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MongoDB Enhances Developer Data Platform

David Menninger's Analyst Perspectives

While the company continues to make its software available for self-managed deployment on premises or in the cloud via MongoDB Enterprise Advanced and the MongoDB Community Edition free download, the proportion of MongoDBs revenue associated with Atlas has been steadily increasing since it was launched in 2016 and accounted for 71% of MongoDBs $478.1

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The Increasing Importance of Open Table Formats

David Menninger's Analyst Perspectives

I previously wrote about the importance of open table formats to the evolution of data lakes into data lakehouses. The concept of the data lake was initially proposed as a single environment where data could be combined from multiple sources to be stored and processed to enable analysis by multiple users for multiple purposes.

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Chipotle’s recipe for digital transformation: Cloud plus AI

CIO Business Intelligence

Chipotle IT’s secret sauce Garner credits Chipotle’s wholly owned business model for enabling him to deploy advanced technologies such as the cloud, analytics, data lake, and AI uniformly to all restaurants because they are all based on the same digital backbone. Chipotle’s digital business in 2022 was $3.5

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Build and manage your modern data stack using dbt and AWS Glue through dbt-glue, the new “trusted” dbt adapter

AWS Big Data

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. Let’s say that this company is located in Europe and the data product must comply with the GDPR.

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Einstein Studio 1: What it is and what to expect

CIO Business Intelligence

The company has been bundling various forms of automation into its Einstein brand since 2016. With this platform, Salesforce seeks to help organizations apply the cleverness of LLMs to the customer data they have squirreled away in Salesforce data lakes in the hopes of selling more. This isn’t a new push for Salesforce.

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A Few 2016 Technology Predictions

In(tegrate) the Clouds

I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. 2016 will be the year of the data lake. In 2016, which software company will be the biggest game-changer for the long term?

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2016 Data Predictions from Gaurav Dhillon

In(tegrate) the Clouds

His predictions are as follows: Data Eats the World and Integration Strategies Will Drive Digital Transformation. Rising Data Lakes will Drown the Warehouse. I shared some of my 2016 predictions in my previous post and summarized the most popular 2015 SnapLogic blog posts here. Multi-Cloud is the New Reality.