Systems | Development | Analytics | API | Testing

%term

Building and Evaluating GenAI Knowledge Management Systems using Ollama, Trulens and Cloudera

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. Information is often redundant and analyzing data requires combining across multiple formats, including written documents, streamed data feeds, audio and video. This makes gathering information for decision making a challenge.

The Sliding Doors for the Essentials

As I have explored in this “Sliding Doors” blog series, identifying the right door to create value with data can prove quite challenging - and once that door is opened, the journey ahead can seem daunting. But what if there was a way to make that journey a bit easier? Maybe it’s time to get back to basics… Who needs to hear this?

How to Set Up a Fully Managed Alerting Pipeline Using Confluent Cloud Audit Logs

In large organizations, Confluent Cloud is often simultaneously accessed by many different users along with business-critical applications, potentially across different lines of business. With so many individual pieces working together, the risk of an individual outage, error, or incident affecting other services increases. An incident could be constituted by a user clicking a wrong button, an application’s misconfiguration, or just a bug—you name it.

Episode 9: From cloud migration to real-time analytics | Davey Resource Group

Clinton McFall from Davey Resource Group explores the challenges of cloud migrations and the lessons learned along the way. McFall and his team tackle complex data challenges including client data isolation across large data lakes, managing asynchronous data collection from field technicians and safely leveraging GenAI to explore GIS data in new ways. Listen to learn about how the country’s 8th largest employee-owned company is using data to manage difficult environmental projects.

How to Build Better APIs Faster with Insomnia 9.0

API development is a crucial part of modern application building, but the tooling has often lagged behind, leading to inefficiencies and slow release cycles. Kong Insomnia 9.0 aims to change that by providing a powerful all-in-one platform for designing, testing, mocking, and debugging APIs. In this webinar, we'll dive deep into the major new features in Insomnia 9.0 that turbocharge API developer workflows.

Banking on Future Growth: Predictions, Challenges, and Performance for Financial Brands

The COVID-19 pandemic and the resulting economic uncertainty forced businesses to rethink how they approach growth. This especially rang true in the financial services industry, where financial trends have the most direct impact. Curiosity, collaboration, and adaptability all became key to surviving this new climate.

Databricks Mastery: Speed, productivity, and efficiency for Lakehouse

80% of data teams are facing challenges related to availability of tooling. Why? Modern data engineering is difficult and testing data engineering solutions is generally an ad-hoc, manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive. With this in mind, Unravel is hosting a live event to demonstrate how enhanced visibility and data-driven observability help you streamline your workflow, accelerate your data pipelines on the Databricks Data Intelligence Platform.

3 Ways to Monetize Your Application Data with Embedded Analytics

Data is one of the most valuable commodities an organization has. Every company stores and manages a substantial amount of information. But how do you gain revenue from it? Here, we discuss three ways you can monetize data with an embedded analytics investment.