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Delivering Data Security Across Your Organization

Sisense

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Empowering Admins.

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Big Data Security: Protecting Your Valuable Assets

Astera

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from.

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What is a data fabric?

Tableau

Review quality and structural information on data and data sources to better monitor and curate for use. Data quality and lineage. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling. Data preparation.

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What is a data fabric?

Tableau

Review quality and structural information on data and data sources to better monitor and curate for use. Data quality and lineage. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling. Data preparation.

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How CTSI-Global Scales Their Embedded Analytics

Sisense

For starters, we have data in multiple data sources and we didn’t want to refactor our databases and existing workflows just to launch our analytics solution. Added to that, each customer also has slight variations in their data model (variations coming from their single-tenant database) that had to be incorporated into the solution.

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3 Ways Data Engineers Can Deal with Enterprise Data Pipelines

Sisense

We have often talked about the single-stack approach to business analytics, and with the complexity of enterprise data, this approach makes even more sense. . You want to make sure you have one place to bring in all your data and do your data modeling. Now Go Hybrid. This is the best of both worlds.

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Top 20 Data Warehouse Best Practices in 2024

Astera

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.