Data-driven decisions with YugabyteDB and BigQuery
Integrate YugabyteDB with BigQuery using CDC and why you would want to.
Integrate YugabyteDB with BigQuery using CDC and why you would want to.
Welcome back to Loadero’s monthly updates! As we didn’t have as much to share last month, this time we are coming to you with updates from the past two months. Before we get into product updates, we are very excited to announce that Loadero is now ISO certified and we have acquired ISO 9001 (Quality Management), ISO/IEC 27001 (Information Security), and ISO 22301 (Business Continuity) certifications!
GenAI depends on data maturity, in which an organization demonstrates mastery over both integrating data – moving and transforming it – and governing its use.
Built with BigQuery, Live Ramp Safe Haven enables cross-channel marketing analytics to help customers execute media campaigns.
In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively. These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and automation are the norm.
Commercializing an AI-based product requires turning technology into a marketable product, navigating challenges from development to market entry. Appealing to enterprise buyers is crucial for sustainable, continuous growth, as their interest not only validates your product’s value but also lays the foundation for long-term success and scalability. More specifically, the larger the businesses of your potential customers are, the more of a monopoly your product likely has in the market.
Like peanut butter and jelly, ETL and data modeling are a winning combo. Data modeling can't exist without ETL, and ETL can't exist with data modeling. Not if you want to model data properly. Combining the two defines the rules for data transformations and preps data for big data analytics. In the age of big data, businesses can learn more than ever about their customers, identify new product opportunities, and so on.