Remove 2022 Remove Big Data Remove Cost-Benefit Remove Snapshot
article thumbnail

What’s Happening with AI & Big Data in August 2022

Smart Data Collective

Big Data and AI are, perhaps, the most important business technologies of the century, and they are intrinsically related. But what is the state of AI and Big Data, right now? But what is the state of AI and Big Data, right now? Big data and AI have what is referred to as a synergistic relationship.

article thumbnail

Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Snowflake integrates with AWS Glue Data Catalog to access the Iceberg table catalog and the files on Amazon S3 for analytical queries. This greatly improves performance and compute cost in comparison to external tables on Snowflake , because the additional metadata improves pruning in query plans.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

In early 2022, AWS announced general availability of Athena ACID transactions, powered by Apache Iceberg. There is an increased need for data lakes to support database like features such as ACID transactions, record-level updates and deletes, time travel, and rollback. The snapshot points to the manifest list.

Data Lake 120
article thumbnail

Choosing an open table format for your transactional data lake on AWS

AWS Big Data

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 115
article thumbnail

Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

AWS Big Data

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

article thumbnail

Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. These types of queries are suited for a data warehouse.