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Top Business Intelligence Platforms of 2024 [with Features]

Knowledge Hut

The strategic, tactical, and operational business decisions of a company are directly impacted by Business intelligence. BI encourages using historical data to promote fact-based decision-making instead of assumptions and intuition. What is Business Intelligence (BI)?

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Business Analytics Applications and Notable Use Cases

Edureka

As data becomes vital, so too is the role of business intelligence applications. This article will explore some business intelligence applications. It will show the need to integrate these tools into business strategies for lasting growth and success. What software is used for business analytics?

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog: Data Engineering

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

It has the key elements of fast ingest, fast storage, and immediate querying for BI purposes. These include stream processing/analytics, batch processing, tiered storage (i.e. In addition to understanding the attributes of an RTDW, it is useful to look at the types of applications that can be built within the RTDW category.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.

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Materialized Views in Hive for Iceberg Table Format

Cloudera

Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. Such a query pattern is quite common in BI queries. Note that the materialized view definition contains the ‘stored by iceberg’ clause.

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Five Ways to Run Analytics on MongoDB – Their Pros and Cons

Rockset

Let’s explore five ways to run MongoDB analytics, along with the pros and cons of each method. 1 – Query MongoDB Directly The first and most direct approach is to run your analytical queries directly against MongoDB. There are quite a few of these on the market, with each trying to enable business intelligence (BI) on MongoDB.

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