Databricks - Exeliq

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CURRICULUM

Prerequisites:

Intermediate Python and Spark/Scala
Azure/AWS (S3, Redshift, Azure Blob Storage, Azure Data Lake Storage, Azure SQL Data warehouse)
Hadoop/Hive

Target Audience:

This class is for you if:
Programmers, Developers, Technical Leads, Architects
Developers/Business Analysts aspiring to be a ‘Machine Learning Engineer’
Data Scientists/Data Analysts who want to gain expertise in Predictive Analytics
‘Python’ professionals who want to design automatic predictive models

Learning Outcomes:

Upon completion of this course, you will be able to:
Learn how to use Databricks for Python/Spark/R/Spark-SQL development
Setup job for Notebook, Setup Spark cluster
Setup BI Tool with Databricks
Intergrate CMD CLI with Databricks
Use Databrick Rest API
Use Databrick for Data Visulazation
Learn how to use the Databricks for ML/GraphX/Predictive models.

Databricks Login

1: Sign up Databricks


2: Select a subscription type


3: Add security features (Optional)


Databricks Implementation

1. Create a Clusters


2. Create a Workspace


3. Create Notebooks – Scala, Python, R, SQL


4. Visualizations


5. Accessing Data


6. Databases and Tables


7. Libraries


8. Create Jobs


9. Developer Tools


10. Databricks File System – DBFS


11. Business Intelligence Tools

Databricks Configuration

1. Configure the Cluster


2. Spark related configugration


3. Cluster Scale – Horizantally

Security - Manage Access Control

1. Workspace Access Control


2. Cluster Access Control


3. Jobs Access Control


4. Table Access Control


5. Enable Token-based Authentication

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Frequently Asked Questions

Who is this course designed for?

This course is designed for anyone who would like to learn the essentials of data science. Students will gain hands-on experience working with some of the most in-demand big data technologies and leave ready to kickstart their data science careers.

When is the next session? How can I join?

You can find the dates of upcoming sessions and register via The Exeliq’s Eventbrite page.

What is the approximate time commitment for this course?

Our Foundations course includes four hours of lectures each week. You’ll also want to allot extra time for reviewing lectures and working on the associated projects; we generally recommend setting aside at least four additional hours per week for this, but it’s up to you how much time you’d like to put in.

Does this class offer job search support?

As Foundations is intended to add a set of skills for students who are currently employed full time, we do not offer placement or job search support for this course.

With loads of data you will find relationships that aren’t real. Big data isn’t about bits, it’s about talent.

-Forbes Magazine

A few of our 250+ hiring and training partners: