AtScale, Inc.
AtScale, Inc.
Blog Post
  • As the World Cup is kicking off, some of us might be spending a lot of sleepless nights (or waking up earlier) to watch the games. Here is a fun fact: the most anticipated match is from Group H,  Japan Vs Belgium (with 4.9B page views out of 9B page views). Interesting. We definitely want to make sure you don’t miss out on your big data news while you’re enjoying soccer games, here is what you...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • We did it again! The AtScale team was present at the Dataworks Summit 2018 in San Jose, California. We hope you had the opportunity to attend some, if not all, of the great sessions that we suggested. If you missed the event, don’t worry, we have prepared a great summary for you.

AtScale, Inc.
AtScale, Inc.
Blog Post
  • When we started AtScale five years ago, there were just five of us, driven by the desire to change the way enterprises deliver analytics to the business.  AtScale was born out of necessity. At Yahoo!, my team and I had grown frustrated that we couldn’t easily let users consume all Yahoo! data. Every day, my team had to work through the “anarchy of enterprise data”. Preparing data for business ...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • In a recent article in Information Age we talked about how the worlds of big data and the cloud are preparing the path for the emerging concept of Data Lake 2.0. We believe that Amazon’s approach to the cloud-enabled data lake very much aligns with this vision. In AtScale we want customers to have access to the tools they are familiar with to derive value and insights from their data. This post...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • At the beginning of 2018 we predicted that cloud adoption would be one of the key strategic trends that would drive enterprises to success in the big data world. We know from experience that managing on-premises data infrastructure requires a huge effort, and we also know that as people become more adept at consuming data, enterprises want to make that information more actionable, whether it's ...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • 2018 Dataworks Summit is just around the corner. As you’re preparing your travel to San Jose, it’s time to think about how to maximize your time at the Dataworks Summit. Dataworks Summit will take place from June 18 to June 21. Sessions, keynotes, and workshop are spread across eight different tracks. Check out the full agenda. Everyone may have different goals for this summit. While you’re goi...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run” - Roy Charles Amara Mr Amara, an American researcher and futurist, probably didn’t anticipate how much wisdom was encapsulated in just a few words.  Buying technology is hard. And Enterprise IT buyers are often left with the hard task of determining if the new piece of technology ...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • It may seem like only yesterday that we said goodbye to 2017, but we are almost half-way through 2018. Big things in Big Data happened in the month of April. Many of us watched Mark Zuckerberg testify in front of Congress about data use and security, and still await the final  outcome of Cambridge Analytica’s data abuse. If April seemed like it slipped under your fingers, check out what you mig...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • My previous blog highlighted some best practices to gain immediate value from all the capabilities that AtScale offers when using Tableau as your BI tool of choice. One of those best practices is to use AtScale-created date dimensions to improve query performance, which is particularly helpful when using date dimensions as filters.  

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Five years ago we had a hypothesis that Business Intelligence (BI) needed a reboot. We planned to take the best parts of original BI ideas and merge them with modern engineering and data analytics to build a platform for delivering self-serve, secure, curated and fast analysis to the entire business. Our strategy, we believed, would build a bridge from the old world to the new world while givin...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Organizations have come to the realization that data is a core part of their strategy and a scalable distributed computing platform central to their technology investment. However, a challenge that big data practitioners face is what use case they should first implement in their journey towards realizing their big data strategy. The reality is, multiple items need to be addressed: choosing the ...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Often times, customers approach me with questions around AtScale’s ability to integrate into customer’s operational stack.  Today, I want to highlight a component of AtScale’s Development Extensions called Webhooks.  A webhook (also called a web callback or HTTP push API) is a way for an application to provide other applications with real-time information. A webhook delivers data to other appl...

