Analytics

A Complete Guide to API Generation

API generation automatically creates an API based on pre-defined code and specific requirements, such as data access methods. APIs are the essential unit of a hybrid integration platform (HIP), an architectural approach to connecting everything or anything through a digital pulse. In this hustle to connect everything digitally, organizations need a process to acquire safe and secure APIs. API generation can make this happen, allowing companies to generate and deploy APIs without writing code.

Modern Data Engineering: Free Spark to Snowpark Migration Accelerator for Faster, Cheaper Pipelines in Snowflake

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models. Designed for processing large data sets, Spark has been a popular solution, yet it is one that can be challenging to manage, especially for users who are new to big data processing or distributed systems.

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.

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.

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.

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 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.

Insightful: Mastering Workforce Analytics for Growth

In the dynamic world of technology, managing and optimizing workforce productivity is a challenge for many organizations. Insightful, a leading workforce analytics and productivity software, is designed to address this challenge by providing actionable data insights. This review will delve into the features, pricing, pros, and cons of Insightful, a tool that is transforming the way organizations manage their teams.