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.

Our new and improved feature provides robust metadata to improve visibility, streamline compliance and monitor spending.

As a contract software developer, I am exposed to oodles of Ruby code. Some code is readable, some obfuscated. Some code eschews whitespace, as if carriage returns were a scarce natural resource, while other code resembles a living room fashioned by Vincent Van Duysen. Code, like the people who author it, varies. Yet, it's ideal to minimize variation. Time and effort are best spent on novel problems.

Imagine transforming raw business data into actionable insights with minimal effort. This is the value proposition of automated analytics, a form of data analytics fast becoming more accessible among modern business intelligence (BI) and analytics software solution vendors. Independent software vendors (ISVs) and enterprise organizations at the cusp of investing in analytics struggle with manual data processes that are time-consuming and prone to errors.

Django is one of the leading Python frameworks used to create full-stack web applications. In this comprehensive guide, you will explore the intricacies of testing and debugging within the Django framework, focusing on advanced methodologies and essential tools. Beginning with the fundamentals of Django unit and integration testing, you will delve into advanced techniques such as mocking, testing middleware, and profiling for optimal performance.

Electronic Data Interchange (EDI) is a popular communication method that enterprises use to exchange information accurately and quickly with trading partners. EDI transmits data almost instantaneously — serving as a fast and efficient mode for exchanging business documents. ANSI X12 vs. EDIFACT are the two most common EDI standards used for EDI, but they have different structures, styles, and usage.

Despite the transformative potential of AI, many financial planning and analysis (FP&A) teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.

For flawless digital experiences, quality engineering (QE) is more than just a technical requirement—it’s the driving force behind innovation and success. Steve Semelsberger, Testlio’s CEO, will share his valuable insights in an engaging LinkedIn series designed to help fellow CEOs unlock the strategic benefits of QE. In this series, Steve will address your toughest questions and demystify the complexities of building a robust QE framework.

Amazon OpenSearch is a popular fully managed analytics engine that makes it easier for customers to do interactive log analytics, real-time application monitoring, and semantic and keyword searches. It can also be used as a vector engine that helps organizations build and augment GenAI applications without managing infrastructure (we’ll talk about this in future blogs). Additionally, the service provides a reliable, scalable infrastructure designed to handle massive data volumes.

A look at how to augment LLM results with retrieval augemented generation (RAG) and vector search, directly from BigQuery.