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November 12, 2019

The Future of Data Warehousing

Surprise! You never would have guessed the future is in the cloud. We should not be overly concerned with “the future” of data warehousing. The past five years have brought fundamental new capabilities at the platform level and most organizations are wrestling with adopting these new technologies. We should be focused on “the now” of […]

November 8, 2019

AtScale Embraces the Digital Revolution at the CIO Forum in Toronto

This week, AtScale joined senior-level IT executives at the CIO Executive Forum in Toronto. The theme of the day was “Embracing the Digital Revolution from Information to Transformation.”  The day began with a talk by Maurice Tayeh, Global Chief Information Officer of Hatch, a consulting engineering and project implementation. He talked about how the role […]

November 8, 2019

Why You Need Next-Gen OLAP

Before You Break Up with OLAP While relationships can be challenging at times, they are usually worth the effort. When your significant other repeatedly leaves the cap off the toothpaste or leaves dirty dishes in the sink, it might drive you crazy. Our relationship with technology is no different. If you’re like me, you still […]

November 7, 2019

Microsoft Azure’s Big Move in the Cloud with Synapse

Microsoft’s recent announcements at Microsoft Ignite should be resonating with global enterprise companies whether they are pure Microsoft client or not. Microsoft is taking a very bold swipe at Google (GCP/GBQ) and Amazon (AWS/Redshift) during thier Synapse (next gen Azure SQL/DW) demo. Microsoft went so far as to stress test Synapse on stage against GBQ […]

November 4, 2019

Join AtScale in Las Vegas at the 2019 Tableau Conference

AtScale is joining one of the biggest data communities in the world at the Tableau Conference that takes place from November 12-15 in Las Vegas. We’re looking forward to meeting over 20,000 data-driven people like you from all industries and all sized organizations. The AtScale team will be in Booth #328 at the Mandalay Bay […]

November 4, 2019

Employee Spotlight: Daniel Gray

The core of our organization is our team. And at AtScale, we’re a team of thinkers, innovators, and most importantly, doers. Want to know what it takes to join us? Today we introduce you to Daniel Gray, VP of Sales Engineering at our Boston office.  What’s your role here at AtScale? A: VP of Sales Engineering, […]

October 25, 2019

What is Data Migration?

Your organization is only as good as its grip on data management. As you begin to grow, your data becomes more complex and your current space doesn’t fit like it used to. Signs of wear become more visible, and your next steps have a new-found transparency. What does this mean for the future of your […]

October 24, 2019

How to Become Truly Data-Driven

Companies today don’t have the luxury of waiting to become data-driven while younger and more agile competitors are nipping at their heels. The pressure is on now to consolidate all data across the organization for a single view into operations, processes, and customer service.   But why is becoming data-driven such a headache? It’s all too […]

October 21, 2019

Employee Spotlight: Brandon Revelli

Team AtScale is always evolving. Since being founded in 2013 in San Mateo, we’ve traveled across the country and in late 2018, broke ground on a second home in Boston. Throughout these six years, we’ve been recognized in CRN’s Emerginging Vendors: Big Data list, been named by BBJ as one of the “Best Places to […]

October 18, 2019

Should You Build or Buy Your Universal Semantic Layer?

It only makes sense that organizations are investing in universal semantic layers.  Providing analysts and business users universal access to data that can be understood by their BI tool of choice has become mission-critical. And that’s exactly what a universal semantic layer does. All of your data is virtually related into a common business language, […]

October 17, 2019

Solving the Challenges of Big Data in Finance with an Adaptive Analytics Fabric

Banking isn’t exactly a sexy industry. Thus, customer ‘delight’ seems to be something that would be completely out of their element—customers aren’t excitedly lining up to go to the bank like they do at the store the morning of an iPhone release. So it comes as no surprise that Forrester’s 2018 Banking Customer Experience Index […]

October 10, 2019

What is Data Loading?

Congratulations! You have made it to the final step of your ETL integration journey (or if you chose to follow the ELT path, you are now embarking on your second step). Data Loading, Defined  Data loading (the “L” in “ETL” or “ELT”), is quite simply the process of packing up your data and moving it […]

October 9, 2019

How Digital Transformation Enables Big Data Analytics

There’s sometimes a misconception in the understanding of Big Data. Isn’t is just analytics? They’re related, but in this movement, data has become not only bigger but more complex meaning that anyone seeking to glean intelligence from Big Data must first store and translate it for business consumption. It’s a big job and it’s well […]

October 7, 2019

Live Webinar: Rakuten Migrates Data from 10 Million Customers to Snowflake and AtScale

Since its founding in 1997, Rakuten has helped shape the way people shop online, offering cash back, deals and shopping rewards on the world’s largest selection of products and services. With a mission to help its employees get insights from company data faster, they knew that they needed to modernize their data architecture with a […]

October 2, 2019

How Adaptive Analytics Can Optimize Cloud Migration for the Healthcare Industry

The healthcare industry is enthusiastically undergoing digital transformation and embracing hybrid cloud architectures. However, cloud migration in the healthcare industry comes with significant challenges.  If there is any disruption to the migration process, or any compatibility issues between old and new data storage systems, PHI and other sensitive data could be lost or stolen, and […]

September 24, 2019

What is a Data Fabric? An Adaptive Analytics Fabric Answers Enterprise Demand for Agile, Data-Centric Architectures for Advanced Analytics

An Adaptive Analytics Fabric answers enterprise demand for agile, data-centric architectures for advanced analytics. Some of the top trends that data and analytics leaders need to address to be relevant and impactful in advancing their critical business priorities have been outlined in Gartner’s latest global market study. Gartner predicts these trends will have significant disruptive […]

September 17, 2019

ETL vs ELT: What’s the Difference? & How to Choose

Data Loading, part of the ETL trinity, is conceptually very easy. Where it gets interesting is – at what point do you do the loading? Pre or Post the Transformation, where data is transformed from one format or structure to another. ETL refers to the process of Extracting data from numerous source platforms, both relational […]

September 10, 2019

5 Essential Tips for Successful Cloud Migration (and how to avoid the “Gotchas”)

What is Cloud Migration? Cloud migration is the process of moving data and application hosting infrastructure from on-premise data centers to a public cloud hosting service like Amazon AWS, Google Cloud Platform or Microsoft Azure. Migrating your data center operations to a public cloud is not for the faint of heart. There are so many […]

September 9, 2019

Flexible, More Usable Data through Intelligent Data Virtualization

Enterprises migrating to the cloud must go beyond simply “lifting and shifting” data into the cloud and embrace an approach that fundamentally transforms how data will be used. AtScale enables the four important capabilities of intelligent data virtualization: Brings all data sources forward to be visible and valuable to users. Facilitates data security and data […]

September 6, 2019

The Four Cloud Transformation Capabilities of an Adaptive Analytics Fabric

An adaptive analytics fabric has the following four capabilities when bridging the gap between users and data: 1 – Bring all data (silos) to users’ fingertips IT organizations today have common server orchestration tools to manage their on-premises and cloud server resources. Universal data orchestration tools are needed to automate data engineering while providing a […]