BI Cubed: Data Lineage on OLAP Anyone?

Octopai

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. Basically, data lineage is a process of researching the genealogy of the data, where it comes from and how it all fits into context.

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Financial Intelligence vs. Business Intelligence: What’s the Difference?

Jet Global

CRM software has gone through a similar transformation, starting with sales force automation, and more recently evolving into a new breed of products that support digital marketing campaigns through email, social media, and online advertising. Analytics and BI Webinars

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What Role Does Data Mining Play for Business Intelligence?

Jet Global

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Compare the Top 7 Microsoft Dynamics Business Intelligence and Analytics Platforms. Analytics and BI

The Enterprise AI Revolution Starts with BI

Jet Global

Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

What’s the Difference Between Business Intelligence and Business Analytics?

Sisense

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean?

What Will Enterprise Data Lineage Look Like in 2020?

Octopai

Data lineage management, once a time-consuming process of manual data tracking used only in times of crisis, has been transformed by automation into an essential tool for making informed business decisions. The last decade has been an important one for enterprise data lineage.

The Future of AI in the Enterprise

Jet Global

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Analytics and BI

How to Build a Performant Data Warehouse in Redshift

Sisense

Redshift, like BigQuery and Snowflake, is a cloud-based distributed multi-parallel processing (MPP) database, built for big data sets and complex analytical workflows. WLM can be thought of as “how many processes can be managed by a cluster at one time.”

SQL Analytics at Scale: Selecting the Right SQL Engine for the Right Job

Cloudera

Live Long And Process” or “Long Latency Analytics Processing”, also known as LLAP, is an execution engine under Hive that supports long-running processes by leveraging the same resources for caching and processing. We are all hungry for data.

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