Data Analytics: Beyond the Hype – A Survey by Dimensional Research

This report is based on a survey of 376 individuals with responsibility for data initiatives including 104 executives. The goal of the survey was to understand current experiences, challenges and trends with data analytics initiatives.

Key Findings:

Data initiatives are important, but have serious issues

  • 100% say data analytics is important
  • 48% of executives characterize data analytics as “critically important”
  • 88% have faced “failures” with recent data initiatives

Inflexibility of data infrastructure is the underlying cause of many challenges

  • Data inflexibility tops list of challenges faced by data and analytics
  • 59% of executives say their existing analytics infrastructure is too inflexible
  • 75% of executives are prevented from acting on business requests because their data infrastructure is too inflexible

Cloud-based analytics could help address barriers to data analytics

  • 99% find potential benefits of cloud analytics to be compelling
  • 92% would try more things in a pay-as-you-go model licensing
  • 74% of those that have adopted cloud analytics intend to grow use in the coming year


Please register to review the entire report.

SIGMOD Paper: The Snowflake Elastic Data Warehouse

“The Snowflake Elastic Data Warehouse” at SIGMOD

Snowflake’s paper “The Snowflake Elastic Data Warehouse” was accepted for publication and presentation at SIGMOD 2016, a leading international forum for database researchers, practitioners, developers, and users.

Please register to receive a complimentary copy of the paper, which provides an in-depth look at the innovative technology behind Snowflake’s cloud data warehouse offering. In this paper you’ll learn about:

  • Why Snowflake built a unique new architecture for data warehousing
  • How Snowflake’s new design enables capabilities including dynamic resizing, diverse data support, heterogeneous workloads, and more
  • How Snowflake’s design differs from other cloud data processing systems such as Amazon Redshift and Google BigQuery

Register to download your copy now.

CIO’s 15th annual State of the CIO study – Special Foreword from Snowflake

CIO’s 15th annual State of the CIO study – Special foreword from Snowflake Computing

CIO’s 15th annual State of the CIO study finds that IT executives are under intense pressures as they work strategically to digitally transform their businesses and defend company-sensitive information from cyberattacks, all while also trying to build an IT organization that can keep up with the pace of change.


Check out Snowflake’s exclusive foreword to the 2016 State of the CIO Survey, authored by Jon Bock, VP of Marketing and Products.


“Today, technologies such as the cloud, big data, andanalytics are blurring the lines between IT and business roles—mostly for the good, but not without challenges. The “2016 State of the CIO Survey” reveals the good in those blurred lines: IT executives who have strong relationships with business stakeholders fare better as they deal with the
challenges that accompany digital transformation and all it entails, from cybersecurity to complexity and loss of control.”

Please register to receive the entire report.

Where Do I Go from Here?

Demystifying Elastic Data Warehousing: Enabling High-Speed Analytics in the Cloud

TDWI E-Book:

Demystifying Elastic Data Warehousing: Enabling High-Speed Analytics in the Cloud

  • Q&A: Elastic Data Warehousing: A Modern Solution for Data Analytics
What do elastic data warehouses offer, what do they look like, and what technologies do they use?
In this interview with Jon Bock, vice president of product and marketing at Snowflake Computing, we discuss the challenges, benefits, and use cases of elastic data warehouses, as well as how to evaluate the technology.
  • Top 5 Reasons for Data Warehouse Modernization

In recent surveys by TDWI Research, roughly half of respondents report that they will replace their primary data warehouse (DW) platform and/or analytic tools within three years. Ripping out and replacing a DW or analytics platform is expensive for IT budgets and intrusive for business users. This raises the question:

What circumstances would lead so many people down such a dramatic path?

  • The Elastic Data Warehouse: Data Warehousing Reinvented for the Cloud

For enterprises looking to move from on-premises solutions to the cloud, the elastic data warehouse offers a new way to merge the power of the cloud with the needs of a 21st-century enterprise.

Register today to read the entire E-Book.

Overcoming the reality gap of big data

The ability to access and analyze data is the critical foundational element for competing in new and old industries alike. Yet, a recent survey of IT executives finds that most are still struggling— and frustrated—with widely used data analytics tools.

Survey findings:

Ease of use is top requirement

For data users, far too much time is spent waiting to get access to the data.

Conventional data warehouses were architected for static, predictable workloads, but organizations today are trying to accommodate dynamically changing data and the growing desire for more analytics-based applications and processes.

Helping You Drive Decisions with Data

Organizations are increasingly dependent on different types of data to make successful business decisions. But as the volume, rate, and types of data expand and become less predictable, conventional data warehouses cannot consume all this data effectively. Big data solutions like Hadoop increase the complexity of the environment and generally lack the performance of traditional data warehouses. See how Snowflake cloud-native data warehouse meets these challenges and helps in transforming data for business decision making.

Cloud Data Warehouse Security

Financial Services organizations that deal with sensitive data are paradoxically finding themselves under pressure to make that data more accessible to authorized stakeholders and to find more practical and seamless ways to share it securely with users inside and outside the organization.

The threat of a data security breach, someone gaining unauthorized access to an organization’s data, is what keeps CEOs and CIOs awake at night. Such a breach can quickly turn into a public relations nightmare and result in lost business and steep fines from regulatory agencies.

In this whitepaper you will understand the ways that the cloud addresses these issues and how the right cloud data warehouse partner can provide a secure and protected environment for customer data, protecting data in-transit and at rest from current and evolving threats.

Extreme Availability: Delivering a Resilient Data Warehouse Service

Learn about Snowflake’s built-in comprehensive fault tolerance and resiliency capabilities – designed for the cloud.

White Paper Abstract:

A constantly-growing number of users and applications depend on data warehouses and the data in them. That makes it critical to ensure that the data warehouse is always online, without disruptions. Ensuring that requires fault tolerance across multiple dimensions:

  • Data protection prevents data loss 
  • Data availability ensures that data is always accessible 
  • Query resiliency provides fault tolerance for query processing 
  • Service availability protects access to the data warehouse service Regardless of the cause–from hardware or data center failures to overloaded systems to software upgrades, modern data warehouse deployments are expected to be resilient and fault tolerant.  

Efficient Processing of Semi-Structured Data

Learn how Snowflake’s unique approach to processing semi-structured data makes it possible load and query semi-structured data and structured data together in one system, without transformation and without performance compromise.

Continuous Data Protection

Learn about Snowflake’s total data protection

  • Encryption: data always encrypted, automatically
  • Redundancy: automatic replication designed for “11 9’s” of protection
  • Instant recovery: self-service data recovery via SQL

White Paper Abstract:

Traditional data warehouses provide only a baseline level of protection. For example, data warehouses often provide basic access control mechanisms to control data access, and they provide an internal data replication factor to maintain additional copies of data within the cluster as protection against disk or node failure. However, additional protection beyond this basic layer is the responsibility of the user—the user needs to evaluate, select, implement, and monitor firewalls, database backup, external data replication, network security, datacenter security, and more. The cost and complexity of these additional measures adds a significant burden to already stretched IT organizations.”