Inside the Briefcase

IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

with Shawn Moore, Solodev
In this interview, Shawn Moore,...

Driving Better Outcomes through Workforce Analytics Webcast

Driving Better Outcomes through Workforce Analytics Webcast

Find out what’s really going on in your business...

Legacy Modernization: Look to the Cloud and Open Systems

Legacy Modernization: Look to the Cloud and Open Systems

On the surface, mainframe architecture seems relatively simple: A...

Still keeping your hybrid power systems indoors?  It’s time for change.

Still keeping your hybrid power systems indoors? It’s time for change.

Mobile telecommunications network equipment is expected to work without...

As the Network Changes, Engineers Are Embracing the DevOps Model

As the Network Changes, Engineers Are Embracing the DevOps Model

Businesses that have embraced digital transformation with a clear...

New Big Data Debt Calculator Helps Enterprise Organizations Measure Emerging Data Challenges

May 17, 2017 No Comments

SOURCE: Dremio

Mountain View, CA May 16, 2017 Dremio, a stealth data analytics company, announced today a new way for enterprise organizations to quickly identify the amount of data debt that has been created by applications built to address strategic business initiatives. Dremio’s Big Data Debt Calculator is a free and simple way to estimate unplanned costs that arise from the use of non-relational data management technologies such as Hadoop, MongoDB, Elasticsearch, and Amazon S3, as well as data that is spread across many sources. The calculator also gives recommendations for minimizing debt, strategies for paying it down and ensuring it remains within acceptable bounds.

Companies today are more than a decade into their digital transformation initiatives. They are digitizing key business functions with new classes of technology that are incompatible with traditional analytical workflows. Because all data has intrinsic analytical value, this tradeoff creates this analytical debt – Big Data Debt.

Many IT organizations have embraced non-relational technologies to become more agile and to deliver always on availability to a global user base; turning to alternatives for building next generation applications, third-party SaaS applications, cloud database offerings, and NoSQL. By taking this path, these organizations are trading reduced time to market for an inability to analyze the critical business data these systems create.

According to Tomer Shiran, co-founder and CEO, Dremio, “All data has a lifecycle, and for almost four decades, that lifecycle has been based on the relational model. The data, the tools for creating and analyzing the data, and the skills for mastering the data have all shared and benefited from a common approach. As the Big Data era emerged, new technologies were created to support modern data structures and to deliver to the always-connected user. These newer systems have an important role in building modern applications, however they produce data that is fundamentally incompatible with existing analytical infrastructures including data warehouses, ETL, BI and data science systems like R and Python. As a result, many organizations are collecting significant data debt.”

Learn more about Dremio’s Big Data Debt Calculator here.

Tweet this: @Dremio launches Big Data Debt Calculator http://dremio.com/data-debt-calculator

About Dremio

Dremio reimagines analytics for modern data. Created by veterans of open source and big data technologies, Dremio is building a fundamentally new approach that dramatically simplifies and accelerates time to insight.

News

Leave a Reply

(required)

(required)


ADVERTISEMENT

UC Expo

WITI

ITBriefcase Comparison Report