All Data, All Workloads: The Future of Data Processing with Snowflake

All Data, All Workloads: The Future of Data Processing with Snowflake

Disclaimer: The author is solely responsible for views and opinions in this article. Snowflake Summit 2022 was a success. Enough has already been written about what came out of it and the exciting new announcements, so I will not be repeating any of that. Instead, this is just my musing about how I perceive the […]

What Makes Good Analytics: Monitoring Your BI Stack

Monitoring comes up very often with our customers. Even though monitoring is frequently considered very common in other parts of the tech world, usually when software engineering efforts are present, generally less emphasis seems to be put on the data side of things. However, we have seen many times that effective monitoring (and subsequent proactive […]

Solution Design Sprints + Design Thinking the InterWorks Way

Solution Design Sprints + Design Thinking is a methodology for approaching analytics product development that combines elements from human centered design, design thinking, system thinking and product management to guide BI development teams through a robust yet approachable analytics product lifecycle. Do these scenarios resonate with you: Have you ever built a dashboard that wasn’t […]

InterWorks Blog Roundup – June 2022

You can mark your calendars: we’re officially halfway done with 2022. We’ve been winding down the data conference season this month by attending Snowflake Summit 2022, Alteryx Inspire 2022 and the Dataiku Everyday AI Conferences in both New York City and London. While we certainly have a lot to say about those conferences (and will […]

Webinar-Wiederholung: ​​​​​​Endlich die Tableau Relationships verstehen!

Kaum eine Neuerung hat so viele und große Wellen geschlagen, wie das neue Datenmodell in Version 2020.2. Doch auch zwei Jahre später ist die Zahl der Experten recht klein, die die Relationships einfach erklären können. Glücklicherweise kennen wir uns aus! Euch erwartet: – Einführung in die physischen und logischen Ebenen. Wir sprechen kurz über Joins, […]

What Makes Good Analytics: Avoiding Data Pitfalls

At InterWorks, we spend a lot of time working in the intersection of sales teams and technical consulting. In practical terms, this means we’re interpreting and translating requirements—listening carefully to what clients want, asking the right questions, mapping those requirements back to appropriate technology choices and defining the best way to achieve the outcome the […]

Tableau 2022.2: Beta Testing the Data Stories Feature

We recently spent some time with the new Data Stories feature that’s part of Tableau 2022.2. In this post, I walk through that process and share the steps I took to explore the capabilities of the new Data Stories. Let’s start by taking a look at the test dashboard: Configuring the Data Story Here’s the […]

InterWorks Becomes a Matillion Global Platinum Partner

InterWorks Becomes a Matillion Global Platinum Partner

Our relationship with Matillion has been incredibly strong these past few years, and that relationship just reached new heights. We’re proud to announce that InterWorks is now a Matillion Global Platinum Partner! This is the highest partner designation in the Matillion Partner Network, and we’re excited to work even closer with the folks at Matillion […]

Creating a Cross-Database Union in Tableau Desktop

Data in the real world is a lot messier than we’d imagine it to be. More often than not, working with data will involve multiple sources. For example, you might want to combine two tables, like sales from subsequent quarters. In Tableau Desktop, this is made simple with the Union operation, which allows us to […]

Load Multiple Tables into Snowflake with Two Matillion Tools

If you have spent any time working with data, you know that it’s rare when you only have a single table to move. While there are several ways to move tables around, I thought it might be a good idea to share with you a way to keep your Matillion workflow clean and simple. First, […]

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