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Introducing Vector Search on Rockset: How to run semantic search with OpenAI and Rockset

Rockset

To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results. In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents. Why use vector search?

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The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. See it in action and schedule a demo with one of our data experts today.

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The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. See it in action and schedule a demo with one of our data experts today.

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The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. See it in action and schedule a demo with one of our data experts today.

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Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

We continuously hear data professionals describe the advantage of the Snowflake platform as “it just works.” Snowpipe and other features makes Snowflake’s inclusion in this top data lake vendors list a no-brainer. The added structure and governance from Dataplex makes BigLake an intriguing data lakehouse option as well.

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The Good and the Bad of Databricks Lakehouse Platform

AltexSoft

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. Besides that, it’s fully compatible with various data ingestion and ETL tools. Let’s see what exactly Databricks has to offer.

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AML: Past, Present and Future – Part III

Cloudera

It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data. It also supports a number of frameworks that can process data in parallel, in batch or in streams, in a variety of languages. Dynamic data ingest and processing system for AML data.

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