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Top 6 Reasons to Modernize Legacy Messaging Infrastructure

Traditional messaging middleware like Message Queues (MQs), Enterprise Service Buses (ESBs), and Extract, Transform and Load (ETL) tools have been widely used for decades to handle message distribution and inter-service communication across distributed applications. However, they can no longer keep up with the needs of modern applications across hybrid and multi cloud environments for asynchronicity, heterogeneous datasets and high volume throughput.

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.

What are REST endpoints that JOIN table data?

REST endpoints that join table data typically allow you to retrieve and combine information from multiple tables or data sources in a single API call. These endpoints enable complex queries and data aggregations, often using JOIN operations, to return a unified dataset, simplifying data retrieval and reducing the need for multiple requests and manual data processing. They are commonly used in database systems and data analytics platforms to efficiently access and manipulate interconnected data.

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.

An Introduction to Exceptions in Elixir

Exceptions are a core aspect of programming, and a way to signal when something goes wrong with a program. An exception could result from a simple error, or your program might crash because of underlying constraints. Exceptions are not necessarily bad, though — they are fundamental to any working application. Let’s see what our options are for handling exceptions in Elixir.

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.