AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Delta Lake doesn’t have a specific concept for incremental queries.

Data Lake 109

Data Lake Data Warehouse Visualization Snapshot 109

AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions. Snowflake can query across Iceberg and Snowflake table formats.

Data Lake 91

Data Lake Snapshot Metadata Data Architecture 91

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. The decoupled compute and storage architecture of Amazon Redshift enables you to build highly scalable, resilient, and cost-effective workloads.

Analytics 92

Analytics Data Warehouse Testing Dashboards 92

AWS Big Data

JANUARY 8, 2024

Kinesis Data Streams has native integrations with other AWS services such as AWS Glue and Amazon EventBridge to build real-time streaming applications on AWS. Refer to Amazon Kinesis Data Streams integrations for additional details. The raw data can be streamed to Amazon S3 for archiving.

Analytics 109

Analytics IoT Data-driven Snapshot 109

AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. OpenSearch Service offers visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

AWS Big Data

MARCH 3, 2023

With fast and fine-grained scaling in EMR Serverless, if a pipeline runs daily and needs to process 1 GB of data one day and 100 GB of data another day, EMR Serverless automatically scales to handle that load. For more information, refer to Creating external tables for data managed in Delta Lake.

Data Lake 79

Data Lake Dashboards Metrics Metadata 79