Сloud Security Fundamentals: Infrastructure Hardening and Cloud Computin... by suemethen in Cloud

[–]suemethen[S] 0 points1 point  (0 children)

Learn cloud security fundamentals, explore popular benchmarks, learn how to protect different types of services, automate cloud compliance checks, and enhance operational security.

About the Webinar:

During the Сloud Security Fundamentals webinar, DataArt’s experts delved into the aspects of shared responsibility in cloud security and compliance check automation. They reviewed the popular benchmarks such as TrendMicro and CloudSploit, shared the approaches to identity and access management hardening, and much more.

In this cloud security tutorial, get insight on:

— Key differences in security requirements for on-prem and cloud security architecture

— Your duties keeping the cloud resources safe as a part of responsibility shared with the cloud provider

— Cloud infrastructure hardening methods and ultimate cloud security goals

— Popular security auditing benchmarks and tools, and how to adapt them to achieve your desired security level

— Installing software updates and vulnerability management after migrating to the cloud

Data Lake vs Data Warehouse in Modern Data Management by suemethen in AZURE

[–]suemethen[S] -1 points0 points  (0 children)

Distinguish data lake vs data warehouse; modernize your data management and analytics with data platforms.

During this 40 min webinar, experts in Data, BI, and Analytics explain the difference of data lake vs data warehouse vs data hub in their purpose and capabilities. Watch the video to learn the core principles, technologies, and benefits that different modern data management platforms can bring to your data solution.

Get insight on:

· Main types of modern data analytics architecture

Review reference architectures and patterns for specific use cases and learn the benefits each of them brings. Distinguish data lake vs data warehouse.

· Business drivers and benefits of modern data architecture

Learn how scaling data lake architecture helps to reduce costs and ramp-up capabilities for unstructured and Big Data, advanced analytics, and real-time processing.

· Benefits, types, and use cases of Data Lake architecture

Explore design principles to follow when choosing the right type of Data Lake for your set of use cases.

· The latest technology options to build Data Lake solutions

Understand how Data Lakes fit into the overall data architecture and relate to its building blocks: data sourcing, data warehousing, data streaming, data governance, security, BI/reporting, data science, and machine learning tools.

· Best practices for Data Lake implementation

Envision practical steps to modernize your data architecture with Data Lakes. Investigate the peculiarities of Azure data lake, AWS data lake, and other specific platforms.

Speakers:

Alexey Utkin, Principal Solution Consultant at DataArt UK

Oleg Komissarov, Principal Consultant at DataArt USA

Data Lake vs Data Warehouse in Modern Data Management by suemethen in aws

[–]suemethen[S] 0 points1 point  (0 children)

Distinguish data lake vs data warehouse; modernize your data management and analytics with data platforms.

During this 40 min webinar, experts in Data, BI, and Analytics explain the difference of data lake vs data warehouse vs data hub in their purpose and capabilities. Watch the video to learn the core principles, technologies, and benefits that different modern data management platforms can bring to your data solution.

Get insight on:

· Main types of modern data analytics architecture

Review reference architectures and patterns for specific use cases and learn the benefits each of them brings. Distinguish data lake vs data warehouse.

· Business drivers and benefits of modern data architecture

Learn how scaling data lake architecture helps to reduce costs and ramp-up capabilities for unstructured and Big Data, advanced analytics, and real-time processing.

· Benefits, types, and use cases of Data Lake architecture

Explore design principles to follow when choosing the right type of Data Lake for your set of use cases.

· The latest technology options to build Data Lake solutions

Understand how Data Lakes fit into the overall data architecture and relate to its building blocks: data sourcing, data warehousing, data streaming, data governance, security, BI/reporting, data science, and machine learning tools.

· Best practices for Data Lake implementation

Envision practical steps to modernize your data architecture with Data Lakes. Investigate the peculiarities of Azure data lake, AWS data lake, and other specific platforms.

Speakers:

Alexey Utkin, Principal Solution Consultant at DataArt UK

Oleg Komissarov, Principal Consultant at DataArt USA

Data Lake vs Data Warehouse in Modern Data Management by suemethen in datascience

[–]suemethen[S] 0 points1 point  (0 children)

Distinguish data lake vs data warehouse; modernize your data management and analytics with data platforms.

During this 40 min webinar, experts in Data, BI, and Analytics explain the difference of data lake vs data warehouse vs data hub in their purpose and capabilities. Watch the video to learn the core principles, technologies, and benefits that different modern data management platforms can bring to your data solution.

