Systems | Development | Analytics | API | Testing

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Current 2024 Day 2 Keynote - The Rise of Data Streaming Engineers

What does the rise of data streaming mean for software and data professionals? A once-in-a-generation paradigm shift is giving rise to a brand new role: the Data Streaming Engineer. Come hear from your fellow technologists how this new role is bringing together the work of application developers, data engineers, data scientists, and architects, and how it might describe the work you're already doing. Along the way, we'll get a survey of the current state of the technologies underlying the emerging Data Streaming Platform, and how you can prepare to use them in the coming year.

Setting Up Efficient Kubernetes Environments for Developers

Kubernetes has transformed how developers build, test, and deploy applications, providing a consistent platform for managing containerized workloads. Setting up efficient Kubernetes clusters is crucial for streamlining the development process, reducing time-to-market, and ensuring that applications run reliably from development to production.

DynamoDB Single-Table Design with TypeScript

Single-table design is a powerful approach to modeling data in DynamoDB because it allows you to store all your data in one place. This approach can simplify your data model and reduce the number of tables you need to manage. In the traditional approach, you create a separate table for each entity in your application. For example, you might have a table for characters and a table for quests. Each table would have its own primary key and attributes.

Ruby's hidden gems: Sorbet

The debate between static and dynamically typed languages has long been a subject of contention among developers. Each approach offers its own set of advantages and disadvantages, significantly influencing the software development process. Dynamically typed languages like Ruby provide flexibility by allowing variables to be declared without corresponding types. This approach fosters rapid development and promotes an agile process.

Cloudera Evaluates Integrated Data and AI Exchange Business Line to Optimize Data-Driven Generative AI Use Cases

According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making. More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision. For that reason, Cloudera is evaluating a new line of business: Cloudera Integrated Data and AI Exchange (InDaiX).

Mastering Prepaid Usage Billing in Real Time

In today’s data-driven landscape, businesses must continuously optimize their billing systems to stay competitive. Prepaid billing, where customers pay for services upfront before use, offers a flexible solution that benefits both companies and users. By ensuring immediate revenue and minimizing unpaid invoices, prepaid billing empowers businesses, while users enjoy greater control over their spending.

The Importance of a Unified Data Platform in Modern Finance

Historically, finance teams largely operated in the background, focusing on record-keeping, compliance, and ensuring that financial operations ran smoothly. Their primary responsibilities revolved around managing costs, balancing the books, and maintaining operational efficiency. In recent years, that has changed.

Unlocking Real-Time Insights and Making Migrations a Breeze: 13 New Partner Solutions and Offerings Launched

Whether you’re looking to jump-start a new use case, or accelerate your migration journey, collaborating closely with Confluent and our partners enables you to fulfill the increasing need for real-time customer experiences and applications, opening doors to new growth and success opportunities.

Chaos Testing: A Comprehensive Guide

Imagine you’re running a complex, distributed system—everything seems smooth until, without warning, a sudden failure brings the entire operation to a halt. What caused it? How can you prevent it from happening again? This is where chaos testing comes in. Chaos testing, or chaos engineering, is a proactive approach to discovering system weaknesses before they turn into catastrophic failures.