An overview of training datasets which can subsequently be enriched through data annotation and labeling for further use as artificial intelligence (AI) training data.
Learn how a new technique in ML— open-source in-database machine learning—is being used across industries to speed and scale predictions and drive innovation.
I will begin to explain what message queuing, and streaming is. Then look at some core and advanced capabilities required for modern data architecture.
More organizations are leveraging a data center of excellence and central data platform to mitigate the risks inherent to centralization and decentralization. Find out what a data center of excellence is and how you can implement one for your data talent.
In this article we are going to look at how we can use Kafka’s JDBC Source Connector to query a large table/view in batches both for new records and updated ones and publish them to a topic using Avro Schema.
Predicting customer churn is an important part of running any business because it will allow you to plan ahead and mitigate the effects of this happening in your company.
Here's how to use an open-source API to build DynamoDB-compatible applications that can be deployed wherever you want: on-premises or on any public cloud.
