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Evaluating Data Lakes vs. Data Warehouses

Dataversity

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

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Avoid These Mistakes on Your Data Warehouse and BI Projects

Dataversity

Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].

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Top 20 Data Warehouse Best Practices in 2024

Astera

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

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Unlocking the Value of Data: A Comprehensive Guide to Data Profiling

Analysts Corner

The Process of Data Profiling The data profiling process typically involves the following steps: 1. Data Collection: The first step is to gather data from various sources. This could include databases, data warehouses, file systems, or external data feeds.

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What is an Operational Data Warehouse and why is it the next big thing?

Actian

Data warehouses have been around for decades, and have established themselves as reliable reporting systems with consistent value. They have also evolved into data marts, specialized appliances and EDW variants to meet emerging needs, but all of these solutions have their drawbacks when it comes to meeting today’s business demands.

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What is Augmented Data Preparation and Why is it Important?

ElegantJ BI

The average business user does not have a full grasp of Advanced Data Discovery or Data Preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. What is Augmented Data Preparation?

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What is Augmented Data Preparation and Why is it Important?

ElegantJ BI

The average business user does not have a full grasp of Advanced Data Discovery or Data Preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. What is Augmented Data Preparation?