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Best Practices for Building the Data Pipelines

DZone

In my previous articleData Validation to Improve Data Quality ’, I shared the importance of data quality and a checklist of validation rules to achieve it. Those validation rules alone may not guarantee the best data quality. Most pipelines are automated and run on a fixed schedule.

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Effective Log Data Analysis With Amazon CloudWatch: Harnessing Machine Learning

DZone

In today's cloud computing world, all types of logging data are extremely valuable. Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. This innovative service is transforming the way organizations handle their log data.

Analytics 269
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Getting Started With NCache Java Edition (Using Docker)

DZone

It's a key piece of technology for both developers and businesses who want to make sure their apps can give users fast access to data and a smooth experience. This article is made especially for beginners to make the ideas and steps of adding NCache to your Java applications clear and easy to understand.

Java 310
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Data Observability: Better Insights Through Reliable Data Practices

DZone

This is an article from DZone's 2023 Data Pipelines Trend Report. For more: Read the Report Organizations today rely on data to make decisions, innovate, and stay competitive. That data must be reliable and trustworthy to be useful.

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Data Integration in Real-Time Systems

DZone

In the rapidly evolving digital landscape, the role of data has shifted from being merely a byproduct of business to becoming its lifeblood. With businesses constantly in the race to stay ahead, the process of integrating this data becomes crucial. However, it's no longer enough to assimilate data in isolated, batch-oriented processes.

Systems 281
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Overcoming Challenges and Best Practices for Data Migration From On-Premise to Cloud

DZone

Data migration is the process of moving data from one location to another, which is an essential aspect of cloud migration. Data migration involves transferring data from on-premise storage to the cloud. With the rapid adoption of cloud computing , businesses are moving their IT infrastructure to the cloud.

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Real-Time Analytics

DZone

This is an article from DZone's 2023 Data Pipelines Trend Report. For more: Read the Report We live in an era of rapid data generation from countless sources, including sensors, databases, cloud, devices, and more. Stream processing is used to query a continuous stream of data and immediately process events in that stream.

Analytics 286