Remove Data Integration Remove Metadata Remove Optimization Remove Snapshot
article thumbnail

Monitoring Apache Iceberg metadata layer using AWS Lambda, AWS Glue, and AWS CloudWatch

AWS Big Data

Despite their advantages, traditional data lake architectures often grapple with challenges such as understanding deviations from the most optimal state of the table over time, identifying issues in data pipelines, and monitoring a large number of tables.

Metadata 117
article thumbnail

Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

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

How Amazon Devices scaled and optimized real-time demand and supply forecasts using serverless analytics

AWS Big Data

This introduces the need for both polling and pushing the data to access and analyze in near-real time. From an operational standpoint, we designed a new shared responsibility model for data ingestion using AWS Glue instead of internal services (REST APIs) designed on Amazon EC2 to extract the data.

article thumbnail

Introducing Apache Hudi support with AWS Glue crawlers

AWS Big Data

Hudi provides tables , transactions , efficient upserts and deletes , advanced indexes , streaming ingestion services , data clustering and compaction optimizations, and concurrency control , all while keeping your data in open source file formats. This post demonstrates how this new capability to crawl Hudi tables works.

Data Lake 104
article thumbnail

Apache HBase online migration to Amazon EMR

AWS Big Data

Running HBase on Amazon S3 has several added benefits, including lower costs, data durability, and easier scalability. And during HBase migration, you can export the snapshot files to S3 and use them for recovery. HBase provided by other cloud platforms doesn’t support snapshots.

Snapshot 100
article thumbnail

5 Reasons to Use Apache Iceberg on Cloudera Data Platform (CDP)

Cloudera

Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1: Apache Iceberg enables seamless integration between different streaming and processing engines while maintaining data integrity between them.

article thumbnail

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

AWS Big Data

Determining optimal table partitioning Determining optimal partitioning for each table is very important in order to optimize query performance and minimize the impact on teams querying the tables when partitioning changes. The following diagram illustrates the solution architecture. Orca addressed this in several ways.