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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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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

Gaurav Dhillon , the co-founder and CEO of SnapLogic , who also co-founded Informatica in the early ’90’s and was CEO of that company for 12 years, posted 4 data predictions and 1 market prediction this week on LinkedIn and the SnapLogic blog. Rising Data Lakes will Drown the Warehouse. Happy New Year!

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Capital One Offers Cost Controls for Cloud Data Warehouses

David Menninger's Analyst Perspectives

The adoption of cloud environments for analytic workloads has been a key feature of the data platforms sector in recent years. For two-thirds (66%) of participants in ISG’s Data Lake Dynamic Insights Research, the primary data platform used for analytics is cloud based.

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Why the Data Journey Manifesto?

DataKitchen

We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World Conference, very few easily understood what we discussed at our booth and conference session. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science. Why should I care?

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