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The 8 Best Hevo Data Alternatives to Build ELT/ETL Data Pipelines in 2025

Astera

Key Features No-Code Data Pipeline: With Hevo Data, users can set up data pipelines without the need for coding skills, which reduces reliance on technical resources. Wide Source Integration: The platform supports connections to over 150 data sources. Book a demo today to see what Astera is all about. 5 (G2) |8.9/10

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Improving Data Accessibility with Internal Data Sharing

Astera

while data sharing is crucial for organizations, it does not come without implementational challenge Create a Centralized Data Repository For Seamless Data Sharing with Astera Centerprise View Demo Challenges of Intra-Enterprise Data sharing Data Security: A primary challenge of sharing data across organizations is data security.

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CDC for ETL Process Optimization in Finance Industry

Astera

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. daily or weekly).

Finance 52
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How to Automate Credit Risk Assessment Framework Using ETL

Astera

Astera provides a range of data quality and data transformation functions, such as cleansing, validating, enriching, converting, encoding, normalizing, and creating new features. Ultimately, Astera empowers BankX to quickly handle large and complex datasets and customers and meet the growing and changing data and business demands.

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Data Quality Tools: Top 8 for 2023 & Beyond

Astera

Astera offers a comprehensive set of data quality features to ensure data accuracy, reliability, and completeness. You can visualize and explore data intuitively for accuracy and consistency. Data Security: With its data security features, IBM InfoSphere Information Server ensures your data remains safe and protected.

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Automated Credit Risk Assessment: How ETL Is Unlocking Better Investments

Astera

Astera provides a range of data quality and data transformation functions, such as cleansing, validating, enriching, converting, encoding, normalizing, and creating custom transformations. One study revealed that 40% of teams continually review compliance controls with automation, which can increase data security and compliance.

Banking 52
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Top 7 Data Management Challenges for Tech Firms and Solutions

Astera

This information can help salespeople design more personalized and relevant demos. Similarly, a tech company can extract unstructured data from PDF documents, including purchase orders and feedback forms, to derive meaningful insights about procurement and sales departments. Challenge#6: Ensuring data security.