erwin

FEBRUARY 21, 2019

Coming into 2019, consumers are in control when it comes to retail. 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. In short, there’s money to be spent. Now, where are shoppers spending it?

Digital Transformation 69

Digital Transformation Risk Data Governance Sales 69

Cloudera

MAY 16, 2019

The traditional Data Warehouse ETL process has splintered into many smaller components. Ingest is now focused data capture and real-time trend analysis where possible. Once data is brought under control in a system like Cloudera, then the work of Data Preparation, Quality begins. Visit us at Informatica World 2019.

Analytics 40

Analytics Data Warehouse Data-driven Data Integration 40

Domino Data Lab

APRIL 3, 2019

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.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . QuerySurge – Continuously detect data issues in your delivery pipelines. Acquired by DataRobot June 2019).

Testing 307

Testing Machine Learning Consulting Data Quality 307

CDW Research Hub

JULY 22, 2022

The Sirius Data & Analytics Consulting team recently attended Snowflake Summit 2022 in Las Vegas; the first time the annual conference has been held in person since 2019. This year’s event was a departure from the much smaller inaugural Snowflake Summit 2019 held in San Francisco. Tag-Based Data Masking.

Data Lake 84

Data Lake Data Governance Consulting Machine Learning 84

Corinium

APRIL 25, 2019

It definitely depends on the type of data, no one method is always better than the other. For a large volume of structured data, for example, a customer master or data warehouse, where there are many stakeholders in your organization who need to see different subsets, tokenization is generally better. Governance 101.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Octopai

NOVEMBER 5, 2019

Is your data going somewhere? No, we’re not talking about databases going AWOL or data warehouses getting a little R&R at the beach. We’re talking about migrations from one system to another, or combining data from different systems into a single system or warehouse. but “May 9, 2019” in some other countries.

Machine Learning 44

Machine Learning Metadata Data Governance Data Warehouse 44

Alation

FEBRUARY 8, 2022

In contrast to this common, centralized approach, a data mesh architecture calls for responsibilities to be distributed to the people closest to the data. Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Alation

JANUARY 13, 2022

Data mesh forgoes technology edicts and instead argues for “decentralized data ownership” and the need to treat “data as a product”. Gartner on Data Fabric. Moreover, data catalogs play a central role in both data fabric and data mesh. Let’s turn our attention now to data mesh.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

Cloudera

DECEMBER 2, 2020

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.

Digital Transformation 66

Digital Transformation Cost-Benefit Data-driven Data Science 66

Domino Data Lab

JULY 2, 2019

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

Metadata Machine Learning Data Science Data-driven 105

Octopai

JULY 17, 2019

Well, that’s the problem – BI teams today tend to have to map out data lineage manually since they are usually dealing with multi-vendor environments. Data lineage visualization is an overview and a journey map of our data. How Metadata Fits Into Automated Data Lineage. Updated July 2019.

Metadata 53

Metadata Visualization Reporting Finance 53

Alation

FEBRUARY 13, 2020

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.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Sisense

NOVEMBER 5, 2021

Modernizing your company’s analytics requires a platform that can handle a wide array of data coming from multiple different locations, and make it all make sense together. Nagu Nambi , Product Dev and Innovation Director at Radial, leads their Data Warehouse and Analytics Products delivery programs. Learn more.

Analytics 52

Analytics Data-driven Reporting Interactive 52

Andrew White

JANUARY 11, 2021

See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Do you agree?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52