Remove Accessibility Remove Analytics Application Remove ETL Tools Remove Events
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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 product can help collect events only? What is the impact on the business?

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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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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. Large user community.

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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. In 2020, to address this need, Apache Flink was added to the Cloudera Stream Processing offering.

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

Rockset

Out-of-order event streams. The batch stack is not built to handle this peculiarity of event streams. Real-time data streams typically power analytical or data applications whereas batch systems were built to power static dashboards. The best event streaming solutions are cloud-based, easy to manage, and cost-effective.