Systems | Development | Analytics | API | Testing

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Demo: Cloudera DataFlow on Data Hub

Cloudera DataFlow for Data Hub makes hybrid use cases possible by extending on-premises flow management, streams messaging, and stream processing and analytics capabilities to the public cloud. Watch an integrated demo of Cloudera DataFlow on Data Hub to understand how easy it is to ingest, process, and analyze your streaming data across multiple public cloud clusters.

Powering your APIs with Kong and AWS Lambda

While the concept of serverless applications has grown over the past years there are plenty of instances where the serverless model doesn’t fit all needs. For those coming from on-premises or hybrid scenarios, moving to serverless might look like needing to move everything or building very differently than you have in the past. In this session we’ll demystify the central component of the serverless movement, AWS Lambda, a serverless compute service that changes how applications are built and managed, but only in some ways.

Why Data Analytics Is Important for Business Success

Given the competitive value of analytics and rapid adoption rates across industries, you can’t afford a subpar analytics program. In the late 90s, Oakland Athletics general manager Billy Beane used data to discover undervalued talent and assemble a perennial playoff-caliber team, and he did so on a shoestring budget compared to Major League Baseball’s heavy hitters. Beane’s pioneering use of data analytics became the subject of the bestselling book Moneyball.

Why ELT Is the Future of Data Integration

Many analytics programs struggle to assimilate data from numerous and unpredictable sources, but automated ELT offers a solution. Why do so many businesses struggle to establish successful analytics programs? A lack of data is not the problem. Data volumes — from hundreds of cloud applications to millions of IoT endpoints — are exploding across organizations and industries.

Cloud-Based Data Analytics in Three Steps

Implementing a modern, cloud-based analytics stack doesn’t have to be hard — you can do it in three steps, actually. Implementing a modern data stack (MDS) — data integration tool, cloud data warehouse and business intelligence platform — is the best way to establish a successful analytics program as data sources and data volumes multiply.

Server-side Rendering in JavaScript: A Modern Approach

Let’s talk about SPAs. It all starts from a blank page which is subsequently filled with HTML and JavaScript. If we take PHP pages as an example, they already come bundled with the server, which is an advantage in terms of performance, right? For situations like these, server-side rendering frameworks (such as Next.js) come to the rescue. They process the code on the server-side to pre-fill the HTML result page with something (if not the whole page) before it reaches the browser.

How to Achieve Successful Digital Transformation

Today’s business world is relentless, and competition is intense. The digital landscape is continually shifting across many industries, creating an unprecedented demand for companies to innovate, experiment, and deliver capabilities faster. A robust digital transformation process speeds up business activities, competencies, and models while providing as much value as possible to customers. However, organizations must be cautious in their digital investment strategies.

How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

I met Matthew in New York City about a year ago. We sat in a private conference room and he told me the story of his pharma startup. A small group of researchers set out to solve the black-box enigma of certain kinds of vicious cancers. There are so many cancers, so their vision was to focus on especially heinous ones. Fast forward to their recent FDA approval of their “Hail Mary” procedure and treatment methodology for stage-four patients of a particular cancer.