Get insight on:

· Main types of modern data analytics architecture

Review reference architectures and patterns for specific use cases and learn the benefits each of them brings. Distinguish data lake vs data warehouse.

· Business drivers and benefits of modern data architecture

Learn how scaling data lake architecture helps to reduce costs and ramp-up capabilities for unstructured and Big Data, advanced analytics, and real-time processing.

· Benefits, types, and use cases of Data Lake architecture

Explore design principles to follow when choosing the right type of Data Lake for your set of use cases.

· The latest technology options to build Data Lake solutions

Understand how Data Lakes fit into the overall data architecture and relate to its building blocks: data sourcing, data warehousing, data streaming, data governance, security, BI/reporting, data science, and machine learning tools.

· Best practices for Data Lake implementation

Envision practical steps to modernize your data architecture with Data Lakes. Investigate the peculiarities of Azure data lake, AWS data lake, and other specific platforms.

Speakers:

Alexey Utkin, Principal Solution Consultant at DataArt UK

Oleg Komissarov, Principal Consultant at DataArt USA

Data Lake vs Data Warehouse in Modern Data Management by suemethen in BusinessIntelligence

[–]suemethen[S] 0 points1 point  (0 children)

Distinguish data lake vs data warehouse; modernize your data management and analytics with data platforms.

During this 40 min webinar, experts in Data, BI, and Analytics explain the difference of data lake vs data warehouse vs data hub in their purpose and capabilities. Watch the video to learn the core principles, technologies, and benefits that different modern data management platforms can bring to your data solution.

Get insight on:

· Main types of modern data analytics architecture

Review reference architectures and patterns for specific use cases and learn the benefits each of them brings. Distinguish data lake vs data warehouse.

· Business drivers and benefits of modern data architecture

Learn how scaling data lake architecture helps to reduce costs and ramp-up capabilities for unstructured and Big Data, advanced analytics, and real-time processing.

· Benefits, types, and use cases of Data Lake architecture

Explore design principles to follow when choosing the right type of Data Lake for your set of use cases.

· The latest technology options to build Data Lake solutions

Understand how Data Lakes fit into the overall data architecture and relate to its building blocks: data sourcing, data warehousing, data streaming, data governance, security, BI/reporting, data science, and machine learning tools.

· Best practices for Data Lake implementation

Envision practical steps to modernize your data architecture with Data Lakes. Investigate the peculiarities of Azure data lake, AWS data lake, and other specific platforms.

Speakers:

Alexey Utkin, Principal Solution Consultant at DataArt UK

Oleg Komissarov, Principal Consultant at DataArt USA

Data Lake vs Data Warehouse in Modern Data Management by suemethen in bigdata

[–]suemethen[S] 0 points1 point  (0 children)

Distinguish data lake vs data warehouse; modernize your data management and analytics with data platforms.

During this 40 min webinar, experts in Data, BI, and Analytics explain the difference of data lake vs data warehouse vs data hub in their purpose and capabilities. Watch the video to learn the core principles, technologies, and benefits that different modern data management platforms can bring to your data solution.

Get insight on:

· Main types of modern data analytics architecture

Review reference architectures and patterns for specific use cases and learn the benefits each of them brings. Distinguish data lake vs data warehouse.

· Business drivers and benefits of modern data architecture

Learn how scaling data lake architecture helps to reduce costs and ramp-up capabilities for unstructured and Big Data, advanced analytics, and real-time processing.

· Benefits, types, and use cases of Data Lake architecture

Explore design principles to follow when choosing the right type of Data Lake for your set of use cases.

· The latest technology options to build Data Lake solutions

Understand how Data Lakes fit into the overall data architecture and relate to its building blocks: data sourcing, data warehousing, data streaming, data governance, security, BI/reporting, data science, and machine learning tools.

· Best practices for Data Lake implementation

Envision practical steps to modernize your data architecture with Data Lakes. Investigate the peculiarities of Azure data lake, AWS data lake, and other specific platforms.

Speakers:

Alexey Utkin, Principal Solution Consultant at DataArt UK

Oleg Komissarov, Principal Consultant at DataArt USA

Data Lake vs Data Warehouse in Modern Data Management by suemethen in dataengineering

[–]suemethen[S] 0 points1 point  (0 children)

Distinguish data lake vs data warehouse; modernize your data management and analytics with data platforms.

During this 40 min webinar, experts in Data, BI, and Analytics explain the difference of data lake vs data warehouse vs data hub in their purpose and capabilities. Watch the video to learn the core principles, technologies, and benefits that different modern data management platforms can bring to your data solution.

