Systems | Development | Analytics | API | Testing

Mastering Cost Predictability: Forecasting and Budgeting Strategies for Databricks

Are you struggling to predict and control Databricks costs? You're not alone—accurate forecasting of cloud costs remains a significant challenge for 80% of data management experts (Forrester). Join us for this session in our Weekly Walkthrough series, "Controlling Cloud Costs," where we'll explore how to remove the guesswork from forecasting costs in Databricks. You’ll gain invaluable insights into transforming your approach to cost management from reactive to proactive. With Unravel's Data Actionability Platform, you can forecast costs precisely and take immediate action to optimize spending.

5 Reasons Why Data Analytics Users Should Care About Data Products

One of the fastest-growing trends in the datasphere today is the development and use of data products. As we move deeper into 2025 and beyond, data product usage is going to explode. In fact, according to the Gartner 2024 Hype Cycle for Data Management, Data Products are currently at the Peak of Inflated Expectations, signaling strong interest and rapid evolution in this space. You can download the entire report here. The advantages and impact of this new paradigm extend beyond data engineers.

How Countly Supercharges AI: A Game-Changer for Data-Driven Innovation

If you’re building AI systems—whether for personalization, fraud detection, or predictive analytics—you already know the brutal truth: your models are only as good as the data you feed them. Enter Countly, an analytics platform that doesn’t just collect user data but transforms it into rocket fuel for AI. This isn’t about explaining what Countly does (AI can do that for you).

Importance of Column Selection in AI-driven automated insights

Everyone associated with Business Intelligence (BI) applications is talking about their Artificial Intelligence (AI) journey and the integration of AI in analytics. Artificial intelligence encompasses a broad spectrum of categories, including machine learning, natural language processing, computer vision, and automated insights. ThoughtSpot has been a leader in augmented analytics, leveraging AI to automate insights and empower users to make data-driven decisions.

Top 40 Engineering KPIs and Metric Examples for 2025 Reporting

An engineering Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an engineering firm uses to gauge its success over time. With engineering being a very broad field, KPIs are employed in a variety of ways, ranging from company-wide analysis to project specific performance metrics. Company wide KPIs can be used to compare companies in the same industry, while project specific KPIs should be used internally to evaluate project performance.

The Fascinating History of Data Visualization: From Basic Maps to BI

Data visualization is an elementary component of human learning and understanding. It's also a significant capability of business intelligence (BI) and analytics solutions today. So, how did data visualization first come to be? The humble origins and gradual evolution of data visualization tools has led to an interesting timeline.