Keboola's availability on Google Cloud Marketplace opens up the potential of Google Gemini, allowing users to tackle advanced data tasks in just a couple of keystrokes. This integration marks the next step for AI-powered data processing and unlocks new opportunities for Keboola and Google Cloud users, language model enthusiasts, data scientists, application builders, and data engineers.
Generative AI tops every list of major financial services trends for 2024. And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data.
Databricks is a popular platform for running Apache Spark workloads in the cloud. While Databricks makes it easy to spin up Spark clusters on demand, this flexibility can also lead to higher costs if not managed properly. In this article, we’ll explore some techniques for optimizing your Databricks clusters to reduce costs without sacrificing performance.
Monitoring your carbon footprint aligns your company with global efforts to address climate change and serves as a cornerstone of responsible corporate governance and cutting-edge sustainable business practices. Understanding your SAP data to its fullest is the first step on the journey towards a more sustainable future. With an advanced operational reporting solution that delivers proper data analysis, you can put your best foot forward.
Integrating business intelligence (BI) into your RAD Studio application is a great way to increase product stickiness, improve customer loyalty and unlock data-led insights for your end-users. Also known as embedded analytics, having a suite of natively integrated BI tools in your software product opens up data access and insight discovery to your end-users as part of their workflow, helping them make business decisions and increasing the value of your software for their goals.
Empower analysts with Cloudera's Data Platform! Self-service access to trusted data via an Open Data Lakehouse with Apache Iceberg, accelerating insights in today's fast-paced business landscape.
As you scale up the number of teams and apps on #apachekafka , using schemas managed in a Schema Registry will save you endless problems. In this #Kafka Live Stream, learn the fundamentals of schemas for your applications and how you can best manage them.
Companies acquire massive amounts of data online in today’s digital age. You’ll have to transform the raw data to create usable data, whether gathering data from various sources or creating dashboards and visualizations. This is when ETL comes into play.