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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Lambda systems try to accommodate the needs of both big data-focused data scientists as well as streaming-focused developers by separating data ingestion into two layers.

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Benchmarking Elasticsearch and Rockset: Rockset achieves up to 4X faster streaming data ingestion

Rockset

lower latency than Elasticsearch for streaming data ingestion. In this blog, we’ll walk through the benchmark framework, configuration and results. We’ll also delve under the hood of the two databases to better understand why their performance differs when it comes to search and analytics on high-velocity data streams.

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Why Modernizing the First Mile of the Data Pipeline Can Accelerate all Analytics

Cloudera

The ability to manage how the data flows and transforms during the first mile of the data pipeline and control the data distribution can accelerate the performance of all analytic applications. By modernizing the data flow, the enterprise got better insights into the business.

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Rockset Ushers in the New Era of Search and AI with a 30% Lower Price

Rockset

Microbatching : An option to microbatch ingestion based on the latency requirements of the use case. In this blog, we delve into each of these features and how they are giving users more cost controls for their search and AI applications. Microbatching Rockset is known for its low-latency streaming data ingestion and indexing.

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A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

Cloudera

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

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Elasticsearch or Rockset for Real-Time Analytics: Real-Time Ingestion and Indexing

Rockset

For example, instead of denormalizing the data, you could use a query engine that supports joins. This will avoid unnecessary processing during data ingestion and reduce the storage bloat due to redundant data. The Demands of Real-Time Analytics Real-time analytics applications have specific demands (i.e.,

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What is AWS Kinesis (Amazon Kinesis Data Streams)?

Edureka

The AWS training will prepare you to become a master of the cloud, storing, processing, and developing applications for the cloud data. Amazon AWS Kinesis makes it possible to process and analyze data from multiple sources in real-time. What can I do with Kinesis Data Streams? Table of Content What is Amazon Kinesis?

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