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Dremio NewsWhat’s New in Dremio: New Gen AI Data Descriptions and a Unified Path to Iceberg with Dremio v24.3 and Dremio Cloud.
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Open Data Architecture
The Why and How of Using Apache Iceberg on Databricks
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Product
Table-Driven Access Policies Using Subqueries
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Product
Announcing Tabular User-Defined Functions
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ProductCOVID-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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ProductPyDremio 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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ProductHow 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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Dremio NewsCOVID-19 Open Letter To Customers
COVID-19 Open Letter To Customers.
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Partners
Refresh your AWS S3 Buckets With Minimal Data Lake Downtime
Updating S3 data can be challenging, fortunately there is a solution. In this article we explore how to update your S3 data while minimizing data lake downtime.
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Dremio News
Welcoming Billy Bosworth as Dremio’s new CEO
Welcoming Billy Bosworth as Dremio’s new CEO.
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ProductAnalyze 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
Query 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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ProductAccelerate 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.
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ProductA Quick Guide to Data Lake Feature Engineering Using Dremio
By creating new features, we can fine tune models and enhance their accuracy. Learn how to engineer features on your data lake using Dremio. -
Product
Using Data-driven Permissions to Secure Your Data Lake
Learn how to implement security on your data lake using data-driven permissions using Dremio.
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ProductQuerying Hive 3 Transactional Tables with Dremio
Learn how to setup Dremio to leverage Hive 3 transaction data for highly performant queries with low data latencies.
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ProductAccelerating Queries with Dremio’s DynamoDB ARP Connector
Accelerate time to insight with Dremio’s DynamoDB ARP Connector
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Open Data ArchitectureFundamental of Moving to the Cloud Data Lake
These are the keystone elements that you need to keep in mind to successfully approach a migration to the cloud data lake.
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PartnersRecap of AWS re:Invent 2019 – Dremio
In case you missed AWS re:Invent 2019, here is the recap of everything that took place at this great event.
