Remove Data Security Remove Monitoring Remove Real-time Data
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Azure Cloud Is Transforming the Way We Run Our Businesses in 2021

Smart Data Collective

On-premise data centers are highly susceptible to cyberattacks as well. Smart companies are overcoming these challenges by using Microsoft Azure to scale up or down and inspire efficient growth and data security amid the global crisis. Companies can then monitor their performance from this platform.

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Why Is Data Loss Prevention is Crucial for Business?

Smart Data Collective

Once DLP identifies a violation, it initiates remediation protocols through alerts and encryption, thus preventing any end-user from accidentally sharing valuable data or falling victim to a successful malicious attack. The primary approach of DLP software is to focus on monitoring and control of endpoint activities.

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The Rise of Wearable Tech in Healthcare

GAVS Technology

These devices, which range from fitness trackers to advanced sensors that monitor critical vitals like heart rate, blood glucose levels, and oxygen saturation, are revolutionizing how healthcare is delivered. The regulations focus on accuracy, data security, and patient safety.

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The 10 Best Airbyte Alternatives In 2024

Astera

Generative AI Support: Airbyte provides access to LLM frameworks and supports vector data to power generative AI applications. Real-time Data Replication: Airbyte supports both full refresh and incremental data synchronization. Custom Data Transformations: Users can create custom transformations through DBT or SQL.

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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. Integrate.io

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Scalable ETL Architectures: Handling Large Volumes of Data 

Astera

Data Loading: Design a reliable loading mechanism, create target data structures, optimize loading performance, and implement data partitioning strategies. Testing and Validation: Conduct comprehensive testing and validation at each stage, including data accuracy, completeness, consistency, and regression testing.

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How to Automate Credit Risk Assessment Framework Using ETL

Astera

Monitoring and Updating The IT team sets up monitoring tools that alert them if the system fails or produces unexpected results using Astera’s Monitoring and Alerting features. One study revealed that 40% of teams continually review compliance controls with automation, which can increase data security and compliance.