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The Case for Moving to a Business-centric Data Architecture

Domo

As someone whose role at Domo is to provide data governance advice to the company’s largest customers, I have lots of conversations with IT leaders about data lakes. At its core, a data lake is a centralized repository that stores all of an organization’s data. Overcoming data lake disadvantages.

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How Databricks and Tableau customers are fueling innovation with data lakehouse architecture

Tableau

In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough. This inertia is stifling innovation and preventing data-driven decision-making to take root. . One such approach is the lakehouse architecture model.

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How Databricks and Tableau customers are fueling innovation with data lakehouse architecture

Tableau

In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough. This inertia is stifling innovation and preventing data-driven decision-making to take root. . One such approach is the lakehouse architecture model.

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Transforming Analytics with a Modern Data Stack

Dataversity

There’s been a lot of talk about the modern data stack recently. Much of this focus is placed on the innovations around the movement, transformation, and governance of data as it relates to the shift from on-premise to cloud data warehouse-centric architectures.

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Why Is Data Quality Still So Hard to Achieve?

Dataversity

We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

We had a look at the way in which cloud computing transformed itself through some astonishing innovations in the past decade. Ease of use: The cloud players keep innovating so your job is simplified. To try and test the platforms in accordance with data strategy and governance. Yes, but the innovations don’t seem to stop.

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How to meet the challenges unique to enterprise scale

Domo

The 4 major data challenges organizations face. Over the years, Domo has found that most organizations face up to four major data challenges: Innovating without disrupting processes. Innovation is key to improving processes and increasing efficiency. Managing permissions, access, and governance at scale.