Build vs. Buy—tale as old as time, song as old as…”I need that analysis yesterday!”Historically, a build vs. buy analysis was focused on on-premises vs. cloud. As cloud-based software services and data analytics tools have increased in popularity, the value…
Continue reading Cloud Data Warehouse Costs: A Build Vs. Buy Analysis
We’re making a new resource available to Panoply customers and users. We call it our Community, and one click over there and you’ll see it is a forum.To break down the elements of using Panoply – the Community exists for…
This series of posts analyzes how specific databases stack up against each other. We’ve covered the following comparisons so far:In this post, we’ll see how PostgreSQL compares to MongoDB. Who Uses These Databases?The following companies use either PostgreSQL or MongoDB.PostgreSQL: Apple,…
International Women’s Day is a day when women are recognized for their achievements without regard to divisions, whether national, ethnic, linguistic, cultural, economic or political.As we #PressforProgress on International Women’s Day we want to raise awareness of:To that end, we’re…
Continue reading Women Who Kick @$$ in Data Analysis, Science and Engineering
ETL. It should be fairly straightforward, right? We extract data, transform it as needed, and load it into the target application. But like the recipe for the perfect Bloody Mary or the ideal hamburger, someone else’s way of doing things…
Continue reading The Worst Advice We’ve Ever Heard About ETL
Nearly everyone in the IT world has heard the quote from Facebook’s Mark Zuckerberg about the need for speed and performance in technology—“Move fast, break things.” While that might apply to social media platforms, there is less forgiveness for breaking…
Continue reading 10 Minutes To A High-Performance Big Data Stack. Really.
As an analyst who deals with data from many data sources daily, you might find yourself as the go-to source for information about business intelligence in your office. While it’s cute when your grandma asks about what it is you…
Continue reading 9 Things Your Boss Wants to Know About Data Warehousing
Your company sits on an immense treasure trove of data, but tapping this data and accessing its value can be a challenge. The complexity of legacy systems is compounded by internal teams that need various combinations of system data in easily…
Continue reading Get Stacked: Designing a High Performance, High ROI Data Stack
Amazon Redshift is a very powerful data warehouse, optimized for analyzing massive amounts of data in a blink of a second, when configured right.It’s a highly robust system, complete with features for configuring every step of the process with absolute…
Continue reading Redshift Benchmark: A First Test of the Entire Data Funnel
Like most data teams, Kimberly Clark’s EMEA Omnichannel team has results, insights and findings to deliver to dozens of stakeholders. The team also has data scattered across databases, cloud applications and platforms and more—and assembling figures used to be onerous.…
Continue reading How Helena Carre of Kimberly Clark Uses Panoply
Three days, over ten thousand attendees, forty hours of content and at least five things happening at once. Welcome to SaaStr Annual! We’ve been scouring the official schedule for the coolest SaaStr events and dedicated many nights and mornings taste…
Continue reading How To Rock SaaStr Annual And SF Like A Pro (Also: #DataParty!)
As a member of the marketing team you already know that data is power. However, it’s not always easy to get, and even when you can get the data you need, it’s not always easy to understand, analyze, interpret and…
Continue reading A Marketing Professional’s Guide to Collecting Twitter Data
