Remove Optimization Remove Publishing Remove Structured Data Remove Unstructured Data
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How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

Cloudera

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

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Do I Need a Data Catalog?

erwin

For example, before users can effectively and meaningfully engage with robust business intelligence (BI) platforms, they must have a way to ensure that the most relevant, important and valuable data set are included in analysis. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

Predicting forthcoming trends sets the stage for optimizing the benefits your organization takes from them. And the data is as granular as the patient lists at individual family doctors’ surgeries. Her debut novel, The Book of Jeremiah , was published in 2019. Using visualizations to make smarter decisions.

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Top 10 Key Features of BI Tools in 2020

FineReport

To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. Publish and share analysis content. Metadata management.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

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Discover Efficient Data Extraction Through Replication With Angles Enterprise for Oracle

Jet Global

This growth is caused, in part, by the increasing use of cloud platforms for data storage and processing. But it is also a result of the surge in multimedia content in cloud repositories that requires tools and methods for extracting insights from rich, unstructured data formats. The alternative to BICC is BI Publisher (BIP)​.

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What is a Data Pipeline?

Jet Global

ELT can simplify the data pipeline by reducing the number of steps and tools involved, but it may rely on the destination system’s ability to handle complex transformations effectively. In an ETL process, data transformations can be optimized before loading, which may improve performance for data-intensive transformations.