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Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

The Netflix TechBlog

And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. To avoid the ES query for the list of indices for every indexing request, we keep the list of indices in a distributed cache. Net, Ruby, Perl etc.).

Strategy 258
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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Java applications use a similar mechanism.). In-Memory Data Grids for Fast-Changing Data.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Java applications use a similar mechanism.). In-Memory Data Grids for Fast-Changing Data.

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HammerDB for Managers

HammerDB

The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings. When testing database performance there are 2 distinct workloads, transactional or OLTP and analytic (data warehouse, decision support) or OLAP.

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MariaDB vs MySQL: Key Differences and Use Cases

Percona

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. Efficient data processing and indexing, making it optimal for executing queries and handling large datasets.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Languages: Java. Nginx for disk based caching. Java used to power core file system code. We use different types of caching techniques depending on the problem statements. Hybrid Sync.

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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. This new feature will help them manage inventory better to deliver a good customer experience while gaining more business efficiency.

Database 167