Want to make your transition to GA4 as smooth as possible? This GA4 metric tutorial will show you everything you need to know.

Today's increasingly complex and unstable world, together with a continued focus from senior leaders on improving growth, use of technology and addressing workforce issues, means that many savvy organizations are looking towards Revenue Operations

The Python TypeError: NoneType Object Is Not Iterable is an exception that occurs when trying to iterate over a None value. Since in Python, only objects with a value can be iterated over, iterating over a None object raises the TypeError: NoneType Object Is Not Iterable exception.

Flutter is an open-source tool designed to build fast and beautiful applications across multiple platforms. The Flutter SDK has been widely adopted for developing mobile applications, and many developers are learning Flutter every day. It is important to create content that can help them do this, and that’s the aim of this blog post! So, we’ve prepared a simple cheat sheet of different Flutter widgets (and in Flutter, everything is a widget!), which you can use to build your Flutter apps.

I’ve been following the Streamlit framework for a while, since Snowflake announced that they would acquire it to enable data engineers to quick spin up data apps. I decided to play around with it and see how we could leverage the speed of creating an app along with the benefits that ThoughtSpot provides, especially around the ability to use NLP for search terms. Streamlit is built in Python.

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.