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Tag: data modeling

Mastering Data Modeling: Insights from a Data Product Developer

Let's not deny it; we've all been captivated by the elegant symmetry of Data Products. If you haven't encountered them yet, you might be living under a rock. But don't worry, before we delve into advanced solutions, let' Read more…

Semantic Layer Belongs in Middleware, and dbt Wants to Deliver It

The folks at dbt Labs think the data transformation tool is the proper place to implement and manage a semantic data layer, as opposed to the BI tool or the data warehouse, where it has traditionally resided. And later t Read more…

How Snowplow Breaks Down Data Barriers

If you have suspicions about your data, you’re not alone. The AI and data analytics dreams of many a company have been broken by poor data management and defective ETL pipelines. But by enforcing data schema at the poi Read more…

What Is An Analytics Engineer and When Do You Need One?

A new persona is starting to make the rounds in the big data field. It’s called an analytics engineer, and depending on your data workflow and the size of your team, it could help you speed up your advanced analytics e Read more…

Inside AutoTrader UK’s Data Observability Pipeline

In the course of shifting its analytics estate to the cloud, AutoTrader UK has adopted many new tools and technologies, including BigQuery, Looker, and dbt, which have helped to democratize data access among users. Along Read more…

Goldman Releases Fintech Data Modeling Tool

Goldman Sachs is launching an open source data modeling platform based on its flagship data management and governance platform. The investment banking giant (NYSE: GS) said the open-source version of the platform dubb Read more…

Localized Models Give Hospitals Flexibility in COVID-19 Response

Hospitals have been re-allocating resources and delaying elective surgeries in anticipation of a surge in COVID-19 patients over the past month. That surge didn’t materialize in most locations, and now, as the number o Read more…

On the Radar: Promethium, StreamNative, Inzata

Welcome to On the Radar, a new Datanami feature about interesting new startups in the big data and analytics space. In this week’s edition, we explore three vendors making news, including Promethium, NativeStreams, and Read more…

AtScale Tackles Data Engineering with Virtualization Software

It’s often the prep work in analytics that kills you. Before any analysis can be run, engineers must assemble, transform, and standardize the data. In a world where data silos are proliferating in the cloud, on premise Read more…

How Modeling Weather Forecasts Improves Business Decisions

There's no denying that weather forecasts have gotten better, which has given millions of people and businesses the ability to make better plans. However, weather forecasts are still not perfect, and that creates a gray Read more…

A Four-Phased Approach to Building an Optimal Data Warehouse

If you’re planning to create a data warehouse, make sure you create one that is cross-functional and provides a long-life foundation for data provision and decision support. This means covering the entire enterprise an Read more…

Taming Unstructured Data with Cognitive Computing

Contending with unstructured data is no longer a priority reserved for the most well-financed, IT-savvy organizations, like Google and Facebook. As the world’s data continues to increase at nearly exponential rates, th Read more…

Arcadia Emerges with Visual Analytics Running Directly On Hadoop

Arcadia Data today emerged from stealth mode by announcing $11.5 million in Series A funding and the limited availability of its flagship product: a Web-based visual analytics tool served directly from Hadoop. In Hado Read more…

Bridging the Old BI World with Big Data Analytics

We're in the middle of a revolution in data analytics, where old beliefs and approaches are being discarded as new technologies emerge. One data analytics software company that's aiming bridge the gap between the old and the new is Looker, which today unveiled new software designed to help companies retain the richness of big data without overwhelming users with all the gory details. Read more…

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