Systems | Development | Analytics | API | Testing

Cloud Cost Control: Strategies for Scaling Data Operations Without Breaking the Budget on Snowflake

As data operations grow, so do cloud costs—but it doesn't have to be a one-to-one relationship. Join us for this enlightening session in our Weekly Walkthrough series, "Controlling Cloud Costs," where we'll explore how to scale your Snowflake operations efficiently. You'll gain invaluable insights into balancing performance and cost for scaling your data operations. With Unravel's Data Actionability Platform, you can take immediate, impactful action for transformative results in cost management.

The AI Silo Problem: How Data Streaming Can Unify Enterprise AI Agents

Artificial intelligence (AI) agents are everywhere. Salesforce has Agentforce, Google launched Agentspace, and Snowflake recently announced Cortex Agents. But there’s a problem: They don’t talk to each other. Your customer relationship management (CRM) agent doesn’t know what insights your data warehouse agent has. Your knowledge retrieval agent operates in isolation. Instead of having a connected AI ecosystem, we’re repeating history and creating AI silos.

Overcoming the Challenge of Planning & Deploying AI

We know the role that AI can play in modern business, and the benefits it brings to employees and customers. But launching and sustaining a successful AI project remains a critical challenge for many organizations. Technology leaders across the globe are being tasked with using AI to drive business success, and it is becoming a vital pillar in reaching strategic goals.

SAP Explainer

At insightsoftware, we believe that effective business strategy begins and ends with accessible data. That's why our solutions integrate seamlessly with SAP, turning your complex ERP data into clear, actionable insights. Easily explore your SAP data from every angle across your entire organization. From Excel-based reporting to supply chain optimization, process automation, exchange rate management, tax compliance, and more, insightsoftware gives you the tools to enhance and extend your SAP experience.

3 Elements of a Forward-Looking Data and AI Strategy

“AI is inevitable, but is your data ready for all AI has to offer?” That was the unspoken question every keynote, panel, and hallway conversation sought to answer at the 2025 Gartner Data & Analytics (D&A) Summit. Gartner’s response was loud and clear: AI can drive incredible value, but without a good data foundation, it’s garbage in, garbage out.

Replicating Data from Oracle to BigQuery - Steps Explained

In a time where data is being termed the new oil, businesses need to have a data management system that suits their needs perfectly and positions them to be able to take full advantage of the benefits of being data-driven. Data is being generated at rapid rates and businesses need database systems that can scale up and scale down effortlessly without any extra computational cost.

The Apache Iceberg Avalanche: How the Open Table Format Changes the Face of Data Lakes

Data storage has been evolving, from databases to data warehouses and expansive data lakes, with each architecture responding to different business and data needs. Traditional databases excelled at structured data and transactional workloads but struggled with performance at scale as data volumes grew. The data warehouse solved for performance and scale but, much like the databases that preceded it, relied on proprietary formats to build vertically integrated systems.

Key Takeaways from Accelerate: How Financial Services and Manufacturing Companies Leverage Data and AI for Measurable ROI

For many organizations across industries, the era of experimental AI has given way to the era of practical implementation. Even those companies still testing and evaluating AI solutions are shifting away from the art of the possible to focus more closely on what will soon produce measurable ROI. “It will no longer be enough for your organization to merely use AI to win the approval of company leadership,” says Samuel Lee, Product Marketing Director for Financial Services at Snowflake.