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Data Lake Architecture: Data Lake vs Data Warehouse in Modern Data Management
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Distinguish data lake vs data warehouse; modernize your data management and analytics with data platforms.
During this 40 min webinar, DataArt's experts in Data, BI, and Analytics explain the difference between data lake, data warehouse and 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 insights on:
💡 Main types of modern data analytics architecture
💡 How to review reference architectures and patterns for specific use cases and learn the benefits each of them brings.
💡 Business drivers and benefits of modern data architecture
💡 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
💡 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
💡 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
💡 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
Chapters:
00:00 – Introduction
01:02 – The New Demands of the Digital Era, New Data Volumes and New Data Types
05:33 – Insights-Driven Business and Traditional Data Analytics Architecture
14:20 – Conceptual Modern Data Architecture
16:03 – What Is Data Lake? What Are Its Core Components?
22:55 – Data Ingestion Best Practices
27:52 – Storage Best Practices
32:47 – Data Processing & Analytics.
#dataart #datalake #datawarehouse
____________________________________________
During this 40 min webinar, DataArt's experts in Data, BI, and Analytics explain the difference between data lake, data warehouse and 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 insights on:
💡 Main types of modern data analytics architecture
💡 How to review reference architectures and patterns for specific use cases and learn the benefits each of them brings.
💡 Business drivers and benefits of modern data architecture
💡 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
💡 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
💡 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
💡 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
Chapters:
00:00 – Introduction
01:02 – The New Demands of the Digital Era, New Data Volumes and New Data Types
05:33 – Insights-Driven Business and Traditional Data Analytics Architecture
14:20 – Conceptual Modern Data Architecture
16:03 – What Is Data Lake? What Are Its Core Components?
22:55 – Data Ingestion Best Practices
27:52 – Storage Best Practices
32:47 – Data Processing & Analytics.
#dataart #datalake #datawarehouse
____________________________________________
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