How companies are using data to optimize manufacturing operations
Digitization efforts across manufacturing have created new opportunities with digital twins, predictive maintenance and cloud systems.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Analytics
A Data Management Platform
View the full "Powered by Snowflake" Informatica interview here: https://www.youtube.com/watch
#snowflake #shorts #60seconds #data #datacloud #technology #dataanalytics #datamanagement #GenAI
Celebrating 18 Years of Innovation: Talend Studio's Exciting New UX
In 2006, a revolutionary data solution emerged from France: Talend Studio. Over the years, it has become the worldwide industry standard in Data Transformation, Big Data, Application Integration, and API low-code design. Fast forward to 2023/2024, and Talend Studio proudly serves over 10,000 unique users worldwide.
How to bridge the gap between humans and AI
In this episode, hear Sadie St. Lawrence’s thoughts on how to effectively leverage Generative AI at work by asking the right questions, and how the technology can help you to expand on your divergent thinking. There’s so much more to the future of work with Generative AI now at its core. Sadie shares where we’re headed, and how we can bridge the gap between humans and AI.
Generative AI and the legal landscape: Evolving regulations and implications
Navigate a shifting technological and regulatory landscape with confidence.
Empowering Enterprise Generative AI with Flexibility: Navigating the Model Landscape
The world of Generative AI (GenAI) is rapidly evolving, with a wide array of models available for businesses to leverage. These models can be broadly categorized into two types: closed-source (proprietary) and open-source models. Closed-source models, such as OpenAI’s GPT-4o, Anthropic’s Claude 3, or Google’s Gemini 1.5 Pro, are developed and maintained by private and public companies.
How to Modernize Your Legacy BI Tools with Embedded Analytics
Whether you’re an independent software vendor (ISV) or enterprise-sized company, you want the analytics software you invested in to enhance your users’ decision-making, open up greater access to key data, and improve operational performance for the long-term. However, continuously achieving these business outcomes requires a modern solution. Many organizations still rely on older business intelligence (BI) tools for reporting due to long-term licensing.
What is a Headless Data Architecture?
The headless data architecture. Is it a fad? Some marketecture? Or something real? In this video, Adam Bellemare takes you through the basics of the headless data architecture and why it’s beginning to emerge as its own respective pattern. Driven by the decoupling of data computation from storage, the headless data architecture provides the basis for a modular data ecosystem. Stream your data for near real-time low latency use cases, or convert it to an Iceberg table for analytical use cases.
How to calculate duration with one date time column! Do More with Qlik
Simply use the Previous() method in your data load script.
How to Turn a REST API Into a Data Stream with Kafka and Flink
In the space of APIs for consuming up-to-date data (say, events or state available within an hour of occurring) many API paradigms exist. There are file- or object-based paradigms, e.g., S3 access. There’s database access, e.g., direct Snowflake access. Last, we have decoupled client-server APIs, e.g., REST APIs, gRPC, webhooks, and streaming APIs.