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July 22, 2019

Four Strategies for Risk-Free Cloud Data Migration

Four Strategies for Risk-Free Cloud Data Migration: This industry guide provides four practical ways intelligent data virtualization can improve the cloud data migration journey.

July 18, 2019

Interactive, Large Volume AI/ML Queries At Scale And Without Data Movement for Self-Service Analytics Empowerment

AtScale’s 2019.2 product release introduces a time-series and time-relative analysis capability for large volumes of data across disparate databases and platforms. This enables data analyst and data science teams to easily access large volumes of time-series data and quickly query and configure data for any (BI), artificial intelligence (AI) or machine learning (ML) tool.

July 11, 2019

What is an Advanced Analytics Fabric and Why Do You Need It?

What businesses need is a solution that intelligently virtualizes all their siloed data into a single, unified data view from which a variety of BI tools can get fast, consistent answers. AtScale's Virtual Data Warehousing solves the critical challenges facing companies with large data warehouses looking to move to the cloud.

July 3, 2019

AtScale + Snowflake: The Analytics Solution That Can Handle Data At Scale

Combine Snowflake with AtScale and you get an analytics platform that can handle the biggest data with the most complex analytics at scale.

July 3, 2019

What is Data Streaming?

Data streaming is important when real-time analysis is required, for retail customer experience, cyber security monitoring, and weather safety. This post explains data streaming vs. batch data movement, and the challenges and technologies associated with streaming.

June 24, 2019

Why AtScale Wins in the Cloud Data Platform Ecosystem

"Never make permanent decisions on temporary feelings". Technology is risky, and architectural decisions can have a considerable effect on the viability of your business. This post lays out strategies to future-proof your data architecture including rules around virtualization, security, reducing complexity.

June 20, 2019

What is a Cloud Data Warehouse?

We’re now witnessing a third wave of innovation in data warehousing technology with the advent of cloud data warehouses. As enterprises move to the cloud, they are abandoning their legacy on-premise data warehousing technologies, including Hadoop, for these new cloud data platforms. This post covers the benefits of a cloud data warehouse and factors to consider when you're ready to make the move.

June 19, 2019

Can the Cloud Rescue Retail?

Competition for consumer spend is a make-or-break proposition. Will retailers know their customer? Will they act with the speed and scale necessary to compete? If they take steps to fully leverage the cloud, they will.

June 14, 2019

What is Data Transformation?

Data transformation is the T in ETL - it's one-third of the holy trinity of Extract, Translate & Load (ETL). In the ETL process, Transform is the process of converting the extracted data from its previous form into the form it needs to be in so that it can be placed into another database.

June 13, 2019

Real-Time Data: Satisfying the Need for Speed in BI

Business Intelligence (BI) transforms how enterprises make decisions by delivering insights across the entire business. These insights are limited only by the curiosity of the people asking the questions and the speed at which the systems and software that support analytics can perform. BI relies on acceleration and performance (a.k.a. “speed”) to enable data exploration and data mining at a tempo that keeps the human brain engaged.

June 13, 2019

What is Unified Data, and Why Do You Need It?

The concept of virtualization is powerful and nuanced. There are many ways to virtualize data, and AtScale employs several of these methods to make deploying data services faster, more performant, secure and correct. One such interpretation of virtualization is representing diverse data from different origins as one “unified” database. What is Unified Data? Unified data […]

June 11, 2019

In search of $DATA

Salesforce acquires Tableau for $16B, adding momentum to the rapidly growing analytics space and further highlighting the need for AtScale's unique analytics architecture.

June 7, 2019

One CEO’s Perspective On Google’s Acquisition of Looker

AtScale CEO Chris Lynch provides his perspective on the exciting acquisition of Looker by Google.

June 5, 2019

Data Architecture Modernization: AtScale’s Release 2019.1 Enables Data Transformation Without Disruption

AtScale’s newest release 2019.1 helps us stay true to our mission of helping enterprises realize the value of their legacy platform investments and capitalize on the speed at which data is proliferating, specifically addressing the challenges associated with migrating from on-prem to cloud, RDBMS to Hadoop, and legacy BI to advanced analytics. Read on for more information about this product release.

June 3, 2019

GDPR Anniversary Renews Focus on Data Integrity

On May 25th, 2018 the EU enacted the new General Data Protection Regulations (GDPR). Now, one year on, the tentative returns are in. If you’re in the business of cloud transformation and responsible data deployment, you need to put a spotlight on data integrity and governance.

May 15, 2019

Data Virtualization: The Champion Of The Hybrid Cloud

Data virtualization connects data silos and enables a single view of data without having to physically integrate it. Learn more about data virtualization in the enterprise.

May 6, 2019

Seamless Adoption of Snowflake in the Cloud: Rakuten with AtScale

Rakuten, a leading cashback and rewards website, initially used AtScale to improve analytics performance on Hadoop. AtScale enabled Rakuten to seamlessly migrate to Snowflake while continuing to optimize performance on their new cloud data platform.

April 29, 2019

CDO Version.2019: Seven Keys To Defining The Job

The CDO presents an opportunity to define the priorities and pain points for a company’s most important asset: Data. Understand the 7 keys to this role.

April 25, 2019

How AtScale Helps Enterprises Improve Performance on Snowflake

Snowflake's cloud-based data warehouse enables companies to improve performance while minimizing cost when moving over from traditional data stores. AtScale's intelligent data fabric further augments the business benefits Snowflake provides.

April 19, 2019

Analyzing Gartner’s 2019 Magic Quadrant for Analytics

As the BI market continues to mature, Tableau and Microsoft retain their positions as the dominant players in Gartner's 2019 magic quadrant on BI and Analytics. ThoughtSpot and Looker are the two emerging vendors to watch.