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. Data ingestion must be performant to handle large amounts of data.,

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

Cloudera

JANUARY 30, 2023

Gartner defines dark data as “The information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetizing).”

IoT 83

IoT Data Architecture Data Lake Machine Learning 83

Cloudera

AUGUST 9, 2022

Disaster recovery and business-continuity planning is primarily focused on managing and reducing risk. Standby systems can be designed to meet storage requirements during typical periods with burstable compute for failover scenarios using new features such as Data Lake Scaling. Why disaster recovery? Conclusion.

Data Lake 78

Data Lake Data Warehouse Data-driven IoT 78

Alation

APRIL 14, 2022

For example, data science always consumes “historical” data, and there is no guarantee that the semantics of older datasets are the same, even if their names are unchanged. Pushing data to a data lake and assuming it is ready for use is shortsighted. It’s not a simple definition.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

CIO Business Intelligence

MAY 12, 2022

In the hyper-competitive telecommunications market, companies that don’t achieve these superlatives risk being left in the dust by competitors. The biggest challenge for any big enterprise is organizing the data that has organically grown across the organization over the last several years. So, real-time data has become air.

Testing 92

Testing Data Lake Advertising Marketing 92