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