Product Insights from the Dremio Blog
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Product Insights from the Dremio BlogArchitectural Analysis – Why Dremio Is Faster Than Any Presto
This blog post explains the architectural differences between Dremio and Presto and provides details on why Dremio achieves a high level of performance and infrastructure cost savings at any scale.
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Product Insights from the Dremio BlogDremio Benchmarking Methodology – How to Do It Yourself
This blog post describes the methodology used to execute performance and efficiency benchmarks of Dremio versus Presto distributions, shares the tabular results of the benchmark tests, and provides guidance and tools to conduct your own benchmark.
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Product Insights from the Dremio BlogAnnouncing Dremio 4.7
This month’s release delivers multiple performance-oriented features such as Arrow caching, the ability to scale out coordinator nodes, runtime filtering, AWS Edition improvements, and more!
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Product Insights from the Dremio BlogAnnouncing Arrow 1.0
The Apache Arrow team today announced the 1.0.0 release. This covers over 3 months of development work and includes 810 resolved issues from 100 distinct contributors.
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Product Insights from the Dremio BlogDremio 4.6 Feature Summary
Dremio 4.6 delivers enhanced BI tool integrations, hourly paid enterprise edition features and much more!
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Product Insights from the Dremio BlogAnnouncing Dremio 4.5
Dremio 4.5 delivers faster metadata performance, simplified query troubleshooting and much more!
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Product Insights from the Dremio BlogUsing Kafka as a Temporary Data Store in The Data Lake
In this article, we explore how Kafka can be used for the storing of data and as a data loss prevention tool for streaming applications.
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Product Insights from the Dremio BlogCollecting App Metrics in your cloud data lake with Kafka
In this article, we will demonstrate how Kafka can be used to collect metrics on data lake storage like Amazon S3 from a web application.
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Product Insights from the Dremio BlogBringing the Economics of Cloud Data Lakes to Everyone
Cloud data lakes are much more scalable and cost-efficient than data warehouses, but to become pervasive and applicable to both technical and non-technical users, new approaches are required.
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Product Insights from the Dremio BlogCOVID-19 Stalled English Football – What will be the outcome?
The current English Football season has been temporarily interrupted by COVID-19, in this article we analyze the current data to predict the possible champion.
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Product Insights from the Dremio BlogPyDremio The Unofficial Python Client for Dremio REST API
PyDremio - This project caters to devops/admins with a pythonic abstraction of all of Dremio’s REST endpoints, making scripting things like production deployments, security management, and audit easier.
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Product Insights from the Dremio BlogHow To Secure Your Data Lake
Data lake security is a crucial part to your business data integrity. We will cover everything you need to know on how to implement, maintain, and leverage security features for your data.
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Product Insights from the Dremio BlogAnalyze Historical Data Using Temporal Tables
In this post, I’ll describe how you can use Dremio with temporal tables to read historical data.
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Product Insights from the Dremio BlogQuery Your Data Lake Directly From Slack
Learn how to use Slack bots and Dremio to query data directly from your data lake.
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Product Insights from the Dremio BlogAccelerate Relational Databases with the Data Lake Engine
In part I of this two-part series blog, we walk you through an example offloading Oracle TPC-DS sample queries from an existing Oracle overloaded database to both improve query response times and number of concurrent queries.