Remove 2000 Remove Data Warehouse Remove Reporting
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How to Build a Performant Data Warehouse in Redshift

Sisense

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Inversely though, if your cluster is used for production reporting (i.e. So let’s dive in! OLTP vs OLAP. Cluster Performance Configurations.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

In the 1970s, data was confined to mainframes and primitive databases. Reports required a formal request of the few who could access that data. The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos.

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Jet vs. Data Entities in Dynamics 365 Finance & Operations

Jet Global

Built from the bones of Dynamics AX, the cloud-based Dynamics 365 Finance & Operations (D365FO) has introduced some new out-of-the-box reporting and analytical capabilities to customers. In this blog post, we are going to cover Data Entities. Many data entities are aimed at specific areas for reporting. Reference (Ex.

Finance 73
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Data Lineage Examples for Healthcare Companies

Octopai

2000 years ago, HIPAA could be summed up in four words: keep your mouth shut. The data capture layer includes EHRs, mobile devices, wearables and data entry from clinical trials. Data is then stored in enterprise data warehouses, data aggregators, patient registries or portals and public records.

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Convergent Evolution

Peter James Thomas

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Once the output of Data Science began to be used to support business decisions, a need arose to consider how it could be audited and both data privacy and information security considerations also came to the fore. In Closing.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

In data-driven organizations, data is flowing. It is being aggregated from various transactional systems into data masters or data lakes, being analysed, being distributed to downstream users or even 3rd-parties, reported on, exported to Excel, attached to emails, you name it, data is being shared across silos.

Insurance 150
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The three certainties in life: death, taxes and GDPR

Cloudera

Organisations need to ensure that they can not only locate all relevant personal data about the individual, but also have the ability to extract or delete that data upon request and in a timely manner. When the world waited with bated breath for the clocks to tick over to 2000, very few computer failures were reported.