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AWS LAKE
FORMATION
SUPPORT GOVERNED
TABLES, STORAGE
OPTIMIZATION AND
ROW-LEVEL
SECURITY
SPEAKER
Dhaval Soni
A W S A P N A M B A S S A D O R A N D
S O L U T I O N S A R C H I T E C T
• India’s first Red Hat Certified Architect in 2009
• 10x AWS Certified Solutions Architect
• 10x Red Hat Certified Architect
• ISO/IEC 27001 Lead Auditor
• Certified Payment-Card Industry Security Implementer (CPISI)
• EU Registered European Data Protection Professional (GDPR)
• Certified Cyber Security Analyst from GFSU – Department of
Forensic Sciences, Gujarat State
Confidential Information - Infostretch Corporation - For intended recipients only. ©2021 Infostretch. All rights reserved. 3
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Confidential Information - Infostretch Corporation - For intended recipients only. ©2021 Infostretch. All rights reserved. 3
3
AGENDA
• What is AWS Lake Formation?
• Latest announcement
• How will it help you?
WHAT IS AWS LAKE FORMATION?
• AWS Lake Formation is a service that makes it easy to set up a
secure data lake in days.
• A data lake is a centralized, curated, and secured repository that
stores all your data, both in its original form and prepared for
analysis.
• A data lake lets you break down data silos and combine
different types of analytics to gain insights and guide better business
decisions.
AWS Lake Formation
ANNOUNCEMENT
• Lake Formation Governed Tables, a new type of table on Amazon
S3, that simplifies building resilient data pipelines with multi-table
transaction support.
• Governed Tables monitor and automatically optimize how data is
stored so query times are consistent and fast.
• In addition to table and columns, Lake Formation now supports row
and cell-level permissions, making it more easily to restrict access
to sensitive information by granting users access to only the
portions of the data they are allowed to see.
HOW WILL IT HELP YOU?
• As data is added or changed, Lake Formation automatically manages
conflicts and errors to ensure that all users see a consistent view of the
data.
• This eliminates the need for customers to create custom error handling
code or batch their updates.
• Automatic data optimization which makes query times are consistent
and fast.
• Improved raw level security to protect data.
THANK YOU!

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AWS Lake Formation support Governed Tables, storage optimization and row-level security

  • 1. AWS LAKE FORMATION SUPPORT GOVERNED TABLES, STORAGE OPTIMIZATION AND ROW-LEVEL SECURITY
  • 2. SPEAKER Dhaval Soni A W S A P N A M B A S S A D O R A N D S O L U T I O N S A R C H I T E C T • India’s first Red Hat Certified Architect in 2009 • 10x AWS Certified Solutions Architect • 10x Red Hat Certified Architect • ISO/IEC 27001 Lead Auditor • Certified Payment-Card Industry Security Implementer (CPISI) • EU Registered European Data Protection Professional (GDPR) • Certified Cyber Security Analyst from GFSU – Department of Forensic Sciences, Gujarat State
  • 3. Confidential Information - Infostretch Corporation - For intended recipients only. ©2021 Infostretch. All rights reserved. 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 Confidential Information - Infostretch Corporation - For intended recipients only. ©2021 Infostretch. All rights reserved. 3 3 AGENDA • What is AWS Lake Formation? • Latest announcement • How will it help you?
  • 4. WHAT IS AWS LAKE FORMATION? • AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. • A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. • A data lake lets you break down data silos and combine different types of analytics to gain insights and guide better business decisions. AWS Lake Formation
  • 5. ANNOUNCEMENT • Lake Formation Governed Tables, a new type of table on Amazon S3, that simplifies building resilient data pipelines with multi-table transaction support. • Governed Tables monitor and automatically optimize how data is stored so query times are consistent and fast. • In addition to table and columns, Lake Formation now supports row and cell-level permissions, making it more easily to restrict access to sensitive information by granting users access to only the portions of the data they are allowed to see.
  • 6. HOW WILL IT HELP YOU? • As data is added or changed, Lake Formation automatically manages conflicts and errors to ensure that all users see a consistent view of the data. • This eliminates the need for customers to create custom error handling code or batch their updates. • Automatic data optimization which makes query times are consistent and fast. • Improved raw level security to protect data.

Editor's Notes

  1. RYM SLIDE​​ ​​ *Hello and good morning, everyone. We will begin the webinar here in a few minutes, still seeing some people signing on at this time. In the meantime, I would like to ensure we could hear our speakers, Shabir, Kinjan, Chintan, can you say a quick hello? --- Perfect, thank you. Okay, stay tuned, we’ll begin here shortly.  ​​  ​​ *Hi all, we’ll begin the presentation in about a minute. Thank you.  ​​ ​​ *Hello and welcome to our webinar, ”Secure Real Time Monitoring & Analysis for IoT Product Engineering". ​​ My name is Rym Badri and I will be your host today. ​​
  2. RYM SLIDE​ ​ Today’s presenter are: ​ ​ Shabir ​​Rupani, Sr. Partner Solutions Architect at AWS, Kinjan Shah, Director of IoT and MedTech Practice at Infostretch and Chintan Prajapati, Solutions Architect focused on IoT and MedTech at Infostretch. Shabir is a Senior Partner Solutions Architect at AWS. He has a background in Application Infrastructure Architecture with a core focus on migrating and modernizing applications for the cloud. Currently, at AWS he is focused on helping AWS Partner Network (APN) partners build and develop their AWS Practice, and innovate on the AWS platform to deliver the best possible outcomes for their customers. Kinjan is our Director of the IoT and MedTech Engineering Practice here at Infostretch, He has led the creation of various frameworks that enable MedTech companies to shorten their product development cycle. He has more than 22 years of experience in IoT solutions and MedTech Engineering along with enterprise mobile applications, embedded systems, and enterprise solutions. He has worked with both startups and Fortune 500 companies across different industries including Healthcare, Medical Devices, Financial (Mobile and Digital Payments) and Industrial Automation (M2M and IoT solutions). Finally, As Solutions Architect part of the IoT and MedTech Practice at Infostretch, Chintan is involved in building Accelerators & Frameworks to expedite delivery of IoT & Mobility Solutions. Chintan is involved in Project seeding activities and Solution Development for customer on their Consumer IoT, Industrial IoT, Internet of Medical Things (IOMT), Mobility & Cloud initiatives.
  3. KINJAN SLIDE
  4. RYM SLIDE I believe that’s all the questions we are able to answer at this time. ​ Many thanks to our speakers, Ketan, Shabir and Deven and Thank you everyone for joining us today! ​ Be sure to check out and subscribe to DTV – A digital transformation channel that brings in industry experts including Intermiles! ​ You will receive an email in the next 24 hours with the slide presentation and link to the webcast replay. ​ ​ If you have any questions, please contact us at info@infostretch.com or you can reach out to the presenters directly. ​ ​ Thank you, all. Enjoy the rest of your day!​ ​ <END PRESENTATION>​ ​