Remove Big Data Remove Data Analytics Remove Data Warehouse Remove Digital Transformation
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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. Big data and data warehousing.

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The Best Data Management Tools For Small Businesses

Smart Data Collective

Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. Data transformation.

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How to Build an Outcomes-Focused Data Strategy

Sisense

Money never sleeps and neither does your data. In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data.

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Consolidation of the Database Market and What it Means for Your Data Warehouse

Actian

Why is this important you might ask, and what does it have to do with my data warehouse? Why Consolidation of the Database Market is Such a Big Deal. Customers have realized that just like digital transformation is a journey and the shift to the cloud is a journey, the evolution of databases is a journey too.

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Understanding Structured and Unstructured Data

Sisense

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

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Is Your Data Making a Difference?

Actian

In this case, actionable business insights are the finished product you are seeking to provide to your data consumers. The refinement process starts with the ingestion and aggregation of data from each of the source systems. This is often done in some sort of data warehouse. Big-Data and Real-Time insights.

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Robotic Process Automation is Hot – Integration is Not!

Actian

Still, the underlying premise is the same – in a post-digital transformation environment, companies need the ability to leverage a wide variety of technology components to support their business: IoT, cloud services, mobile devices, SaaS software, and traditional IT systems. RPA vendors also have a data challenge.