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Snowflake ETL Tools: Top 7 Options to Consider in 2024

Astera

Snowflake has restructured the data warehousing scenario with its cloud-based architecture. Businesses can easily scale their data storage and processing capabilities with this innovative approach. According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs.

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Top 10 Matillion Alternatives In 2024

Astera

Its core mission revolves around streamlining data integration and enhancing business intelligence. Matillion’s ETL solution emphasizes sturdy transformations and diverse connectivity options. Users benefit from ready-made connectors, community-driven ones, and the ability to craft their custom connectors.

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Analyze Data Faster with Google Cloud’s BigQuery Storage API

Sisense

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. We live in an era of Big Data.

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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0,

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The Change Data Capture (CDC) Guide for PostgreSQL

Astera

This article serves as a comprehensive guide to change data capture (CDC) in PostgreSQL, also known as Postgres. Its versatility allows for its usage both as a database and as a data warehouse when needed. It is ACID-compliant, highly secure, and capably handles processing faults, so you can count on data validity.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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What is a Data Catalog? Features, Best Practices, and Benefits

Astera

What is a Data Catalog? A data catalog is a central inventory of organizational data. It provides a comprehensive view of all data assets in an organization, including databases, tables, files, and data sources. Efficiently managing large amounts of information is crucial for companies to stay competitive.