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Breaking down Business Intelligence

BizAcuity

Cutting down latency or delay is now one of the most crucial elements of business intelligence strategy in present times. As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics. Data mining.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

AI-powered ETL tools can automate repetitive tasks, optimize performance, and reduce the potential for human error. By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations.

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 Top 5 Data Preparation Tools In 2023

Astera

While all data transformation solutions can generate flat files in CSV or similar formats, the most efficient data prep implementations will also easily integrate with your other productivity business intelligence (BI) tools. Manual export and import steps in a system can add complexity to your data pipeline.

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How finding leverage helped a BI team bolster its business

Domo

Even though we had a data warehouse in place, our data was siloed in many ways. We couldn’t easily blend data to get a full analysis, and we didn’t have the flexibility to quickly pull in new data. And some of the data in the warehouse was days old, which made it difficult to see the full picture.”

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How to Build a Data Pipeline: A Step-by-Step Guide

Astera

Therefore, it is imperative for your organization to invest in appropriate tools and technologies to streamline the process of building a data pipeline. This blog details how to build a data pipeline effectively step by step, offering insights and best practices for a seamless and efficient development process.

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16 Best Business Intelligence Books To Get You Off the Ground With BI

Data Pine

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. One of the most intelligently crafted BI books on our list. click for book source**.

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Why You Need Cloud Data Integration for Analytics

Domo

To ensure harmony, here are some key points to consider as you are weighing cloud data integration for analytics: Act before governance issues compound. There are limits to data lake and data warehouse configurations, especially when these limitations scale due to company size and complexity within the organization.