Tableau

DECEMBER 1, 2021

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Release v1.0

Tableau 145

Tableau ML ML Database 145

AWS Machine Learning Blog

MARCH 10, 2025

Founded in 2013, Octus, formerly Reorg, is the essential credit intelligence and data provider for the worlds leading buy side firms, investment banks, law firms and advisory firms. We had to migrate our AuthZ backend from Airbyte to native SQL replication so that it can support access management in near real time at scale.

AWS 111

AWS Database AI AI 111

Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning. He currently is working on Generative AI for data integration.

Database 158

Database AWS ETL SQL 158

Tableau

DECEMBER 1, 2021

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Release v1.0

Tableau 98

Tableau ML ML Database 98

phData

NOVEMBER 8, 2024

Partitioning and clustering features inherent to OTFs allow data to be stored in a manner that enhances query performance. 2013 - Apache Parquet and ORC These columnar storage formats were developed to optimize storage and speed within distributed storage and computing environments.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Pickl AI

FEBRUARY 23, 2025

Apache Hadoop Apache Hadoop is an open-source framework that allows for distributed storage and processing of large datasets across clusters of computers using simple programming models. Key Features : Scalability : Hadoop can handle petabytes of data by adding more nodes to the cluster. Statistics Kafka handles over 1.1

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52