Systems | Development | Analytics | API | Testing

October 2022

Snowflake's Retail Data Cloud

The retail and consumer packaged goods (CPG) industry is experiencing a global shift in how consumers, retailers, and brands interact. Long-term trends such as digitization and e-commerce, higher customer expectations, and supply chain transformation are accelerating. Businesses with a strong data foundation are rapidly adapting, and launching new digital capabilities and services.

What is continuous deployment?

After working on a new feature or an improvement, it's normal that you want to deliver these changes to your users as fast as possible. Depending on your deployment pipeline, confidently deploying changes to production might include coordinating with whoever is leading on-call, getting their approval, manually deploying your changes, spending hours to monitor how it goes, and performing a rollback in case something goes wrong.

6 Important Questions to Ask Before Choosing Your Web Host Provider

In this digital age, a company website is a sine qua non for most successful businesses. Your company website gives the ever-crucial first impression to your potential customers. Well, the experience your consumers will have will depend on the web hosting service you pick. A good web hosting provider will do heavy lifting for you. However, the plethora of reputable web hosting services in the market can make it hard to decide which one would best suit your company. It calls for careful research and consideration to select the best fit for your website.

Using Apache Solr REST API in CDP Public Cloud

The Apache Solr cluster is available in CDP Public Cloud, using the “Data exploration and analytics” data hub template. In this article we will investigate how to connect to the Solr REST API running in the Public Cloud, and highlight the performance impact of session cookie configurations when Apache Knox Gateway is used to proxy the traffic to Solr servers. Information in this blog post can be useful for engineers developing Apache Solr client applications.

Demo: Unravel Data - Keep Cloud Data Budgets on Track (Automatically)

Data teams need to be able to set cloud data budgets at a specific scope - and know if your various teams or departments are tracking to those budgets. But today, most data teams only know that the budget was overrun after it’s too late. With Unravel, establishing and tracking budgets to prevent overruns is easy.

How to use Google Sheets for data analysis with ThoughtSpot

Businesses have been scaling rapidly in the cloud, driven by the pandemic and lured by the promise of agility and flexibility. But here’s a dirty little secret anyone who works in data knows. Despite the value of the cloud, tons of data hasn’t made it there. So, where is it? Spreadsheets. Still the stalwart workhorse, hero, and bane of the business world. We all love how Google revolutionized this world by bringing spreadsheets to the cloud.

What is a service mesh?

A service mesh is a dedicated infrastructure layer that manages traffic, also known as communication, between services in applications composed of containerized microservices. It is a critical component in a microservices architecture, responsible for the secure, fast, and reliable communication between services. This article answers a lot of the questions you may have about service meshes: What are they and how do they work? Who is using them and why?

Public or On-Prem? Telco giants are optimizing the network with the Hybrid Cloud

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. However, while the promise of the cloud remains essential—not just for data workloads but also for network virtualisation and B2B offerings—the sheer volume and scale of data in the industry require careful management of the “journey to the cloud.”

Visualize Azure serverless workflow progress in realtime with pubsub

A suitable way to update a front-end from back-end processes is to use pubsub over WebSockets. In this video I'll show how to use Ably, a cloud based pubsub service, to visualize the progress of a serverless workflow implemented with Azure Functions and Durable Functions. About Ably Ably is an enterprise-grade pub/sub messaging platform. We make it easy to efficiently design, quickly ship, and seamlessly scale critical realtime functionality delivered directly to end-users. Every day, we deliver billions of realtime messages to millions of users for thousands of companies.

Universal Data Distribution with Cloudera DataFlow for the Public Cloud

The speed at which you move data throughout your organization can be your next competitive advantage. Cloudera DataFlow greatly simplifies your data flow infrastructure facilitating complex data collection and movement through a unified process that seamlessly transfers data throughout your organization. Even as you scale. With Cloudera DataFlow for Public Cloud you can collect and move any data (structured, unstructured, and semi-structured) from any source to any destination with any frequency (real-time streaming, batch, and micro-batch).

Enabling Multi-Region for Kong Konnect Cloud

Since the initial launch of Kong Konnect Cloud, one common feature request has (unsurprisingly) been Multi-Region support. Many customers look for SaaS solutions that support a distributed service architecture. Even at its inception, our goal was to support more than a single region. Today, we’re happy to announce Multi-Region Support for Kong Konnect Cloud.

Webinar: Unlocking the Value of Cloud Data and Analytics

From data lakes and data warehouses to data mesh and data fabric architectures, the world of analytics continues to evolve to meet the demand for fast, easy, wide-ranging data insights. Right now, nearly 50% of DBTA subscribers are using public cloud services, and many are investing further in staff, skills, and solutions to address key technical challenges. Even today, the amount of time and resources most organizations spend analyzing data pales in comparison to the effort expended in identifying, cleansing, rationalizing, consolidating, and transforming that data.

Enterprise data and analytics in the cloud with Microsoft Azure and Talend

The emergence of the cloud as a cost-effective solution to delivering compute power has caused a paradigm shift in how we approach designing, building, and delivering analytics to business users. Although forklifting an existing analytics environment into the cloud is possible, there’s substantial benefit for those that are willing to review and adjust their systems to capitalize on the strengths of the cloud.