data are clean and hygienic.
  • Cluster and scale solutions to adapt to large problem sets.
  • Present findings through reports and dynamic visualizations.

What You'll Learn:

In the Data Primer training course, you'll learn:
  • The Current State of Big Data
    • What is happening in Data Science
    • Top Reasons for Adopting Big Data
    • Big Data vs Data Science vs ML vs DL
    • What does it mean to be data driven
  • The Data Pipeline
  • A Day in the Life of a Data Scientist
  • The Scientific Process
    • How to write a good hypothesis
  • The Core of the Data Stack
  • Reference Technologies for New Data Consumers
    • HDInsight
    • Hive
    • Sqoop
    • Nifi
    • Zeppelin
  • Data in the Cloud
    • Leveraging the services in Azure
    • HDInsight
  • Getting Data In
    • Ways to get data in
    • Use Sqoop as an example tech to bring MSql Data into HDInsight
  • Making Data Accessible
    • The common language: SQL
    • Use Hive to query data
  • Data Pipelines
    • What are pipelines?
    • Use Apache Nifi to create data flows
  • Data Visualization
    • Importance of data visualization
    • Making data understandable
    • Using Zeppelin for visualizing data
real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
tailored outlines

Tailored Outlines

One-size-fits-all doesn't apply to training teams. That's where we come in!
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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By filling out this form and clicking submit, you acknowledge our privacy policy.