Systems | Development | Analytics | API | Testing

Flink in Practice: Stream Processing Use Cases for Kafka Users

In Part One of our “Inside Flink” blog series, we explored the critical role of stream processing and why developers are increasingly choosing Apache Flink® over other frameworks. In this second installment, we'll showcase how innovative teams across every industry and size are putting stream processing into practice – from streaming data pipelines to train ML models or more timely analytics to fraud detection in finance and real-time inventory management in retail.

The Complete Guide to FTP, FTPS, SFTP, and SCP

In the digital age, data transfer is integral to operations for businesses of all sizes. While Extract, Transform, and Load (ETL) processes have become fundamental for moving raw data to destinations like data warehouses, the protocols you use to transfer these files can impact the efficiency and security of the entire operation. Dive into our comprehensive guide, as we shed light on the most popular file transfer protocols and their relevance in today's tech landscape.

How Secure is SFTP?

In an era where data security is crucial, understanding the robustness of our data transfer protocols is paramount. As businesses prioritize effective reporting, analysis, and insight gathering, the Extract, Transform and Load (ETL) process plays a pivotal role. This process gathers data from various sources, aiming to store it securely, often in a data warehouse. One method, Secure File Transfer Protocol (SFTP), has been an industry standard for over two decades.

Will ChatGPT Save the Chatbot Industry? (Part II)

In part one of this two part series, I reviewed the history of the chatbot, my 2003 patent, and the reasons why the conditions weren’t right for the type of chat experience we’re all now enjoying with ChatGPT. For part two, we get into what has changed and the different ways enterprises can drive modern chatbot experiences with ChatGPT.

23 Useful .Net Libraries for Your Next Project

Not every development framework is capable of creating a modern application. One of the reasons why.NET is considered one of the best frameworks is because it offers a variety of libraries that can help developers create these modern apps. Its features are also updated using low code and the deployment of high-scalable and accomplished apps.

Deploying an LLM ChatBot Augmented with Enterprise Data

The release of ChatGPT pushed the interest in and expectations of Large Language Model based use cases to record heights. Every company is looking to experiment, qualify and eventually release LLM based services to improve their internal operations and to level up their interactions with their users and customers. At Cloudera, we have been working with our customers to help them benefit from this new wave of innovation.

5 Key Ingredients to Accurate Cloud Data Budget Forecasting

Hey there! Have you ever found yourself scratching your head over unpredictable cloud data costs? It’s no secret that accurately forecasting cloud data spend can be a real headache. Fluctuating costs make it challenging to plan and allocate resources effectively, leaving businesses vulnerable to budget overruns and financial challenges. But don’t worry, we’ve got you covered!

Advancing the NodeSource Node.js Package Repo (Including User-Requested Upgrades!)

For over a decade, NodeSource has developed and maintained a Node.js package repository that, has become the standard for production use globally. We are excited to announce some significant updates to this repo that include a large number of items related to user requests.