Analysts Corner
JUNE 18, 2023
In today’s data-driven world, organizations increasingly rely on large volumes of data from various sources to make informed decisions. This article will provide an in-depth and up-to-date comparison of ETL and ELT, their advantages and disadvantages, and guidance for choosing the right data integration strategy in 2023.
Astera
DECEMBER 22, 2022
Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Best Practices to Build Your Data Warehouse .
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Astera
SEPTEMBER 4, 2023
This article navigates through the top 7 data replication software available in the market and explains their pros and cons so you can choose the right one. The Importance of Data Replication Software Data replication involves creating and maintaining multiple copies of crucial data across different systems or locations.
Business Analysis Knowledge Share
OCTOBER 24, 2023
Data Warehousing is the process of collecting, storing, and managing data from various sources into a central repository. This repository, often referred to as a data warehouse , is specifically designed for query and analysis. Data Sources Data Warehouses collect data from diverse sources within an organization.
Astera
OCTOBER 10, 2023
Data Governance: Data mapping tools provide features for data governance, including version control and data quality monitoring. These features help businesses maintain data integrity, track data changes, and ensure compliance with data governance policies and regulations. A mapping editor.
Astera
AUGUST 8, 2023
While data volume is increasing at an unprecedented rate today, more data doesnt always translate into better insights. What matters is how accurate, complete and reliable that data. Pre-built Transformations: It offers pre-built transformations like join, union, merge, data quality rules, etc.,
BizAcuity
APRIL 14, 2022
Otherwise, it will result in poor data quality and as previously mentioned, cost over 3 trillion dollars for an entire nation. Ensuring rich data quality, maximum security & governance, maintenance, efficiency in storage and analysis comes under the umbrella term of Data Management. Unstructured Data Management.
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