You’re juggling disconnected data, overwhelmed teams, and rising expectations — but your current systems can’t keep up. Data and analytics modernization for healthcare isn’t just a technical upgrade. It’s how you bridge the gap between outdated infrastructure and your ability to deliver timely, accurate insights. In this blog, we’ll walk you through: The current state…
Databricks is a powerful data intelligence platform designed to address challenges across data engineering, real-time analytics, AI, and governance. However, without a clear strategy, you risk missing out on its full potential for flexible, efficient, and scalable data management. In this blog, we’ll break down five common use cases that demonstrate how Databricks can transform…
Databricks offers unmatched flexibility and control, allowing you to tailor solutions to your specific data needs. However, without careful optimization, you risk turning a powerful tool into an unnecessary expense. Learn how to harness Databricks’ capabilities to achieve peak performance and cost-efficiency, ensuring your environment aligns with both performance goals and budget constraints. Whether optimizing…
Managing the entire lifecycle of your data — from ingestion and engineering to analytics and machine learning — can be overwhelming, especially when you’re dealing with fragmented tools, inefficient pipelines, and complex workflows. The Databricks Lakehouse architecture simplifies this by combining the flexibility of data lakes with the performance of data warehouses into a unified…
Ensuring the continuous reliability of your Databricks platform begins with routine health checks. These checks are not merely procedural; they are essential for organizations of all technical proficiencies to uncover and address the subtler, often overlooked issues that compromise efficiency and security. This blog dives into how a thorough Databricks health check can transform your…
In this blog, Analytics8 Principal Consultant, David Walborn, answers common questions we’re getting from our customers about Fabric, Microsoft’s newest end-to-end analytics product. In this blog, we cover: What is Microsoft Fabric?↵ What is OneLake? ↵ What if I’m already using Power BI, ADF, or Synapse (which are now components of Fabric)? ↵ What does…
In May 2023, Qlik shook up the data industry by successfully acquiring Talend, further solidifying its position in the data transformation, data quality, and data governance realm. This strategic move marked a significant boost to Qlik’s recent focus on transforming into an all-encompassing end-to-end data platform. In this blog, we discuss how Qlik got to…
In this blog, we discuss what data integration is, why it’s beneficial, the different approaches you can take and tools you can use, as well as best practices to implementing a data integration solution. If you aren’t embracing data-driven decision-making and using your data as a strategic asset, you’re going to be left behind. But…
In this blog, we discuss the challenges that can arise after a merger or acquisition and why you should prioritize data and analytics to ensure a successful deal, as well as how to develop a plan to integrate and centralize data after the M&A activity finalizes. Integrating data after an M&A transaction will not only…
Databricks and dbt have recently joined forces, and in this blog we provide an overview of each tool, what synergies exist from this partnership and what it means for your data engineering pipeline, and how you can get started with using the tools together today. Is collaboration across your data teams difficult? Is data drifting…
In this blog, we will discuss why integrating your Google Analytics with the rest of your company data is beneficial for your marketing analytics, provide examples of the different types of insights you can gain for your marketing needs, and share tips on how you can get started. Most organizations today rely on Google Analytics…
In this blog, we define reverse ETL and discuss what makes it different than traditional ETL. We provide practical use cases for reverse ETL to show how it can benefit your organization, along with best practices when using this process. You put a lot of work into cleansing, consolidating, and governing your data to make…
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