Analysts Corner
JUNE 18, 2023
In ELT, raw data is loaded directly into the target system, and the transformation process occurs after the data has been loaded. Advantages of ETL Data Quality: ETL processes typically involve data validation and cleansing, ensuring high data quality and reducing the risk of errors in analysis.
Astera
OCTOBER 19, 2023
Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. Despite intensive regulations, data breaches continue to result in significant financial losses for organizations every year. According to IBM research , in 2022, organizations lost an average of $4.35
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Astera
JANUARY 19, 2024
Astera Astera is an enterprise-grade unified end-to-end data management platform that enables organizations to build automated data pipelines easily in a no-code environment. Key Features: Unified platform for AI-powered data extraction, preparation, integration, warehousing, edi mapping and processing, and API lifecycle management.
Astera
AUGUST 8, 2023
What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.
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.
Astera
FEBRUARY 9, 2024
Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for any data integration project, especially for fraud detection.
Astera
DECEMBER 28, 2023
Its implementation requires significant investments in hardware and infrastructure, making the overall total cost of ownership (TCO) much higher—even in the long run. Transform and shape your data the way your business needs it using pre-built transformations and functions. Offers built-in transformations, including unions and joins.
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