AtScale, Inc.
AtScale, Inc.
Blog Post
AtScale, Inc.
AtScale, Inc.
Blog Post
  •  The joy of working as a Customer Success Solution Architect is that I have the opportunity to work with many different customers and each challenges us with a different Big Data use case. I've worked with enterprises that offload their Netezza database into the cloud. I've seen companies analyze social media data in real-time. I've helped teams streamline operational processes and increase effic...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • If you are like me, a Tableau fan, you’ve probably used Tableau for many years, attended numerous Tableau Conferences, and cheered with great enthusiasm when the engineers at Tableau demonstrated the latest and greatest enhancements to the software.  You may also be very accustomed to creating your own calculations based on the row level data you are connected to.  You enjoy the freedoms that T...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Cloud computing is that magnificent technology that every day poses as a great umbrella for all the digital activities we have going on, from ordering our groceries online to keeping track of asset logistics across the globe.   If you are one of our avid blog followers, you will remember Josh’s 6 principles of modern data architecture. If you need a refresher, here is the first one: “Treat dat...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • How valuable is an insight if you don’t know what’s driving it? The investment in big data made in recent years by companies has been significant. Many are now looking to capitalize on the insights to be discovered in their expansive data lakes. Developing an analytic solution is a difficult and laborious process. More than a few projects have been abandoned long before any conclusive benefit ...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Congratulations!  Your data is controlled, aggregated and turbocharged in your AtScale virtual cube.  You have Tableau to create remarkable visualizations. Your data is happy! But are your cube designers and business users too? For instance, did you know that centralizing calculations in your AtScale Virtual Cube eliminates TDE perpetuation, 3rd party ETL processes and version control headaches...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Data Lake Intelligence with AtScale In my recent Data Lake 2.0 article I described how the worlds of big data and cloud are coming together to reshape the concept of the data lake. The data lake is an important element of any modern data architecture, and the data lake footprint will continue to expand. However, the data lake investment is only one part of delivering a modern data architecture...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Yesterday, Gartner published the 2018 Magic Quadrant for Business Intelligence.  The MQ research for BI has been in existence for close to a decade. It is THE document of reference for buyers of Business Intelligence technology. At face value, not much seems to have changed...BUT, if you take a closer look, you'll notice that some of the biggest changes in the history of the Magic Quadrant jus...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Additional contribution by: Santanu Chatterjee, Trystan Leftwich, Bryan Naden. In the previous post [need link] we demonstrated how to model percentile estimates and use them in Tableau without moving large amounts of data.  You may ask, "how accurate are the results and how much load is placed on the cluster?".  In this post we discuss the accuracy and scaling properties of the AtScale percen...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Additional contribution by: Santanu Chatterjee, Trystan Leftwich, Bryan Naden. In the previous post, we discussed typical use cases for percentiles and the advantages of percentile estimates.  In this post, we illustrate how to model percentile estimates with AtScale and use them from Tableau. To learn how to be a data driven orgazation, check out this webinar!

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Every year, many of you reach out to thank us for our analysis of Gartner's famous Magic Quadrant for Business Intelligence.  Thank you all for your feedback!  This year,  we've decided to go one step further: in addition to our written analysis, we will be sharing our perspective as part of our upcoming "BI on The Data Lake Checklist" webinar. Be sure to register here: the Gartner Magic Quad...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Additional contribution by: Santanu Chatterjee, Trystan Leftwich, Bryan Naden. A new and powerful method of computing percentile estimates on Big Data is now available to you! By combining the well known t-Digest algorithm with AtScale’s semantic layer and smart aggregation features AtScale addresses gaps in both the Business Intelligence and Big Data landscapes. Most BI tools have features t...

AtScale, Inc.
AtScale, Inc.
Blog Post
  • Did you know that 9 out of 10 companies are only able to analyze less than half of the data they collect? In fact, 45% of these companies analyze less than one quarter of this data . Why is that? The answer is simple. We are generating more data than ever, 44 zettabytes by the year 2020 to be precise. What does this mean for you? A great data lake filled with extremely valuable potential to mak...