Practical Data Mesh: Building Decentralized Data Architectures with Event Streams

Why a data mesh? Predicated on delivering data as a first-class product, data mesh focuses on making it easy to publish and access important data across your organization. An event-driven data mesh combines the scale and performance of data in motion with product-focused rigor and self-service capabilities, putting data at the front and center of both operational and analytical use-cases.

Confluent unveils Apache Flink® on Confluent Cloud, making it easier to build real-time applications with stream processing on a unified platform

Confluent launches the industry's only serverless, cloud-native Flink service to simplify building high-quality, reusable data streams. Confluent expands Stream Governance capabilities with Data Portal, so teams can easily find all the real-time data streams in an organisation. New Confluent Cloud Enterprise offering lowers the cost of private networking and storage for Apache Kafka.

Top 8 Salesforce Middleware Integration Tools

Salesforce is among the leading CRM software platforms for collecting and leveraging user data to make smart sales, marketing, and customer support decisions. However, other software in your tech stack can benefit from such data. With the right Salesforce middleware, you can exchange data easily with your other critical tools.

Empower data with BigQuery & Looker

If you’re working with large amounts of data, and looking for guidance on how to build a data warehouse in Google Cloud using BigQuery- this new Jump Start Solution is for you! In this video, we’ll walk you through the Jump Start Solution that combines BigQuery as your data warehouse and Looker Studio as a dashboard and visualization tool.

IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle. As lakehouse architectures (including offerings from Cloudera and IBM) become the norm for data processing and building AI applications, a robust streaming service becomes a critical building block for modern data architectures.

How to Mask PII Before LLM Training

Generative AI has recently emerged as a groundbreaking technology and businesses have been quick to respond. Recognizing its potential to drive innovation, deliver significant ROI and add economic value, business adoption is rapid and widespread. They are not wrong. A research report by Quantum Black, AI by McKinsey, titled "The Economic Potential of Generative AI”, estimates that generative AI could unlock up to $4.4 trillion in annual global productivity.