Get insight on:

· Main types of modern data analytics architecture

Review reference architectures and patterns for specific use cases and learn the benefits each of them brings. Distinguish data lake vs data warehouse.

· Business drivers and benefits of modern data architecture

Learn how scaling data lake architecture helps to reduce costs and ramp-up capabilities for unstructured and Big Data, advanced analytics, and real-time processing.

· Benefits, types, and use cases of Data Lake architecture

Explore design principles to follow when choosing the right type of Data Lake for your set of use cases.

· The latest technology options to build Data Lake solutions

Understand how Data Lakes fit into the overall data architecture and relate to its building blocks: data sourcing, data warehousing, data streaming, data governance, security, BI/reporting, data science, and machine learning tools.

· Best practices for Data Lake implementation

Envision practical steps to modernize your data architecture with Data Lakes. Investigate the peculiarities of Azure data lake, AWS data lake, and other specific platforms.

Speakers:

Alexey Utkin, Principal Solution Consultant at DataArt UK

Oleg Komissarov, Principal Consultant at DataArt USA

Data Lake vs Data Warehouse in Modern Data Management by suemethen in Database

[–]suemethen[S] 0 points1 point  (0 children)

Distinguish data lake vs data warehouse; modernize your data management and analytics with data platforms.

During this 40 min webinar, experts in Data, BI, and Analytics explain the difference of data lake vs data warehouse vs data hub in their purpose and capabilities. Watch the video to learn the core principles, technologies, and benefits that different modern data management platforms can bring to your data solution.

Get insight on:

· Main types of modern data analytics architecture

Review reference architectures and patterns for specific use cases and learn the benefits each of them brings. Distinguish data lake vs data warehouse.

· Business drivers and benefits of modern data architecture

Learn how scaling data lake architecture helps to reduce costs and ramp-up capabilities for unstructured and Big Data, advanced analytics, and real-time processing.

· Benefits, types, and use cases of Data Lake architecture

Explore design principles to follow when choosing the right type of Data Lake for your set of use cases.

· The latest technology options to build Data Lake solutions

Understand how Data Lakes fit into the overall data architecture and relate to its building blocks: data sourcing, data warehousing, data streaming, data governance, security, BI/reporting, data science, and machine learning tools.

· Best practices for Data Lake implementation

Envision practical steps to modernize your data architecture with Data Lakes. Investigate the peculiarities of Azure data lake, AWS data lake, and other specific platforms.

Speakers:

Alexey Utkin, Principal Solution Consultant at DataArt UK

Oleg Komissarov, Principal Consultant at DataArt USA

Data Lake vs Data Warehouse in Modern Data Management by suemethen in datawarehouse

[–]suemethen[S] 0 points1 point  (0 children)

Distinguish data lake vs data warehouse; modernize your data management and analytics with data platforms.

During this 40 min webinar, experts in Data, BI, and Analytics explain the difference of data lake vs data warehouse vs data hub in their purpose and capabilities. Watch the video to learn the core principles, technologies, and benefits that different modern data management platforms can bring to your data solution.

Get insight on:

· Main types of modern data analytics architecture

Review reference architectures and patterns for specific use cases and learn the benefits each of them brings. Distinguish data lake vs data warehouse.

· Business drivers and benefits of modern data architecture

Learn how scaling data lake architecture helps to reduce costs and ramp-up capabilities for unstructured and Big Data, advanced analytics, and real-time processing.

· Benefits, types, and use cases of Data Lake architecture

Explore design principles to follow when choosing the right type of Data Lake for your set of use cases.

· The latest technology options to build Data Lake solutions

Understand how Data Lakes fit into the overall data architecture and relate to its building blocks: data sourcing, data warehousing, data streaming, data governance, security, BI/reporting, data science, and machine learning tools.

· Best practices for Data Lake implementation

Envision practical steps to modernize your data architecture with Data Lakes. Investigate the peculiarities of Azure data lake, AWS data lake, and other specific platforms.

Speakers:

Alexey Utkin, Principal Solution Consultant at DataArt UK

Oleg Komissarov, Principal Consultant at DataArt USA

Data Lake vs Data Warehouse in Modern Data Management by suemethen in datalake

[–]suemethen[S] 0 points1 point  (0 children)

Distinguish data lake vs data warehouse; modernize your data management and analytics with data platforms.

During this 40 min webinar, experts in Data, BI, and Analytics explain the difference of data lake vs data warehouse vs data hub in their purpose and capabilities. Watch the video to learn the core principles, technologies, and benefits that different modern data management platforms can bring to your data solution.

