AWS Serverless Analytics: Glue, Redshift, Athena, QuickSight

Mastering AWS Glue, QuickSight, Athena & Redshift Spectrum

Name: Mastering AWS Glue, QuickSight, Athena &amp; Redshift Spectrum
Brand: Udemy
SKU: 44622
Price: 17.99 USD
Availability: InStock
Rating: 3.47 (17 reviews)

$17.99Track price

Siddharth Mehta 382 AWS Udemy

★★★★★

(17 customer reviews)

Description
Instructor Details
Additional information
Reviews (17)

8.2/10 (Our Score)

Product is rated as #53 in category AWS

PS:

Please do NOT join the course if you do NOT have any basic working knowledge of AWS Console and AWS Services like S3, IAM, VPC, Security Groups etc. AWS Beginners may struggle understanding some of the topics.

Course explains all the labs. If you want to practice labs, it would require AWS Account and may cost $$.

Basic working knowledge of Redshift is recommended, but not a must.

This course has been designed for intermediate and expert AWS Developers / Architects / Administrators.

Course covers each and every feature that AWS has released since 2018 for AWS Glue, AWS QuickSight, AWS 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 AWS is continuously launching new services on Serverless paradigm. AWS launched Athena and QuickSight in Nov 2016, Redshift Spectrum in Apr 2017, and Glue in Aug 2017. Data and Analytics on AWS 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 AWS platform. AWS is the only cloud provider that has all the native serverless components for a true Serverless Data Lake Analytics solution.

Instructor Details

Siddharth MehtaEnterprise Cloud Architect, Published Author, Cloud Geek

Votes: 0

Courses : 5

Udemy's Top 10% of most engaging instructors My 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 you consider learning from just any hobbyist who knows programming or someone who just teaches programming without practically using it in the real world, or someone who has experience of using the technology in real world on multi-million dollar large-scale projects globally ? I will teach you everything I know about the subject, from my years of practical experience in the field of BI, Data, Analytics, Cloud and Data Science. If you are interested in learning more about me, below are some of my career highlights: I have career experience of more than 15+ years and am presently working in New York Metro region as Enterprise Architect for a life-sciences proprietary multi-tenant product technology portfolio, managing an ecosystem of ISVs and tenants. Below are some of my career highlights: -|- International experience of working across geographies (US, UK, Singapore) for multi-national clients in Banking, Logistics, Government, Media Entertainment, Products, Life Sciences and other domains -|- Lead architecture of multi-million dollar portfolios containing apps in Cloud, web, mobile, BI, Analytics, Data warehousing, Reporting, Collaboration, CMS, NoSQL and other categories. -|- Official inventor of a patented application -|- Published author/reviewer of whitepapers for Microsoft MSDN Library, Manning publication, Packt publication and others. -|- Certifications: AWS Certified Solution Architect, TOGAF 9, CITA-F, HCAHD and more In my present role, I remain responsible for Estimations like AO, IO, SI, IC & Security, Architecture Design, Technology Stack selection, Infra design, 3rd party products evaluation and procurement, and Performance engineering. Hands-On Technology experience of below tech: -|- OS: Win, Linux -|- Cloud: GCP, Azure, AWS -|- Databases: Neo4j, AWS Neptune, Redis, Memcached, MongoDB, Cassandra, HBase, SQL Server, MariaDB, Postgres, Aurora, MySQL, SSAS, AWS Redshift, Google BigQuery, Azure Data Lake, AWS RDS, DynamoDB, Athena, AWS Elasticache -|- Big Data: Google DataProc, AWS EMR, Kafka, Spark, Hive, Oozie -|- Search: AWS Elasticsearch -|- Web: Node.JS, Angular, jQuery, REST APIs, React -|- ESB/ETL: AWS Lambda, Step Functions, AWS Kinesis, AWS Glue, Mulesoft, SSIS, AWS Data pipeline -|- Data Science: R , Python, GGPlot 2, Numpy, Seaborn, Pandas, Skikit-learn, Spark ML, Data Mining, Regression & Classification algorithms -|- Reports / Dashboards : Tableau, Qlikview, SSRS, AWS Quicksight, D3

Specification: Mastering AWS Glue, QuickSight, Athena & Redshift Spectrum

Duration	18.5 hours
Year	2020
Level	All
Certificate	Yes
Quizzes	No

17 reviews for Mastering AWS Glue, QuickSight, Athena & Redshift Spectrum

3.5 out of 5

★★★★★

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★★★★★
Roland Dunbar – January 4, 2020
Clear, concise, no waffle, how a course should be…….
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★★★★★
Ankababu Medikonda – January 6, 2020
Good one to follow and understand
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★★★★★
Gal Habucha – January 8, 2020
The actual versions of the software are different from those shown in the videos.
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★★★★★
Meisam Heidari – January 11, 2020
the author is probably good at using AWS services and I admire that he tried to put together interesting subjects in the course. However, unfortunately, the quality of delivery is not that great. It is really difficult to keep listening when you don’t get much for your time. This could easily be delivered in half of this time, with better materials. A lot of repetitions and not useful chats. Labs are not too great either. Not recommended.
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★★★★★
Venkata Thota – January 11, 2020
1. Quality of downloaded video is 360p which is low quality 2. Presenter is just reading from points extracted from AWS
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★★★★★
Partha Pratim Das – February 5, 2020
Very good flow and coverage even for beginners
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★★★★★
Murali Mohan – March 30, 2020
The instructor’s explanation and lab practice of the topics is of first class and second to none ,according to me and I am learning these AWS serverless tools to improve my skills set after working on conventional technologies [Unix,Oracle,Teradata,Abinitio,Constellar etc. ] for more than a decade .
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★★★★★
Nilesh Warankar – July 7, 2020
Crisp Content, Clear Language, Very useful for beginner and intermediate people
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★★★★★
Vinay Kumar – July 11, 2020
Practical approach is not satisfactory. Too much theory part compare to practical. Please give more focus on practical rather than theory.
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★★★★★
Simon Hardstaff – July 22, 2020
Hi Sid your accent is not heavy and I can understand you very well from the UK
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★★★★★
Marcio Teruo Akyama – February 25, 2021
bad accent, dificult to understand
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★★★★★
Nicol s Vial – March 5, 2021
No subtitles.
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★★★★★
Sanchayan Sen – March 7, 2021
I come from ETL Background and basis what i have i learnt so far , this course is perfect for those who are aspiring to learn ETL on AWS. The explanations so far are very well explained, and content is quite appropriate. I am eager to learn more from this course and , and would apply this in my new project set up where we will be porting on prem big data ETL solutions to AWS. Excellent tutorial indeed.
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★★★★★
Deepak Goel – July 8, 2021
Excellent Course to understand AWS GLUE
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★★★★★
Linda Li – July 8, 2021
Have trouble to fully understand due to heave Indian accent…
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★★★★★
Sailender Kumar Marripalepu – July 10, 2021
Excellent Sir After researching many videos I found this a valuable resource Thank You
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★★★★★
Prashant Ghatage – July 12, 2021
Not quite up to expectations yet.
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