Remove Big Data Remove Data Architecture Remove Optimization Remove Snapshot
article thumbnail

Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

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. State snapshot in Amazon S3 – You can store the state snapshot in Amazon S3 for tracking.

Analytics 115
article thumbnail

Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 104
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

Exploring real-time streaming for generative AI Applications

AWS Big Data

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. It also allows you to transform, enrich, join, and aggregate data across many sources efficiently in near-real time.

article thumbnail

How Amazon optimized its high-volume financial reconciliation process with Amazon EMR for higher scalability and performance

AWS Big Data

To optimize the reconciliation process, these users require high performance transformation with the ability to scale on demand, as well as the ability to process variable file sizes ranging from as low as a few MBs to more than 100 GB. For optimal parallelization, the step concurrency is set at 10, allowing 10 steps to run concurrently.

article thumbnail

Build a multi-Region and highly resilient modern data architecture using AWS Glue and AWS Lake Formation

AWS Big Data

Data migration must be performed separately using methods such as S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication. This utility has two modes for replicating Lake Formation and Data Catalog metadata: on-demand and real-time. Nivas Shankar is a Principal Product Manager for AWS Lake Formation.

article thumbnail

Introducing Apache Iceberg in Cloudera Data Platform

Cloudera

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Snapshot 104
article thumbnail

Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data. Why did Orca choose Apache Iceberg?