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What does this mean for those of us managing or trying to understand fast-growing companies?

This is a guest post with exclusive content by Bill Inmon, Mary Levins, and Georgia Burleson. Bill “is an American computer scientist recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference, wrote the first column in a magazine, and was the first to offer classes in data warehousing.” -Wikipedia.

The data landscape is exploding with tools. As data professionals we have at our fingertips specialized tools for anything: from specialized databases (graph, geo, you name it) to tools for SQL-driven transformations (looking at you, dbt). Yet, a lot of data work is about provisioning, selecting, administering, and just maintaining those tools. Which is just a pain. As Pavel Dolezal, CEO and co-founder of Keboola said: The answer is in how the Modern Data Architecture is built.

Data integration is the data engineering process of combining data across all the different sources in a company (CRM, SaaS apps like Salesforce, APIs, …) into a single unified view. The data integration process includes data extraction, data cleansing, data ingestion, data validation, modeling, and exposing ready-to-be-consumed data sets to other users and applications for business intelligence or data-driven activities.

Unravel now pulls in data quality checks from external tools into its single-pane-of-glass full-stack observability view.

As the rate of delivery for applications and services continues to rise, performance testing often takes a backseat in the race to delivering apps on-time. This 2022 holiday season is expected to be bigger than ever, with holiday shopping growing 15.5% to $236 billion. During this make-or-break time of year, companies can’t afford for their apps to become unreliable under heavy load.

Job queues are a powerful tool for processing background work in your Django applications. This article teaches about job queues and workers—and how to implement them with Django Q and Celery.

To be a leader in any industry is to be a leader in technology. In the whirlwind of digital transformation, innovation happens every day with software and software quality at the forefront. To not be left behind, now more than ever, CEOs, team leaders, and decision-makers should rethink software quality - the single most important element that determines their success.

Think about the times you've wished you had more insight into your business data. Or all of the times you wished you could answer questions about your business performance without waiting for someone else to get back to you. Gone are the days when businesses rely solely on IT staff to provide reports and analytics. With self-service business intelligence (BI), users can create their own reports, dashboards, and data visualizations without relying on IT help.

Digital transformation. Everyone has their own ideas about what digital transformation means, so I decided to look up a few definitions.