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splunk

Data Lakes Explored: Benefits, Challenges, and Best Practices

Aug 3, 2023 By Tyler York In Splunk
A data lake is a data repository for terabytes or petabytes of raw data stored in its original format. The data can originate from a variety of data sources: IoT and sensor data, a simple file, or a binary large object (BLOB) such as a video, audio, image or multimedia file. Any manipulation of the data — to put it into a data pipeline and make it usable — is done when the data is extracted from the data lake.
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influxdata

Optimize Equipment with Data-Driven Analytics

Aug 2, 2023 By Jessica Wachtel In InfluxData

We want machines in good working order, making products of superior quality. This isn’t news. But what is newsworthy is that routine maintenance can still lead to more downtime than necessary. Not all maintenance programs are created equally. Keeping capital equipment running doesn’t exist inside a vacuum of chance. Outside the fraction of unavoidable catastrophes, there’s much power in the decision-making process.

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opsmatters

Data Observability's Impact on Business Decisions and Strategies

Aug 1, 2023 By OpsMatters In OpsMatters
In today's data-driven world, businesses rely heavily on data to make important decisions and formulate strategies. However, one crucial element is often overlooked - data observability. Observing and understanding the behavior and performance of data systems and applications is vital to making accurate and informed decisions. In this blog post, Dennis Bonnen will explore the impact of data observability on business decisions and strategies.
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splunk

Pipeline Efficiency: Best Practices for Optimizing your Data Pipeline

Aug 1, 2023 By Kayly Lange In Splunk
Data pipelines are the foundational support to any business analytics project. They are growing more critical than ever as companies are leaning on their insights to drive their business: 54% of enterprises said it was vital to their future business strategies. Data pipelines play a crucial role as they perform calculations and transformations used by analysts, data scientists, and business intelligence teams.
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