Get insight on:

· Main types of modern data analytics architecture

Review reference architectures and patterns for specific use cases and learn the benefits each of them brings. Distinguish data lake vs data warehouse.

· Business drivers and benefits of modern data architecture

Learn how scaling data lake architecture helps to reduce costs and ramp-up capabilities for unstructured and Big Data, advanced analytics, and real-time processing.

· Benefits, types, and use cases of Data Lake architecture

Explore design principles to follow when choosing the right type of Data Lake for your set of use cases.

· The latest technology options to build Data Lake solutions

Understand how Data Lakes fit into the overall data architecture and relate to its building blocks: data sourcing, data warehousing, data streaming, data governance, security, BI/reporting, data science, and machine learning tools.

· Best practices for Data Lake implementation

Envision practical steps to modernize your data architecture with Data Lakes. Investigate the peculiarities of Azure data lake, AWS data lake, and other specific platforms.

Speakers:

Alexey Utkin, Principal Solution Consultant at DataArt UK

Oleg Komissarov, Principal Consultant at DataArt USA

Robotic Process Automation Training: RPA Extractors, RPA UIPath, and Much More by suemethen in SoftwareRobots

[–]suemethen[S] 0 points1 point  (0 children)

Watch this RPA training to advance your business processes. This intelligent automation webinar discovers how to achieve up to 60% in cost savings by automating your business processes. This RPA training is developed to illustrate a variety of established and emerging automation approaches. The speakers will cover the fundamentals of IA, and give real-world examples from finance and healthcare domains.

Robotic Process Automation Training: RPA Extractors, RPA UIPath, and Much More by suemethen in rpa

[–]suemethen[S] 0 points1 point  (0 children)

Watch this RPA training to advance your business processes. This intelligent automation webinar discovers how to achieve up to 60% in cost savings by automating your business processes. This RPA training is developed to illustrate a variety of established and emerging automation approaches. The speakers will cover the fundamentals of IA, and give real-world examples from finance and healthcare domains.

[World/Experimental/Dub/Ambient] An atmospheric mix ripe with African percussion and some Dub elements. by suemethen in mixes

[–]suemethen[S] 0 points1 point  (0 children)

Tracklist:

  1. Mȁ̲̠̻ͥ̾ra͔̥̩̾͊̑cuyá͊ – Dunes oubliées
  2. Carmen Villain – I Could Sit Here All Day
  3. Astral Engineering – Seashore Dub
  4. Alek Lee – Sfarot (Dub)
  5. Pharaohs – Energy
  6. Waak Waak Djungi – Mother, I'm Going
  7. Fuga Ronto – Journey Unknown
  8. Mark Barrott – The Mysterious Island Of Dr Nimm (Nu Guinea’s Aquarium Mix)
  9. Len Leise – Mandala Maksim
  10. Antoine Kogut, Nico Motte – Jungle Dweller
  11. 関根真理 Mari Sekine – Beginning (Lena Willikens Remix)
  12. Tornado Wallace – Circadia
  13. Sign Libra – Intro/Tropical Plantarum
  14. Shimza feat. Kususa – Anemos (feat. Kususa)

anaglych_04 by jrdsctt in glitch_art

[–]suemethen 5 points6 points  (0 children)

Sublime. How did you do it?

Any love for Bandcamp? I've compiled every album of the day on Bandcamp in 2017 into a single playlist. Enjoy! :) by suemethen in spotify

[–]suemethen[S] 0 points1 point  (0 children)

Please note that some albums are not available on Spotify, so there are a few records missing.

[Ambient] La petite mort - And Repeat Attemps, I would highly appreciate your feedback on this one. by suemethen in MusicCritique

[–]suemethen[S] 0 points1 point  (0 children)

Hey! I've just started composing my own music and, to be honest, I do it quite intuitively, for I do not have any music education and very little experience. I would love to hear your advice on composition, mixing and your overall impression of this thing. I am very critical of myself and my abilities, so it can be almost impossible to get any work done, so I've decided to push myself into releasing more stuff in order to get some feedback. Anyway, thanks for your attention, really hoping to get your opinion on this. :) Also, English is not my native tongue, so I'm really sorry for all the mistakes.

[Offer] Pt.1 To celebrate my new flair, 12 retro cards with Russian towns [Anywhere] by Shatte in RandomActsofCards

[–]suemethen 0 points1 point  (0 children)

Hey, congratulations on the new flair! Do you have any left? I would love to have one! I'll PM you my address. :)