Library
Type
Dremio 3.2 Deep Dive Webinar
Azure Data Lake Store Explained by Dremio
Overview of Azure Data Lake Store (ADLS), explaining ADLS architecture, features and comparing with ADLS Gen2. Understand your options.
Data Science Across Data Sources With Apache Arrow
Webinar: Interactive Data Science and BI on the Hadoop Data Lake
BI on Big Data: What Are Your Options?
In this whitepaper, learn your options for BI on Big Data.
Dremio 3.1 - Technical Deep Dive
Starting Apache Arrow
Why Data-as-a-Service Is the Next-Generation Data Platform
Wondering what Dremio is and how it works? Download the Dremio Architecture Guide to understand Dremio in depth.
Dremio Data Reflections Overview & Best Practices
Data Reflections are Dremio's patented ability to accelerate queries on data from any source and any size. Download this white paper to learn about how Data Reflections work and best practices for designing and managing their use.
Dremio 3.0 - Technical Deep Dive
Dremio 2.1 - Technical Deep Dive
IT Origins With Tomer Shiran
Tomer Shiran sits down to talk about Dremio and how he got his start working in IT.
DM Radio: Modern Data Pipelines
Host Eric Kavanagh interviews several experts - including Dremio CMO Kelly Stirman - about modern usage of data pipelines.
Dremio Security Architecture Guide
Wondering what Dremio's security features and how they work? Download the Dremio Security Architecture Guide to understand Dremio in depth.
Conquering Slow, Dirty and Distributed Data with Apache Arrow and Dremio
Using LLVM to Accelerate Processing of Data in Apache Arrow
Software Engineering Daily Podcast June, 2018
Dremio CEO Tomer Shiran was a guest on the Software Engineering Daily podcast to talk about how Dremio is addressing the long-lived problems of data management, data access, and data governance.
Apache Drill Explained by Dremio
Overview of Apache Drill, including columnar data representation, schema discovery, SQL compatibility with non-relational databases, and more.
Apache Arrow Explained by Dremio
Overview of Apache Arrow, including in-memory performance, columnar data representation, vectorized query processing, and more.
The 2018 Bee: A Visual Story
Apache Arrow SF Meetup, May 2018: Vectorized Query Processing With Arrow
Apache Arrow SF Meetup, May 2018: Arrow Integration with Spark
Apache Arrow SF Meetup, May 2018: Arrow In Theory, In Practice
Evolve 2018: Pitch Your Tech in 5 Minutes
Open-Source Evolution: Spark, Kafka, and More
Host Eric Kavanagh interviews several open-source experts - including Dremio CMO Kelly Stirman - about the current state of open-source development.
Serena The Great: A Visual Story
Making Big Data Self-Service for Users
Dremio 2.0 - Technical Deep Dive
Self-Service Data for the Data Lake
InsideAnalysis Interview With Kelly Stirman
CMO Kelly Stirman sits down with Eric Kavanaugh at InsideAnalysis to talk about the move towards open source technology in data management, and how Dremio plays a role in that shift.
Data Access for Data Science
Making BI Work with a Data Lake
6 Obstacles to Self-Service Analytics
In this whitepaper, learn the the key reasons why progress toward self-service analytics stalls, and how to address them.
BI on Big Data: What Are Your Options?
In this whitepaper, learn your options for BI on Big Data.
The Winter Olympics: An Interactive Visualization
Making Data Fast and Easy to Use with Data Reflections
How New Companies Can Contribute to Open Source
Vectorized Query Processing Using Apache Arrow
Building an Analytics Stack on AWS with Dremio
Jacques Nadeau Discusses Dremio and Big Data with theCube
Trump's Greatest Tweets: A Sentiment Analysis
Dremio 1.4 - Technical Deep Dive
The Heterogeneous Data Lake
The Columnar Roadmap: Apache Parquet and Apache Arrow
Columnar Data: Apache Arrow and Parquet
A podcast on column-oriented data storage with Julien Le Dem and Jacques Nadeau.
Dremio Overview With Tomer Shiran
Tomer Shiran discusses the history and ideology behind Dremio.
Simplifying and Accelerating Data Access for Python
Using Apache Arrow, Calcite and Parquet to build a Relational Cache
Improving Python and Spark Performance and Interoperability with Apache Arrow
Data Engineering Explained by Dremio
Overview of data engineering, including data engineering trends and history, and how it compares with data science. Understand your options.
Data Warehouses Explained by Dremio
Overview of data warehouses, explaining data warehouse architecture, OLTP vs. OLAP, and comparing data warehouse technologies. Understand your options.
Data Pipelines Explained by Dremio
Overview of data pipelines and OLTP vs. OLAP, explaining what they do, and what technologies are typically involved. Understand your options.
ETL Tools Explained by Dremio
Overview of ETL tools comparing open source, enterprise, and custom ETL, as well as cloud services. Understand your options.
Arrow C++ Roadmap and pandas2
Apache Arrow: In Theory, In Practice
Dremio 1.3 - Technical Deep Dive
New Options for Moving Analytics to the Cloud
Intro to Self-Service Data With Dremio
Software Engineering Daily Podcast October 2017
Dremio CEO Tomer Shiran was a guest on the Software Engineering Daily podcast to talk about how Dremio works and who it benefits.
Dremio Enterprise Edition Data Sheet
Download the data sheet for Dremio Enterprise Edition for a brief overview of the advantages over Dremio Community Edition.
Dremio Deployment Considerations Guide
Download the Dremio Deployment Guide to understand how Dremio integrates with other enterprise technologies, hardware recommendations, and more.
Dremio Architecture Guide
Wondering what Dremio is and how it works? Download the Dremio Architecture Guide to understand Dremio in depth.