Domo

MAY 30, 2024

By establishing a strong foundation, improving your data integrity and security, and fostering a data-quality culture, you can make sure your data is as ready for AI as you are. You could also establish key performance indicators (KPIs) related to data quality and integrate them into performance evaluations.

Data Quality 105

Data Quality Data Governance Government Data Security 105

Astera

SEPTEMBER 25, 2024

Top 10 Airbyte Alternatives in 2024 Astera Astera is an AI-powered no-code data management solution. It’s end-to-end – meaning users can orchestrate the entire data pipeline within one platform. Focus on data security with certifications, private networks, column hashing, etc. Pros Real-time data quality monitoring.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Astera

JANUARY 18, 2024

So, in case your data requires extensive transformation or cleaning, Fivetran is not the ideal solution. Fivetran might be a viable solution if your data is already in good shape, and you need to leverage the computing power of the destination system. Change data capture (CDC) for all relational databases in one platform.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Astera

MAY 6, 2024

To assist users in navigating this choice, the following guide outlines the essential considerations for choosing a data mining tool that aligns with their specific needs: 1. Data quality is a priority for Astera. Advanced Data Transformation : Offers a vast library of transformations for preparing analysis-ready data.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MARCH 11, 2024

Transformation Capabilities: Some tools offer powerful transformation capabilities, including visual data mapping and transformation logic, which can be more intuitive than coding SQL transformations manually. Transform and shape your data according to your business needs using pre-built transformations and functions without writing any code.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

AUGUST 16, 2024

Let’s look at some reasons data migration projects fail: Risk of Data Integrity Loss Data quality maintenance is crucial to a smooth data migration process, especially when dealing with large volumes of data. Furthermore, 38% of companies experience delayed migration efforts by over a quarter.

Planning 52

Planning Digital Transformation Government Cloud Computing 52

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144