Systems | Development | Analytics | API | Testing

Are you trying to move your data from Google Analytics to BigQuery? Are you confused about how to do this easily? If yes, then you are in the right place. This blog covers various methods to connect Google Analytics to BigQuery in a few simple steps.

Every business that analyzes their operational (or transactional) data needs to build a custom data pipeline involving several batch or streaming jobs to extract transactional data from relational databases, transform it, and load it into the data warehouse. In this post, we show how you can leverage Amazon Aurora zero-ETL integration with Amazon Redshift and ThoughtSpot for GenAI driven near real-time operational analytics.

One year ago, Heroku sunsetted its free tier. Today, we want to reaffirm our commitment to maintaining our free tier, dive into why offering a free tier for compute is complicated (we are looking at you crypto miners), take the time to explain how we intend to sustain it, and explain why we are so committed to providing a free tier. Long story short: we aim to keep a free tier thanks to how we control our costs.

A patient interaction turned into clinician notes in seconds, increasing patient engagement and clinical efficiency. Novel compounds designed with desired properties, accelerating drug discovery. Realistic synthetic data created at scale, expediting research in rare under-addressed disease areas.

The Apache Flink PMC is pleased to announce the release of Apache Flink 1.18.0. As usual, we are looking at a packed release with a wide variety of improvements and new features. Overall, 174 people contributed to this release completing 18 FLIPS and 700+ issues. Thank you! Let's dive into the highlights.

Every day, more companies unlock the potential of artificial intelligence (AI) and machine learning. When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Together, predictive analytics and AI can help application teams by streamlining processes, generating personalized recommendations, and creating a more intuitive and efficient user experience.

In today's digital landscape, the shift from traditional storage to cloud platforms is not just a trend—it's a game changer. Navigating this transition seamlessly is paramount for businesses to thrive.

Android has surged past iOS to dominate the world’s smartphone market, but its ecosystem is growing at an exponential rate. There were more than 24,000 different Android devices at the last count, which places major strains on devs. To learn Android development, you have to learn how to optimize for hundreds of different devices. So you need a clear learning plan that can be applied to the entire Android ecosystem.

If you ever tried to go global, you have probably faced a reality check. A whole new set of issues starts to appear when you start to operate a workload over multiple locations across the globe: So it looks like a great idea in theory, but in practice, all of this complexity multiplies the number of failure scenarios to consider!