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Data Modeling 101: OLTP data modeling, design, and normalization for the cloud

erwin

One must also capture the vast quantity of metadata around the OLTP business requirements that must be reflected. While talking to the business people about the business requirements, entities tend to be the plural nouns that they mention: insureds, beneficiaries, policies, terms, etc. What is an entity? Aren’t they just both people?

Cloud 98
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What is IT Asset Management (ITAM)? Definition, Benefits & Types

eSecurity Planet

These processes typically involve using specialized software tools and best practices to manage the entire lifecycle of an organization’s IT assets. See the Top IT Asset Management (ITAM) Tools for Security Why is ITAM Important? See the Best Network Monitoring Tools 6. Here’s more on ITAM’s benefits.

IT 103
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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. Metadata-Driven Automation in the BFSI Industry. The banking, financial services and insurance industry typically deals with higher data velocity and tighter regulations than most.

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Preparing for Ransomware: Are Backups Enough?

eSecurity Planet

For ransomware attacks where network data gets encrypted , backups are the definitive method for restoring network infrastructure. Like most software tools, backups work best when configured to meet the network’s needs, and controls and log activity are visible to administrators. Implementing the Optimal Backup Strategy.

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Data Mapping Tools: What Are the Key Differentiators

erwin

The need for data mapping tools in light of increasing volumes and varieties of data – as well as the velocity at which it must be processed – is growing. Data mapping tools have always been a key asset for any organization looking to leverage data for insights. analysis) are now adopting data mapping tools with compliance in mind.

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Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value

erwin

The need for an effective data modeling tool is more significant than ever. Data modeling is the upfront “measuring tool” that helps organizations reduce time and avoid guesswork in a low-cost environment. Evaluating a Data Modeling Tool – Key Features. There’s an expression: measure twice, cut once.

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Ready to Test: Introducing the Collibra Adaptive Data and Analytics Governance Test Drive

Collibra

Collibra Adaptive Data and Analytics Governance helps create a culture of trusted data that fuels better decision-making by: Bringing metadata into one central location via native integrations and APIs to important data sources, business applications, data science and BI tools so that data is available and easily accessible across your organization.