Big Data 50 - Companies Driving Innovation

In 2006, Amazon Web Services (AWS) began offering IT infrastructure services to businesses in the form of web services -- now commonly known as cloud computing. One of the key benefits of cloud computing is the opportunity to replace up-front capital infrastructure expenses with low variable costs that scale with your business. With the Cloud, businesses no longer need to plan for and procure servers and other IT infrastructure weeks or months in advance. Instead, they can instantly spin up hundreds or thousands of servers in minutes and deliver results faster. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. AWS offers a wide range of database services to fit your application requirements. These database services are fully managed and can be launched in minutes with just a few clicks. AWS database services include Amazon Relational Database Service (Amazon RDS), with support for six commonly used database engines, Amazon Aurora, a MySQL-compatible relational database with five times the performance, Amazon DynamoDB, a fast and flexible NoSQL database service, Amazon Redshift, a petabyte-scale data warehouse service, and Amazon ElastiCache, an in-memory cache service with support for Memcached and Redis. AWS also provides the AWS Database Migration Service, a service which makes it easy and inexpensive to migrate your databases to AWS cloud.

Over the past few years, a growing number of organizations have launched programs to evaluate, pilot, and integrate Hadoop into the enterprise.

To better understand the current state of the Hadoop adoption and the productionalization process, and to provide insight into the current state of integration among a variety of organizations, Decisionworx, in collaboration with The Bloor Group, recently published findings from their ‘Hadoop in Transition, From Proof-of-Concept to Production’ survey1. Results showed that in spite of the growing pool of reported Hadoop success stories, we are still in the early stages of Hadoop adoption.

At a high level, the most frequently-cited business drivers for Hadoop adoption include predictive analytics, the ability to use a data lake, warehouse augmentation, and real-time analytics. The researchers suspect that the more mundane use cases such as a data lake or warehouse augmentation provide practical value while positioning the organization to embrace more sophisticated application capabilities like analytics. However, data ingestion, enterprise integration, application development, and integration within the data architecture are still seen as being challenging.

Researchers concluded that organizations desiring to stay competitive as Hadoop use becomes more mainstream should invest in proactive training programs for staff members, as well as partner with Hadoop support providers and technology vendors like Attunity that can help automate and better manage the design, development, deployment, integration and continuous operations of their Hadoop ecosystem.

To read the full report findings and analysis, please visit http://bit.ly/AttuHadoopRpt

1Source: DecisionWorx, LLC Hadoop in Transition: From Proof-of-

Concept to Production Report, produced by David Loshin and Abie

Reifer, in collaboration with The Bloor Group, July 2016.

BDNA® creates the most authoritative enterprise technology data. Armed with this invaluable information, enterprises make the best decisions possible, lower costs and risks, as well as accelerate the pace of their business.

To produce the most relevant results, BDNA maintains Technopedia®, the most complete, current and reliable content repository about hardware, software and connected devices. This catalog is the foundation from which BDNA creates the highest quality enterprise IT data in the industry, which in turn results in visibility, insight and information enterprises can trust.

Venture-backed and based in Mountain View, Calif., BDNA operates globally with customers across all segments and vertical markets. For more information, please visit www.bdna.com.

We are Cask—the company that makes building and running big data solutions easy. We provide the first unified integration platform for big data that cuts down the time to production for data applications and data lakes by 80%.

Our flagship product, the Cask Data Application Platform (CDAP), which is 100% open source, lets developers, architects, data scientists and operators focus on applications and insights, rather than infrastructure and integration.

CDAP accelerates time to value from Hadoop through standardized APIs, configurable templates and visual interfaces, and it increases efficiencies through reusable and portable components.

With CDAP and its extensions—Cask Hydrator for codefree creation of data pipelines, and Cask Tracker for data discovery and metadata—IT organizations can quickly enable a well-governed self-service environment for data, empowering their business to make better decisions faster.

CDAP removes barriers to innovation as an extensible and future-proof platform that provides consistency across environments; it easily integrates with existing MDM, BI and security solutions.

Cask offers enterprise-grade customer support and training. Major customers and partners include AT&T, Cloudera, Ericsson, Lotame and Salesforce. For more information, visit the Cask website at cask.co and follow us @caskdata.