Data Architecture Data Lake Digital Transformation Technology 
CIO Business Intelligence
APRIL 24, 2024
It’s universally accepted that to thrive, enterprises must embrace transformation through technology. CIOs are at the forefront of this as they help shepherd their organizations through digitalization. In large companies, the digital journey is well underway, especially in the digital, media, and finance sectors.
Data Virtualization
OCTOBER 5, 2022
Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.
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Cloudera
SEPTEMBER 6, 2022
But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. . Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . The challenges.
BI-Survey
NOVEMBER 23, 2021
Thus, alternative data architecture concepts have emerged, such as the data lake and the data lakehouse. Which data architecture is right for the data-driven enterprise remains a subject of ongoing debate. Data black holes: the high cost of supposed flexibility. BARC RECOMMENDATION.
IBM Big Data Hub
AUGUST 4, 2023
Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.
CIO Business Intelligence
NOVEMBER 25, 2022
Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.
Ontotext
FEBRUARY 26, 2024
They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses. But until they connect the dots across their data, they will stay in this stage. This is where graph technologies come in. We call this the “bad data tax.”
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