If you’re a SQL Analyst, you’ve got one of the most important jobs in your company today. Creating analytics to make data actionable for the business.
At Aginity, we are lucky to interact with Data Analysts, Data Engineers and Data Scientists from across a wide range of industries and company sizes. It gives us a birds-eye view of some trends in data processing and the thousands of users of our SQL query applications…
It’s been an unprecedented year of growth for us at Aginity. With the recent launch of our two next-generation solutions Pro and Team, we’ve got tens of thousands of individuals and enterprises depending on our products in their everyday workflow.
If the retirement of Netezza has you floundering, we’ve got at least one point of consolation: this doesn’t mean you have to part ways with Aginity! In addition to supporting IBM’s next generation database offerings with support coming out this year, Aginity already enables your SQL query and development workloads on 10 different databases (and counting), including cloud specialists like Azure Data Warehouse and Amazon Redshift.
It feels like every conference talk, blog post, podcast or marketing message that I get these days is touting the amazing benefits of Data Science, Machine Learning (ML) or Artificial Intelligence (AI) (or if you are old school, you probably recall the marketing and promotion of many similar techniques as “Statistical Modeling”).
When we first built Workbench for our own use, we had no idea that 10s of 1000s of users would come to rely on it for their daily tasks across a host of on-prem and cloud analytics platforms. We hear daily from users who have loved having access to such a robust (and free!) product for the past 10 years, but we have also heard many requests for new features, new platforms and for additional support which was a challenge for us to provide…
You’ve found Aginity Pro. And it’s helping. But you still might be writing code over and over again. (Think about it…you are and you know it).
We’ve tried to tell you, you really need to try out Aginity Pro’s active analytic catalog! But you still haven’t done it yet.
So today, I’m going to ramp up the persuasion. I’m sharing my top five ways you can get the most use of our active analytics catalog. Give it a try, and I bet it will make you and your team even more productive.
We’ve been working on it for months. We’ve pulled a few (OK, more than few) late, pizza-fueled nights at the office. And today, we’re thrilled to say:
There is a movement that’s happening. An analytic movement. Analytics is one of the most important and valuable assets to an organization—next to you, of course. Yet we don’t seem to give analytics the love it deserves. This motivated us to take a deeper look at how we treat analytics today and how we can uncover its potential and showcase its value.
In the past week, two leading tech platforms spent $18.3B acquiring business intelligence and data visualization companies. Google acquired Looker for $2.6B, and Salesforce acquired Tableau for $15.7B.
We all have our own ways of organizing stuff at home and at work. My friend swears by bullet journaling, my boss juggles multiple Google calendars and productivity apps, and my daughter keeps a simple to-do list. There’s no right or wrong answer here. We all have different ways of keeping a grip on our life.
If you’ve traveled internationally, there’s a good chance you’ve gotten off a plane in a place where you don’t speak the language. It’s tough—there are big challenges that come with not knowing how to ask even simple questions or understand what you’re being told, and it slows you down, too. It would be a lot easier if you could speak in your own language and be understood—and vice versa.
It’s unavoidable—at every conference, all I seem to hear about is Artificial Intelligence (AI) and Machine Learning (ML). I can’t help but think about when I was kid and AI meant robots like C3PO from Star Wars, Chip from Not Quite Human, or Rosie the Maid from The Jetsons.