If you’re moving data in and out of Kafka, chances are you’re using Apache Kafka Connect. The strength of the Kafka community means we have a large catalog of available connectors for hundreds of different technologies, helping to accelerate the integration of Kafka with 3rd party systems.
The key differences between Fivetran, MuleSoft, and Xplenty: Hiring a data scientist or engineer can cost up to $140,000 per year —something many businesses can't afford. Still, organizations need to pull data from different locations into a data lake or warehouse for business insights. An Extract, Transform, and Load (ETL) platform makes this process easier, but few organizations have the technical or coding know-how to make it happen.
We’re happy to announce the release of gRPC support for Insomnia, now available in the 2020.5 release. With gRPC support, developers can make requests to gRPC backend services just like they can today with REST / GraphQL services from Insomnia.
You’ve decided to install Kong Gateway. Congrats! You’re almost ready to accelerate your microservices journey with the world’s most popular open source API gateway. This article and video will guide you through the short version of our tutorial. If you prefer, here are some more detailed instructions. If you haven’t already, make sure you’ve installed Kong before getting started. It should only take a few minutes.
According to a definition of multitenancy, when an app serves multiple tenants, it means that there are a few groups of users who share common access to the software instance. An excellent example of an app that supports multitenancy is the Jira platform, where each company has its subdomain to access the software, for example, mycompany.atlassian.net.
In the latest episode of our podcast, Mobile DevOps is a thing! we talked to Rasmus Larsson about new technologies from App Performance Monitoring to building engaging apps for sports fans, and integrating Augmented Reality or App Clips for iOS apps. You can listen to the episode here.
Several years ago when I was working on a big data project, I saw something a data engineer shouldn’t see. Curious to understand the level of detail in a new credit score dataset we’d received in our data lake, I queried it. I was surprised at how easily and suddenly my screen was flooded with the mortgage history, overdraft limits and year-end financial statements of my colleagues, and I felt deeply uneasy.
The U.S. Centers for Disease Control and Prevention (CDC) recently released recommendations on how organizations should use case management solutions to manage returning to onsite work in the midst of the COVID-19 pandemic. According to the CDC, case management tools can “make the traditional contact tracing process faster and more efficient” by streamlining data capture and management and merging workflows with other workforce management solutions such as surveillance systems.
While humans are ever-adapting, the recent pandemic has forced a complete revamp of how we work and play. As in-person meetings and conventions remain sparse, networking in other ways has become a new normal. Mobile app developers are applying key lessons and trends of online networking and socializing to capitalize on increasing global demand for virtual connectivity.
Key differences between Hive and SQL: Big data requires powerful tools. Successful organizations query, manage and analyze thousands of data sets from hundreds of data sources. This is where tools like Hive and SQL come in. Although very different, both query and program big data. But which tool is right for your organization? In this review, we compare Hive vs. SQL on features, prices, support, user scores, and more.
