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DataPact: A New Era of Automated Data Quality on Databricks
Going into 2026, where AI models that help shape critical business decisions based on the data they are fed, data quality is of more importance than ever. According to reports, 94% of respondents see incorrect data negatively impacting their organization. Databricks, which is one of the largest modern data processing platforms, offers many built-in options for data quality, but none are fully comprehensive.
AI Data Analytics 2026: From Experimentation to Autonomous, Governed Enterprise AI
AI data analytics 2026 is entering a new phase – shifting from experimental innovation to mission-critical enterprise infrastructure. Enterprises are no longer asking if they should invest in AI, but how fast they can scale it responsibly and profitably.
The Inconvenient Truth About GenAI: Why Data Engineering Maturity Matters More Than Your Model
These days, the market is obsessed with discovering the “best” GenAI model, whether it is Llama 3, GPT-4, Claude, or the next variant. That is the wrong war. Every expert is vying for the newest toy.
Mastering Databricks Genie: 7 Expert Tips to Optimize AI/BI & Unity Catalog
The evolution of AI/BI offers a transformative promise: the ability to converse with data and uncover actionable insights instantly. It represents a paradigm shift in how we interact with information. However, realizing the full potential of this technology requires more than just switching it on; it requires a thoughtful engineering approach.
Mastering Databricks Model Serving: Building Custom Data APIs & Unity Catalog
We are witnessing a paradigm shift in our industry: Data Engineering is adopting more and more Software Engineering principles, particularly when it comes to backend development. The old standard of “dumping” data into tables via ETL and expecting downstream apps to consume it via JDBC is becoming obsolete for modern use cases.
Gatehouse Cybersecurity: AI-Powered Cybersecurity with Real-Time Threat Detection Features on Databricks
With Entrada’s Gatehouse, your organization can enhance its security posture, optimize operational costs, and meet compliance needs effectively. Entrada offers full stack Databricks implementations services from Data Engineering to advanced AI capabilities, with accelerators designed for every step of Databricks adoption.
Entrada Secures Strategic Investment from Databricks Ventures to Scale AI + Data Capabilities
Entrada, a leading Databricks consulting and implementation services firm, received a strategic investment from Databricks Ventures to help scale the firm’s next leg of growth. Entrada’s focus in the Databricks ecosystem is accelerating time to value with industry focused Data + AI solutions.
Entrada Names Carley Donovan as Chief Operating Officer
Databricks Partner Entrada adds Recognized Services Leader to its Executive Team