Our mission at Google Cloud is to help our customers fuel data driven transformations. As a step towards this, BigQuery is removing its limit as a SQL-only interface and providing new developer extensions for workloads that require programming beyond SQL. These flexible programming extensions are all offered without the limitations of running virtual servers.
Most commonly, data teams have worked with structured data. Unstructured data, which includes images, documents, and videos, will account for up to 80 percent of data by 2025. However, organizations currently use only a small percentage of this data to derive useful insights. One of main ways to extract value from unstructured data is by applying ML to the data.
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.”
In this post I will demonstrate how Kafka Connect is integrated in the Cloudera Data Platform (CDP), allowing users to manage and monitor their connectors in Streams Messaging Manager while also touching on security features such as role-based access control and sensitive information handling. If you are a developer moving data in or out of Kafka, an administrator, or a security expert this post is for you. But before I introduce the nitty-gritty first let’s start with the basics.
In today’s cloud ecosystem the demands for high functioning and high performance observability, security and networking functionality for applications and their network traffic are as high as ever. Historically a great deal of this kind of functionality has been implemented in userspace, but the ability to program these kinds of things directly into the operating system can be very beneficial to performance.
Users continue to give Kong top rankings in the Fall 2022 G2 reports, landing Kong in the leader quadrant in the API Management Tools G2 Grid and the Top 5 Easiest to Use API Management Tools. There are plenty of reasons why Kong is king when it comes to API management. But don’t just take our word for it! See what some of our users have to say.
RubyCritic provides visual reports highlighting code smells, code structure, ease of testing, and test coverage in your Ruby application. It's in active development, with new code analysis tools often being introduced as new features. It's well worth keeping track of RubyCritic's releases. This article will touch on some of RubyCritic's benefits, its dependencies, and how to read its code reports. Let's get going!
A key consideration when buying an embedded analytics solution is not only whether it supports embedding of charts and reports, but that it can integrate analytics in a way that is indistinguishable from the experience of your application. Learn what white-label BI is.
