Snowflake Native Apps Overview
Leverage the Snowflake Native App Framework to build, market, monetize, and distribute an app to customers across the Data Cloud seamlessly and securely. Public Preview on AWS. Private Preview on GCP and Azure.
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Modern Software Development For Today's Systems & Applications
Technology
Real-time Fraud Detection - Use Case Implementation
When it comes to fraud detection in financial services, streaming data with Confluent enables you to build the right intelligence-as early as possible-for precise and predictive responses. Learn how Confluent's event-driven architecture and streaming pipelines deliver a continuous flow of data, aggregated from wherever it resides in your enterprise, to whichever application or team needs to see it. Enrich each interaction, each transaction, and each anomaly with real-time context so your fraud detection systems have the intelligence to get ahead.
Designing Event-Driven Systems
Many forces affect software today: larger datasets, geographical disparities, complex company structures, and the growing need to be fast and nimble in the face of change. Proven approaches such as service-oriented (SOA) and event-driven architectures (EDA) are joined by newer techniques such as microservices, reactive architectures, DevOps, and stream processing. Many of these patterns are successful by themselves, but as this practical ebook demonstrates, they provide a more holistic and compelling approach when applied together.
How to Tune Kafka Connect Source Connectors to Optimize Throughput
Kafka Connect is an open source data integration tool that simplifies the process of streaming data between Apache Kafka® and other systems. Kafka Connect has two types of connectors: source connectors and sink connectors. Source connectors allow you to read data from various sources and write it to Kafka topics. Sink connectors send data from the topics to another endpoint.
Deploy and scale high-performance background jobs with Koyeb Workers
Today, we are thrilled to announce workers are generally available on Koyeb! You can now easily deploy high performance workers to process background jobs in all of our locations. It's now simple to deploy workers from a GitHub repository and rely on our built-in CI/CD engine: simply connect your repository and we build, deploy, and scale your workers on high-performance servers all around the world.
ThoughtSpot for the Connected Google Workspace
I’m calling it now. The next battleground for analytics adoption among business users will be the productivity suite. Let’s unpack that statement by considering these two examples: Traditional BI has always forced you down a one-way street for answers—drop what you are doing, login to the BI tool, and pray to the data deities that you can find the answer you’re looking for.
Introducing Confluent Platform 7.5
Introducing Confluent Platform version 7.5, which offers a range of new features to enhance security, improve developer efficacy, and strengthen disaster recovery capabilities. Building on the innovative feature set delivered in previous releases, Confluent Platform 7.5 makes enhancements to three categories of features: The following explores each of these enhancements and dives deep into the major feature updates and benefits.
[Webinar Recording] ClearML + Apache DolphinScheduler: A New Approach to MLOps Workflows
We are excited to present ClearML + Apache DolphinScheduler: two powerful tools for implementing an end-to-end MLOps practice. ClearML is a unified, end-to-end platform for continuous ML, providing a complete solution from data management and model training to model deployment, and Apache DolphinScheduler is an easy-to-use, feature-rich distributed workflow scheduling platform that can help users easily manage and orchestrate complex machine learning workflows. When used together, machine learning practitioners achieve seamless integration of data management and process control.
CI/CD best practices: Advice from the 2022 Mobile DevOps Summit speakers
In this blog post, we’ll round up the best mobile CI/CD advice from last year’s Mobile DevOps Summit to help you release better apps, faster. Our Agenda and Speaker list have been released for our 2023 Mobile DevOps Summit: October 4 - 5.
Large Language Models: 3 Examples of Problems They Can Solve
Large language models (LLMs) are all the rage, fueled by the release of OpenAI's ChatGPT in late 2022, initially powered by the LLM GPT-3. Aside from the news hype, what can LLMs actually, getting-down-to-brass-tacks, nitty-gritty do for your business? Here, we’ll look at three examples of problems they can solve. But first, a quick definition of LLMs.