Cloudera

NOVEMBER 18, 2020

Experian sifts through hundreds of millions of records daily to serve both consumers and businesses with vital credit score, report, and credit comparisons. To ensure maximum momentum and flawless service the Experian BIS Data Enrichment team decided to use the power of big data by utilizing Cloudera’s Data Science Workbench.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. Model building. Model training . Model deployment & serving.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Peter James Thomas

MAY 3, 2019

In this second area we have disciplines such as Analytics and Data Science. The objective here is to use a variety of techniques to tease out findings from available data (both internal and external) that go beyond the explicit purpose for which it was captured. Data Operating Model / Organisation Design.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Andrew White

MARCH 22, 2019

I jest here; what I mean to say is that economics and rational, smart models should trump perfectly designed ideas. This ties into the failure of data governance and MDM (see first item in this list). This ties into the failure of data governance and MDM (see first item in this list). Economics over architecture.

Analytics 68

Analytics Metadata Data Governance Management 68

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Peter James Thomas

AUGUST 12, 2018

In our modern architectures, replete with web-services, APIs, cloud-based components and the quasi-instantaneous transmission of new transactions, it is perhaps not surprising that occasionally some data gets lost in translation [5] along the way. A model may for example spit out a figure like £12.4 The model is not saying that £12.4

Metrics 49

Metrics Statistics Data Quality Measurement 49

CIO Business Intelligence

MARCH 9, 2022

However, they do contain effective data management, organization, and integrity capabilities. As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Warehouse, data lake convergence. Meet the data lakehouse.

Data Lake 99

Data Lake Unstructured Data Data Warehouse Data Quality 99