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Why Modernizing the First Mile of the Data Pipeline Can Accelerate all Analytics

Cloudera

Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. What is the impact on the business?

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What is Data Transformation?

Grouparoo

Loading is the process of warehousing the data in an accessible location. The difference here is that warehoused data is in its raw form, with the transformation only performed on-demand following information access. Finally, where access requires small subsets of the data, this reduces the transformation processing overhead.

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Top Business Intelligence Platforms of 2024 [with Features]

Knowledge Hut

Given its status as one of the complete all-in-one analytics and BI systems available currently, the platform requires some getting accustomed to. Some key features include business intelligence, enterprise planning, and analytics application. You will also need an ETL tool to transport data between each tier.

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Turning Streams Into Data Products

Cloudera

For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. Moving beyond traditional data-at-rest analytics: next generation stream processing with Apache Flink. Conclusion. As Laila so accurately put it, “without context, streaming data is useless.”

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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Another security measure is an audit log to track access. Kafka vs ETL.

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Understanding Zero-Code Development Life Cycle in Matillion

phData: Data Engineering

The next-generation Matillion Designer SaaS offering balances accessibility with a very minor learning curve on Git. For Matillion ETL, the Git integration requires a stronger understanding of the workflows and systems to effectively manage a larger team. What is Zero-Code Development Life Cycle (ZDLC)?

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The Rise of Streaming Data and the Modern Real-Time Data Stack

Rockset

Real-time data streams typically power analytical or data applications whereas batch systems were built to power static dashboards. This fantastic piece about the anatomy of analytical applications defined a data app as an end-user facing application that natively includes large-scale, aggregate analysis of data in its functionality.