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Sisense’s Q2 Release: A Modern Data Experience Across the Analytics Continuum

Sisense

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Additional capabilities.

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Customer Success: Earning Trust Through Partnership

Sisense

We’ve taken what we’ve learned from our customers and combined it with our own understanding of how the data and analytics world is evolving to drive innovations that unlock new possibilities and help our clients future-proof their products and services. Customer success isn’t a team sport – it’s a company value.

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Unleash the Power of Advanced Analytics with the Sisense Q4 2019 Release

Sisense

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.

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AWS Databases Demystified & Their Use Cases by Brian H. Hough – WhizLabs Webinar

Whizlabs

WhizLabs had the honor of hosting a webinar with Brian H. His agenda of the webinar followed: Overview of AWS Databases. Brian says that he is really passionate about data and databases, and he sees “ data as the energy flowing through a home while databases are the electrical grid system.”. 4D: Data-driven Development.

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Staying On-Prem With Oracle EBS? We Have You Covered

Insight Software

Financial and operational reporting teams may need to rely on IT personnel for report customization, data modeling, or resolving technical issues. That’s where we use the analytics side of Angles, when we’re able to do multiple loads throughout the day and pull that data out of EBS into our data warehouse.

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Natively connect to trusted, unified customer data.

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Natively connect to trusted, unified customer data.