Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is ETL?

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

OCTOBER 10, 2023

Data mapping is the process of defining how data elements in one system or format correspond to those in another. Data mapping tools have emerged as a powerful solution to help organizations make sense of their data, facilitating data integration , improving data quality, and enhancing decision-making processes.

IBM Maintenance 52

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Astera

JANUARY 25, 2024

So, in simple terms, reverse ETL helps businesses get the right data to the right tools at the right time, making their work easier and more productive. Primary Focus Integrating, cleansing, and storing data for reporting and analysis. Use Cases Data warehousing, business intelligence, reporting, and data analytics.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

JUNE 14, 2023

Analytics layer: This is where all the consolidated data is stored for further analysis, reporting, and visualization. This layer typically includes tools for data warehousing, data mining, and business intelligence, as well as advanced analytics and machine learning capabilities.

Data Mining 52

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Data Pine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144