New in Databox: Get Insights on Your Top KPIs with the Metric Detail Page
Dig deeper into each and every metric you are tracking.
Does the Data Warehouse Sit on a Single Physical Database?
This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes. Five things to know about this topic.
The 6 Best FREE Open-Source ETL Tools in 2023
Data integration can be a daunting task, and data engineers usually prefer open-source ETL solutions because of their transparency (you can always inspect the code), flexibility (tinker with the tool), and price performance (no vendor licenses, no maintenance fees). But there are many “gotchas!” with open-source tools you need to consider before picking the best tool for the job.
BigQuery helps Soundtrack Your Brand hit the high notes without breaking a sweat
BigQuery performance helps Soundtrack Your Brand transform big data into music to offer businesses personalized music recommendations.
Business Monitoring with ThoughtSpot
Business monitoring is essential to a company’s success. Whether you’re improving efficiency, saving costs, planning inventory, or tracking goals, you need to define metrics and monitor them regularly to make progress. With ThoughtSpot, business monitoring is an intuitive experience that starts with visualizing your KPIs in real-time so you can take action when there’s movement.
Deploying Your Hugging Face Models to Production at Scale with MLRun
Hugging Face is a popular model repository that provides simplified tools for building, training and deploying ML models. The growing adoption of Hugging Face usage among data professionals, alongside the increasing global need to become more efficient and sustainable when developing and deploying ML models, make Hugging Face an important technology and platform to learn and master.
No-code/low-code cloud data mapping with Talend
Mapping source columns with a data destination is arduous and time-consuming. Data fields can come from many source types and formats. Even though you are the expert on your datasets, you may require the assistance of IT to set up the mapping. However, the more sources, the more handoffs, the higher the possibility of errors. As organizational data has become more dispersed and voluminous across organizations and applications, it's more important than ever to ensure that you understand your data.
Transforming Business Through The Power Of Data
Srini Nachinarkiniar, Accenture's Global Snowflake Practice Lead, sees every business as a data business. In this interview with Data Cloud Now host Ryan Green, Trini expands on this philosophy and discusses its three core principles: That data provides a strategic core, the importance of building an intelligent data foundation, and finding the right talent to establish a data culture.
Democratizing marketing data with BigQuery and Looker
Welcome back to the marketing analytics series where we teach practitioners about Google Cloud marketing analytics solutions. In this video, Kelci shows how you can democratize marketing data with BigQuery and Looker. Watch to see how you can use Looker Blocks and Looker Action to help your company achieve a successful marketing mata strategy and share insights across your organization. Chapters.
The 7 Costly and Complex Challenges of Big Data Analytics
re:Invent 2022 is just around the corner and we couldn’t be more excited to share the latest ChaosSearch innovations and capabilities with our current and future customers in the AWS ecosystem. Enterprise DevOps teams, SREs, and data engineers everywhere are struggling to navigate the growing costs and complexity of big data analytics, particularly when it comes to operational data.