CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Data Architecture 110

Data Architecture Data Integration IoT Strategy 110

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

BizAcuity

APRIL 1, 2023

Introduction In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. Using minutes- and seconds-old data for real-time personalization can significantly grow user engagement.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

datapine

AUGUST 20, 2019

However, due to the presence of 4 components, deriving actionable insights from Big data can be daunting. Here are the four parameters of Big data: Volume: Volume is the size of data, measured in GB, TB and Exabytes. Big data is increasing in terms of volume and heaps of data is generating at astronomical rates.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100