Remove 2019 Remove Business Intelligence Remove Data Governance Remove Data Warehouse
article thumbnail

How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

article thumbnail

How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Digital Transformation In Retail: The Retail Apocalypse

erwin

Coming into 2019, consumers are in control when it comes to retail. says retailers need to achieve a level of what he calls “data intelligence.” Given all of the data that flows into the modern retailer, this level of data intelligence requires a holistic, mature and well-planned data governance strategy.

article thumbnail

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

article thumbnail

2020 Data Impact Award Winner Spotlight: Telkomsel

Cloudera

With access to vast amounts of data from its customer base, the company knew its ability to mine this data would be a key driver of positive transformation. However, it was locked into an expensive legacy data warehouse which resulted in high operational costs and the inability to perform exploratory analytics.

article thumbnail

Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

See also: Caroline Lemieux’s slides for that NeurIPS talk, and Rohan Bavishi’s video from the RISE Summer Retreat 2019. The authors of AutoPandas observed that: The APIs for popular data science packages tend to have relatively steep learning curves. Program Synthesis 101 ” – Alexander Vidiborskiy (2019-01-20). With me so far?

Metadata 105
article thumbnail

The year of the data catalog

Alation

Industry leaders like General Electric, Munich Re and Pfizer are turning to self-service analytics and modern data governance. They are leveraging data catalogs as a foundation to automatically analyze technical and business metadata, at speed and scale. “By Ventana Research’s 2018 Digital Innovation Award for Big Data.