Power Enterprise-Grade Data Vaults with Amazon Redshift – Part 1
Amazon Redshift stands out as a leading cloud data warehouse solution, providing a fully managed service that effortlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, and transactional processes. This robust platform delivers an impressive price-performance ratio, boasting up to 7.9 times better efficiency compared to other cloud data warehouses.
Power Enterprise-Grade Data Vaults with Amazon Redshift – Part 2
by Jordan Smith, Alex Johnson, and Mia Chen
on 16 NOV 2023
in Advanced (300), Amazon Redshift, Analytics, Best Practices
Continuing from our previous discussion, Amazon Redshift remains a top choice for businesses looking for an effective cloud data warehouse. Its seamless integration with Amazon S3 and compatibility with diverse workflows—including real-time streams and ML—ensures organizations can achieve optimal performance and scalability while realizing significant cost savings.
Decentralize LF-Tag Management with AWS Lake Formation
by Ethan Roberts and Lily Brown
on 16 NOV 2023
in Analytics, Announcements, AWS Lake Formation, Intermediate (200), Technical How-to
In an age where data drives decisions, businesses encounter unique challenges in managing their expanding data ecosystems. As the volume of data assets and users increases, traditional management and governance methods fall short. Organizations are now designing more sophisticated architectures to decentralize permissions management, empowering individual users to take charge.
Use Generative AI with Amazon EMR, Amazon Bedrock, and English SDK for Apache Spark to Unlock Insights
by Liam Davis and Ava Wilson
on 16 NOV 2023
in Amazon Bedrock, Amazon EMR, Analytics, Artificial Intelligence, AWS Glue, Generative AI, Intermediate (200), Technical How-to
As organizations globally strive to harness the power of their massive datasets, innovative techniques for extracting insights are imperative. Apache Spark delivers the scalability and speed essential for processing extensive amounts of data efficiently. Amazon EMR stands out as the premier cloud solution for big data processing on a petabyte scale, offering interactive analytics and machine learning capabilities.
Introducing Shared VPC Support on Amazon MWAA
by Noah Taylor
on 15 NOV 2023
in Amazon EventBridge, Amazon Managed Workflows for Apache Airflow (Amazon MWAA), Amazon Simple Queue Service (SQS), Amazon VPC, AWS Lambda, AWS Organizations, Intermediate (200)
This article illustrates how to automate the deployment of Amazon Managed Workflows for Apache Airflow (Amazon MWAA) using customer-managed endpoints within a VPC. This feature enhances compatibility with shared or restricted VPCs. Data scientists and engineers have increasingly adopted Apache Airflow for creating data pipelines due to its robust open-source community and familiar interface.
Unlock Innovation in Data and AI at AWS re:Invent 2023
by Olivia Martinez
on 15 NOV 2023
in Analytics, AWS re:Invent
For those looking to drive innovation with data and AI, AWS re:Invent 2023 presents numerous opportunities. Attendees can explore services, strategies, and solutions to overcome their data challenges. For more information, check out this other blog post for insights on maximizing your experience at this event: link.
What’s Cooking with Amazon Redshift at AWS re:Invent 2023
by Emma White
on 15 NOV 2023
in Amazon Redshift, Analytics, AWS re:Invent
AWS re:Invent is a remarkable learning event that never ceases to impress with its scale and impact. The event features keynotes filled with announcements from AWS leaders, training opportunities, over 2,000 technical sessions, an expansive expo, executive summits, after-hours events, demos, and more.
BMW Cloud Efficiency Analytics Powered by Amazon QuickSight and Amazon Athena
by Sophie Green, Mark Patel, Laura Kim, and James Brown
on 15 NOV 2023
in Amazon Athena, Amazon QuickSight, Analytics, AWS Big Data, Customer Solutions
This post highlights collaboration with BMW Group, a prominent vehicle manufacturer based in Germany. With a workforce of over 149,000 and a remarkable profit of €23.5 billion in 2022, BMW continues to lead in efficient data analytics solutions.
Implement Apache Flink Real-Time Data Enrichment Patterns
by Ryan Lewis and Sarah Johnson
on 15 NOV 2023
in Advanced (300), Amazon Managed Service for Apache Flink, Analytics, Thought Leadership
Organizations can utilize various approaches to enrich their real-time data with Apache Flink, depending on specific use cases and abstraction levels. Each method can significantly impact throughput, network traffic, and CPU or memory utilization. For further reading on related topics, visit this excellent resource: link.
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