Remove 2018 Remove Data Management Remove Data Quality Remove Visualization
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Best Azure ETL Tools For 2024

Astera

Scalability: As businesses grow and generate more data, Azure ETL tools can easily handle the increased volume and complexity of data. Data Quality : Azure ETL tools offer built-in data cleansing and validation capabilities, ensuring that the data loaded into Azure Data Warehouse is accurate and reliable.

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Top 7 Data Validation Tools to Explore in 2023

Astera

In 2018, Samsung Securities incurred a cost of $105 billion when an employee issued 2 billion shares to 2,018 company employees instead of dividends totaling 2 billion won (South Korean currency). Let’s review the top 7 data validation tools to help you choose the solution that best suits your business needs.

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Top 9 Reverse ETL Tools and How to Choose The Right Tool for Your Organization

Astera

Modern data management relies heavily on ETL (extract, transform, load) procedures to help collect, process, and deliver data into an organization’s data warehouse. However, ETL is not the only technology that helps an enterprise leverage its data. Considering cloud-first data management?

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The Best Fivetran Alternatives in 2024

Astera

As far as the destinations are concerned, Fivetran supports data warehouses and databases, but it doesn’t support most data lakes. It also offers limited data transformation capabilities and that too through dbt core, which is an open source tool. Change data capture (CDC) for all relational databases in one platform.

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What is SSDP and Can it Truly Make Analytics Self-Serve?

ElegantJ BI

Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, these IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users.

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What is SSDP and Can it Truly Make Analytics Self-Serve?

ElegantJ BI

Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, these IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users.

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Automating Data Standardization – All You Need to Know

Astera

Modern companies heavily rely on data to drive their decision-making processes, but data consistency and quality can lead to inaccurate conclusions. Gartner’s 2018 report highlights that organizations incur an average cost of $15 million annually due to poor data quality. What Is Data Standardization?