Dremio raises $135M to boost data lake transformation effort

Dremio today marked the next major phase of the data lake engine vendor’s evolution, raising $135 million in a Series D round of funding.

The challenge of using data lakes effectively is a big opportunity for vendors and enterprises alike.

Dremio, based in Santa Clara, Calif., is among the vendors looking to help organizations enable data lakes to more effectively be used for data intelligence.

The Dremio platform provides a data lake engine that gives organizations the ability to rapidly organize and query information stored in data lakes.

Last year was a busy time for Dremio, appointing new CEO Billy Bosworth in February. Bosworth was previously CEO of database vendor DataStax.

Dremio also released multiple updates to its core platform over the course of the year. In October 2020, Dremio released the Fall 2020 update, with enhancements designed to accelerate cloud data lakes for business intelligence use cases.

In this Q&A, Bosworth details the challenges and opportunities of the data lake market.

Why are you raising money now and was it influenced by the Snowflake IPO (initial public offering)?

Billy Bosworth: When we looked at our operating plans and multiyear projections, we wanted to take a

OpenAI Unveils DALL·E and CLIP AI Models That Create and Classify Images

OpenAI has unveiled DALL-E and CLIP, two new generative AI models that can generate images from your text and classify your images into categories respectively. DALL·E is a neural network that can generate images from the wildest text and image descriptions fed to it, such as “as an armchair in the shape of an avocado”, or “the exact same cat on the top as a sketch on the bottom”. CLIP uses a new method of training for image classification, meant to be more accurate, efficient, and flexible across a range of image types.

Generative Pre-trained Transformer 3 (GPT-3) models from the US-based AI company use deep learning to create images and human-like text. You can let your imagination run wild as DALL·E is trained to create diverse — and sometimes surreal — images depending on the text input. But the model has also raised questions regarding copyrights issues since DALL-E sources images from the Web to create its own.

AI illustrator DALL·E creates quirky images

The name DALL·E, as you might have already guessed, is a portmanteau of surrealist artist Salvador Dali and Pixar’s WALL·E. DALL·E can use text and image inputs to create quirky images. For example, it can

How to create a new database with RavenDB

Jack Wallen shows you how easy it is to create a NoSQL database with RavenDB.

Must-read developer content

RavenDB is a cross-platform document-oriented, NoSQL database server with a range of features that would make any enterprise-level developer or admin giddy. RavenDB was designed especially for the .NET/Windows platform, but getting it up and running on a Linux server is an outstanding pathway to success. 

Like many NoSQL databases, RavenDB includes a well-designed GUI that makes working with those massive collections of data much easier than you might think. Before you can work with the data, you must first create a database to hold said data. Fortunately, RavenDB makes this easy as well. 

Let me show you. 

SEE: Microservices: A cheat sheet (free PDF) (TechRepublic)

How to create a new RavenDB database

  1. Log in to your RavenDB dashboard and click Databases. 
  2. In the resulting window, click New Database. 
  3. Give your new database a name that is any combination (less than 128 characters) of upper and lowercase letters, numbers, and can contain the special characters “-“,”_”, and “.”. 
  4. Once you have your name set, you can configure the Replication factor. If this is a stand-alone RavenDB server, your Replication factor will be