Ontotext

NOVEMBER 23, 2023

Work on it began in 2015 and achieved W3C Recommendation status in mid-2017. While these provide no instructions to a SHACL engine, the use of non-validating characteristics such as sh:name and sh:description can add metadata to your shapes that make them easier to maintain as they scale up. As far as standards go, SHACL is young.

Data Quality 69

Data Quality Reporting Metadata IT 69

Alation

DECEMBER 15, 2022

December 2012: Alation forms and goes to work creating the first enterprise data catalog. Later, in its inaugural report on data catalogs, Forrester Research recognizes that “Alation started the MLDC trend.”. January 2015: Alation acquires its first customer. April 2016: Tesco Group becomes first customer outside North America.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

BI-Survey

MARCH 23, 2023

This is intended to support and simplify one of the most challenging exercises in the use of business software: breaking down barriers and creating user acceptance, motivating knowledge sharing and thus supporting data democratization. The company DataGalaxy was founded in 2015 in Lyon, France, by Lazhar Sellami and Sébastien Thomas.

Metadata 52

Metadata Marketing Data Quality Machine Learning 52

Octopai

JANUARY 19, 2021

Octopai can fully map the BI landscape and trace metadata movement in a mixed environment including complex multi-vendor landscapes. Octopai’s cloud-based offerings hasten data delivery and allow full automation to dramatically accelerate the entire BI data lifecycle.

Metadata 52

Metadata ROI Optimization Data Quality 52

AWS Big Data

FEBRUARY 1, 2023

We also used AWS Lambda for data processing. To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

JUNE 6, 2023

Since we started exporting GA tracking data to BigQuery in 2015 the amount of data tracked and stored has grown 70x (logical bytes) and is >3TB in total. Our solution needs not only be able to ingest new data but also backfill historical data from the last 7 years.

Analytics 55

Analytics Data Lake Testing Optimization 55

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Next, rather than just being the province of Data Scientists, there were moves to use Data Lakes to support general Data Discovery and even business Reporting and Analytics as well. This required additional investments in metadata.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63