Updates to the AWS Certified Data Analytics Prep Course

Hi Folks,

We recently updated our AWS Certified Data Analytics prep course on Udemy for changes in 2021. S3 now offers strong consistency, making EMRFS consistent by default. Amazon’s guidance for choosing instance types for EMR clusters has also been updated, and the maximum retention period for Kinesis has increased from 7 to 365 days. We don’t know how quickly the exam will adapt to these changes, but you’ll know about them when they do.

Cloudera has also been making some changes to their pricing to require subscriptions for pretty much everything, and as such, they’ve made the free Hortonworks Data Platform Sandbox (which we use in our Ultimate Hands-On Hadoop course) hard to find. We’ve updated our setup lecture to point you in the right place for that.

There have been numerous other small updates to most of our courses since our last update; the start of the year tends to come with a lot of change. But as always, we remain committed to keeping our courses up to date for you!

The latest news in data science and machine learning includes four predictions for AI & Machine Learning in 2021, how AI can improve website security, and public datasets are improving decision making.

Stay in the loop! Follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some news highlights from the past couple of weeks:

Four Predictions For Artificial Intelligence And Machine Learning In 2021

How AI Can Improve Your Website Security

Using AI And Machine Learning To Break Past The Constraints Of The ‘New Normal’

Will Data Engineering Efforts Reduce In The Future?

Using Public Datasets For Improved Decision-Making

The Power Of Server-Based Data Reporting

Data Visualization and Exploratory Data Analysis (EDA) in Data Science

NoOps Machine Learning

Fundamentals of Linear Regression for Machine Learning

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As always thank you for having me along on your learning journey!

Frank Kane

CEO/Founder of Sundog Education

Published by

Frank Kane

Our courses are led by Frank Kane, a former Amazon and IMDb developer with extensive experience in machine learning and data science. With 26 issued patents and 9 years of experience at the forefront of recommendation systems, Frank brings real-world expertise to his teaching. His ability to explain complex concepts in accessible terms has helped over one million students worldwide gain valuable skills in machine learning, data engineering, and AI development.

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