xREL.v3

.:PROUDLY PRESENTS:.
Cloud Academy Using Azure Data Lake Storage Gen2
Release Date.: 22-03-2020
Type.: Bookware
Disks.: 34x15mb
Link.: https://cloudacademy.com

Release Notes

Azure Data Lake Storage Gen2 (ADLS) is a cloud-based
repository for both structured and unstructured data. For
example, you could use it to store everything from
documents to images to social media streams.
Data Lake Storage Gen2 is built on top of Blob Storage.
This gives you the best of both worlds. Blob Storage
provides great features like high availability and
lifecycle management at a very low cost. Data Lake Storage
provides additional features, including hierarchical
storage, fine-grained security, and compatibility with Hadoop.
The most effective way to do big data processing on Azure
is to store your data in ADLS and then process it using
Spark (which is essentially a faster version of Hadoop) on
Azure Databricks.
In this course, you will follow hands-on examples to import
data into ADLS and then securely access it and analyze it
using Azure Databricks. You will also learn how to monitor
and optimize your Data Lake Storage.
Learning Objectives

Get data into Azure Data Lake Storage (ADLS)
Use six layers of security to protect data in ADLS
Use Azure Databricks to process data in ADLS
Monitor and optimize the performance of your data lakes

Intended Audience

Anyone interested in Azure's big data analytics services

Prerequisites

Experience with Azure Databricks
Microsoft Azure account recommended (sign up for free trial
at https://azure.microsoft.com/free if you don't have an account)
Resources
The GitHub repository for this course is at
https://github.com/cloudacademy/azure-data-lake-gen2.

Greetings fly out to:

Kodemusen, KoseBamsen

STM is back.
For all the ppl we worked with
in the past. We salute you.

NFO by NiMiTech
Updated: 09/09/2002