Cloudera

NOVEMBER 1, 2022

These systems can pose operational risks, including rising costs and the inability to meet mission requirements. . Mission use case: increasing visibility and mitigating supply chain risk . The source and availability of every material and part across each branch is an opportunity for risk.

Cost-Benefit 84

Cost-Benefit Data Architecture Risk IoT 84

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

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 83

Data Processing IoT Cost-Benefit Digital Transformation 83

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. For this reason, Snowflake is often the cloud-native data warehouse of choice.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

Cloudera

APRIL 13, 2021

Organizations from across the globe and virtually every industry have used CDP to generate new revenue streams, decrease operational costs, and mitigate risks. Disparate data silos made real-time streaming analytics, data science, and predictive modeling nearly impossible.

Enterprise 74

Enterprise Cost-Benefit Data Warehouse Data Architecture 74

Cloudera

AUGUST 9, 2022

Data platforms are no longer skunkworks projects or science experiments. As customers import their mainframe and legacy data warehouse workloads, there is an expectation on the platform that it can meet, if not exceed, the resilience of the prior system and its associated dependencies. Why disaster recovery?

Data Lake 75

Data Lake Data Warehouse Data-driven IoT 75

Alation

APRIL 14, 2022

Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. Edge analytics for IoT, for example, captures, digests, curates, and even pulls data from other, different application platforms and live connections to partners (previously a snail-like exercise using obsolete processes like EDI).

Metadata 59

Metadata Data Governance Modeling Data-driven 59