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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 […]

September 5, 2019

Cloud Transformation: The Next Data Frontier for Business Intelligence, Machine Learning and AI

Intelligent data virtualization will unlock your enterprise shared data intellect. Cloud transformation is happening. The shift to the cloud will drive $1.3T in IT spending by 2022 (Gartner) and spending on public cloud services will total $277B by 2021, a compound annual growth rate (CAGR) of 21.9% (IDC). Enterprises are migrating to the cloud with […]

August 26, 2019

Intelligent Data Virtualization: The Silver Bullet in Next-Gen Big Data Governance

The winners in today’s data-driven economy will be the organizations that can quickly, accurately, and consistently glean profitable business insights from their enterprise data warehouse. This means that robust data governance and analysis is one of the most valuable abilities a company can invest in. Yet data science is often plagued by questionable data integrity. […]

August 20, 2019

Creating an Enterprise AI Strategy: If Your Company Isn’t Good at Analytics, It’s Not Ready for AI

There are many ways to be successful. Often the path you choose in business is so incredibly contextual—to your market, to your people, and to things as seemingly benign as your geographic location. No one article, or person, can define a path to success. However, what I can do is offer some insight into known […]

August 14, 2019

How Intelligent Data Virtualization Helps Orchestrate Security Policies Across Your Hybrid Cloud

Virtualization uses the concepts of abstraction to decouple data-consuming clients from the means of materializing the answers to their questions. Abstraction is the most powerful technique we have in computer science. As users demand more sophisticated software, and business environments evolve, inevitably the complexity of their data environments increases dramatically. I think the ability to […]

August 7, 2019

Five Areas Where Intelligent Data Virtualization Gives Retailers a Competitive Edge

Data virtualization gives retailers a competitive edge in five key areas of their operations, as well as the benefits of a shared data intellect today, no matter where they are in their cloud migration journey.

August 5, 2019

Supercharge your DataOps: CIO and CDO unite to create a shared data intellect

DataOps will help organizations clear technical hurdles in order to develop cross-functional programs that use data more effectively.

August 2, 2019

How to Data Model on a Cloud Data Warehouse

New data model advancements (nested and non-scalar data types) for data lakes and cloud data warehouses are a game changer. However, the existing BI and AI toolsets are really not geared to take advantage of these new innovations. AtScale’s Adaptive Cachet will readily accept your existing star schemas and optimize them for the data denormalization and full table scans these data platforms prefer automatically.

July 26, 2019

Removing Cloud Migration Roadblocks

Organizations migrating to the cloud are missing a crucial element that is slowing and complicating the migration process. Short circuit the challenges of cloud migration with a new perspective on data access and management.

July 26, 2019

What is Data Extraction?

Data extraction is perhaps the most important part of the Extract/Translate/Load (ETL) process because it inherently includes the decision making on which data is most valuable for achieving the business goal driving the overall ETL. These decisions will heavily influence the viability of downstream use of the data, so it's critical to ensure there's a correlation between the data you are extracting and the decisions it will be used for.

July 26, 2019

7 Factors to Consider for Successful Cloud Transformation

This blog reveals the seven key challenges an organization must overcome in order for their cloud data transformation process to succeed, and explains how Virtual Data Warehouses are the best solution to doing so.

July 23, 2019

AtScale + Google BigQuery: Live Excel Connection and OLAP for a Powerful Multi-dimensional Analytics Platform

AtScale and Google BigQuery together provide a cost effective, business friendly, analytics solution that includes a universal semantic layer, predictable performance, data governance and security all in one.