Astera

JUNE 14, 2023

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. The process enables businesses to unlock valuable information hidden within unstructured documents.

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Documentation Supply Chain Healthcare Logistics 52

Astera

JULY 18, 2023

Data wrangling tools are powerful solutions designed to simplify and automate the process of data preparation. They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency.

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Data Quality Visualization Data Visualization Documentation 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

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Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

MARCH 11, 2024

It eliminates the need for complex infrastructure management, resulting in streamlined operations. According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. What are Snowflake ETL Tools? Snowflake ETL tools are not a specific category of ETL tools.

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Data Warehouse Documentation Monitoring Data Quality 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. Documentation and Training : Adequate learning materials and troubleshooting guides are essential for mastering the tool and resolving potential issues.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

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Data Management Data Warehouse Data Governance Data Quality 52

Astera

MARCH 26, 2023

Common Data Management Challenges in the Insurance Industry Data trapped in Unstructured sources Managing the sheer volume of data scattered across various unstructured sources is one of the top data management challenges in the insurance industry. These PDFs may vary in format and layout.

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Documentation Data Quality Data Warehouse Data Management 52