Master serverless analytics with AWS Glue, QuickSight, Athena, & Redshift Spectrum (includes preview features with labs)
PS:
Please do NOTÂ join the course if you do NOT have any basic working knowledge of AWSÂ Console and AWS Services like S3, IAM, VPC, Security Groups etc. AWSÂ Beginners may struggle understanding some of the topics.
Course explains all the labs. If you want to practice labs, it would require AWSÂ Account and may cost $$.
Basic working knowledge of Redshift is recommended, but not a must.
This course has been designed for intermediate and expert AWSÂ Developers / Architects / Administrators.
Course covers each and every feature that AWSÂ has released since 2018 for AWSÂ Glue, AWSÂ QuickSight, AWSÂ Athena, and Amazon Redshift Spectrum, and it regularly updated with every new feature released for these services.
Serverless is the future of cloud computing and AWSÂ is continuously launching new services on Serverless paradigm. AWSÂ launched Athena and QuickSight in Nov 2016, Redshift Spectrum in Apr 2017, and Glue in Aug 2017. Data and Analytics on AWSÂ platform is evolving and gradually transforming to serverless mode.
Businesses have always wanted to manage less infrastructure and more solutions. Big data challenges are continuously challenging the infrastructure boundaries. Having Serverless Storage, Serverless ETL, Serverless Analytics, and Serverless Reporting, all on one cloud platform had sounded too good to be true for a very long time. But now its a reality on AWSÂ platform. AWSÂ is the only cloud provider that has all the native serverless components for a true Serverless Data Lake Analytics solution.
It's not a secret that when a technology is new in the industry, professionals with expertise in new technologies command great salaries. Serverless is the future, Serverless is the industry demand, and Serverless is new. It's the perfect time and opportunity to jump into Serverless Analytics on AWSÂ Platform.
In this course, we would learn the following:
1)Â We will start with Basics on Serverless Computing and Basics of Data Lake Architecture on AWS.
2)Â We will learn Schema Discovery, ETL, Scheduling, and Tools integration using Serverless AWSÂ Glue Engine built on Spark environment.
3)Â We will learn to develop a centralized Data Catalogue too using Serverless AWSÂ Glue Engine.
4) We will learn to query data lake using Serverless Athena Engine build on the top of Presto and Hive.
5)Â We will learn to bridge the data warehouse and data lake using Serverless Amazon Redshift Spectrum Engine built on the top of Amazon Redshift platform.
6)Â We will learn to develop reports and dashboards, with a powerpoint like slideshow feature, and mobile support, without building any report server, by using Serverless Amazon QuickSight Reporting Engines.
7)Â We will finally learn how to source data from data warehouse, data lake, join data, apply row security, drill-down, drill-through and other data functions using the Serverless Amazon QuickSight Reporting Engines.
This course understands your time is important, and so the course is designed to be laser-sharp on lecture timings, where all the trivial details are kept at a minimum and focus is kept on core content for experienced AWSÂ Developers / Architects / Administrators. By the end of this course, you can feel assured and confident that you are future-proof for the next change and disruption sweeping the cloud industry.
IÂ am very passionate about AWSÂ Serverless computing on Data and Analytics platform, and am covering A-to-Z of all the topics discussed in this course.
So if you are excited and ready to get trained on AWSÂ Serverless Analytics platform, IÂ am ready to welcome you in my class !
Confidently work with AWS Serverless services to develop Data Catalogue, ETL, Analytics and Reporting on a Data Lake
Develop deep knowledge in Glue, Athena, Redshift Spectrum and QuickSight
Build a serverless data lake on AWS using structured and unstructured data
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Udemy's Top 10% of most engaging instructorsMy name is Siddharth Mehta. I have career experience of more than 15 years in the IT Industry and am presently working as Enterprise Cloud Architect. I am published author on many online and print-media publications. I have taught thousands of students on Udemy and have number of courses on Data and Analytics. Would...
This course first went quite good - but once moving on to Redshift there is a big gap between the past and now.
If you cannot manage it - you will have troubles and the course won't really satisfy you.,
Also the test-data which is referred to, was never touched in any chapter ("cartesian data"). The Course could be reduced to a third if the AWS Documentation would be "dropped" and just referenced by links (as usual)...
Course is not at all helpful for developer. At such a discounted price you will get to hear important notes compiled from AWS's huge documentation. One cannot expect more than this.
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Siddharth has done a fantastic job. I highly recommend. He came with the right examples to explain the stuff. Communication is excellent.
But I have only one concern here, in spite of content/topics is still relevant, course content should have been updated with the recent UI.
Good Course on glue and redshift.
The Entire course is good but very old . it needs to be updated with time.
* To much slide reading
* Lack of Labs. The ones I consider not enough. A project-based course would have been a good approach, like the course con ADF on the Covid analisys
* Unupdated course. If you buy it, prepare to investigate quite much by yourself
* A little skips on the timeline, where some things appear and you don't know when they were done
* The instructor doesn't answer the questions. However, I realized that he did answer to those who mark the course with one start. First time I see this on Udemy
This course is very out of date. It really needs to be reworked completely to make the labs work properly. I like the videos on the theory and feel that they provide good info, but the AWS console has changed too much for these labs to work without the user doing a lot of extra research.
So Far good only
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Ramji S.
Great learning video