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.

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.

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.

Improve Product Stickiness and User Adoption with Embedded Analytics

You’ve heard of throwing ideas at a wall until something sticks–as a product manager, you may find you’re doing the same with application features. For application teams, creating sticky applications that customers can rely on and continue using for years to come is key to maximizing revenue. Elements like intuitive interfaces, personalized experiences, seamless integrations, and valuable core functionalities all contribute to this stickiness.

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.

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.

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?

Avro vs Parquet: Is one better than the other?

Big data has taken the world by storm, and as enterprises worldwide scramble to make sense of it, it continues to hit hard. Given the amounts of data produced daily, not only are they overwhelmed dealing with it, but they are also concerned that their existing ETL pipelines might not be able to cope without a solid data warehousing strategy.

7 Crucial Data Governance Best Practices To Implement

Data governance covers processes, roles, policies, standards, and metrics that help an organization achieve its goals by ensuring the effective and efficient use of information. It sets up the processes and responsibilities necessary to maintain the data’s quality and security across the business. Data governance manages the formal data assets of an organization.