CIO Business Intelligence

JANUARY 17, 2024

The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis.

Digital Transformation 119

Digital Transformation Dashboards Reporting Data Science 119

Cloudera

AUGUST 8, 2022

With Iceberg in CDP, you can benefit from the following key features: CDE and CDW support Apache Iceberg: Run queries in CDE and CDW following Spark ETL and Impala business intelligence patterns, respectively. SDX Integration (Ranger): Manage access to Iceberg tables through Apache Ranger. 8 2001 5967780. Time travel.

Snapshot 87

Snapshot Data Warehouse Machine Learning Cost-Benefit 87

CIO Business Intelligence

FEBRUARY 19, 2024

The interns were placed in roles aligned to their education and professional interests, Harrison says, adding that NCDIT managers designed each internship so that the students would have “an opportunity to gain work experience and apply what they’re learning.” Shanmugham, a database and middleware manager at NCDIT.

IT 137

IT Consulting Reporting Software 137

Jen Stirrup

APRIL 2, 2019

Research evidence has shown that consumers interact with advertising in complex ways, especially since we have such short attention spans (Weilbacher, 2003). After all, the Internet can break a business very quickly! After all, the Internet can break a business very quickly! Journal of Marketing Management, vol.

Marketing 59

Marketing Advertising Data-driven Strategy 59

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 101

Management Metadata Analytics Dashboards 101

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Changes in system architecture get reflected as substantial changes in how we collect, use, and manage data, and therefore become drivers for DG. Granted, I’m no expert in DG.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 22, 2019

It involved a lot of interesting work on something new that was data management. I recently did “ Fifty Years of Data Management and Beyond ” which looks at roughly the same time period. Then in the bottom tier, you had your data management, your back office, right? I definitely recommend Chris as well.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109