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What is Splunk? Tools, Architecture, Advantages

Knowledge Hut

Splunk is a powerful data analysis tool that can be used to monitor and troubleshoot a variety of systems. Splunk can also be used to generate reports and dashboards to help visualize data. Conclusion As we have seen above, Splunk is a Big Data analysis tool that doubles up as a management tool.

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How To Future-Proof Your Data Pipelines

Ascend.io

BigQuery is a fully managed data warehouse that enables super-fast SQL queries using the processing power of Google’s infrastructure, providing scalability and flexibility for large-scale data analysis.

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4 Ways Better Access to Healthcare Data Can Improve Patient Outcomes

Snowflake

A modern data platform can help them access and collect data in one place, share it securely and seamlessly, scale to handle the large amounts of information coming in from different sources and power data analysis tools and applications.

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Is AWS Data Analytics Certification Worth It in 2023?

Knowledge Hut

Benefits of Data Analytics Certification Earning a Data Analytics Certification offers numerous advantages, making it a valuable career move for professionals. Career Advancement: Certified data analysts are more likely to land promotions and higher-paying roles, as their expertise is in high demand across industries.

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The Power of AI in Precisely Software: Accelerating Efficiency and Empowering Users

Precisely

” Solution: Intelligent solutions can mine metadata, analyze usage patterns and frequencies, and identify relationships among data elements – all through automation, with minimal human input. Problem: “We face challenges in manually classifying, cataloging, and organizing large volumes of data.”

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Why the Data Journey Manifesto?

DataKitchen

It’s Customer Journey for data analytic systems. “Data Journey” refers to the various stages of data moving from collection to use in data analysis tools and systems.

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Observability in Your Data Pipeline: A Practical Guide

Databand.ai

Set up a data storage solution: The collected metrics need to be stored in a database or a time-series platform that can scale as your data grows. Ensure the storage solution you choose can handle the volume and velocity of your data.