Published By: Veritas
Published Date: Dec 08, 2016
This Infographic outlines the below:
The Data Environment
How Active is the Data?
Poor Data Behaviour Exposes Organisations to Risk
Organisations that Deploy Information Governance Strategies are more Successful at Achieving these Desired Outcomes
Les big data sont plus qu’une simple mode. Ces dernières années, les systèmes analytiques sont rapidement devenus un outil essentiel pour les entreprises afin de rassembler et d’interpréter des informations sous diverses formes.
Published By: Teradata
Published Date: May 02, 2017
Kylo overcomes common challenges of capturing and processing big data. It lets businesses easily configure and monitor data flows in and through the data lake so users have constant access to high-quality data. It also enhances data profiling while offering self-service and data wrangling capabilities.
Apache® Spark™ has become a vital technology for
development teams looking to leverage an ultrafast
in-memory data engine for big data analytics. Spark
is a flexible open-source platform, letting developers
write applications in Java, Scala, Python or R. With
Spark, development teams can accelerate analytics
applications by orders of magnitude
Massive amounts of data are being created driven by
billions of sensors all around us such as cameras, smart
phones, cars as well as the large amounts of data across
enterprises, education systems and organizations. In
the age of big data, artificial intelligence (AI), machine
learning and deep learning deliver unprecedented
insights in the massive amounts of data.
“In the rush to develop apps faster and deliver more, it’s easier than ever for things to fall through the cracks, like every hasty +1’ed dev/test environment creating a potential security minefield of unmasked sensitive fields.
Without the right dev processes, it’s not just security that suffers. With the typical developer spending around 12-hours a week on tasks like setting up and configuring environments or relying on worthless fake data, productivity and quality often fall victim too.
Download the Developer Confessions chapter to discover the biggest frustrations we hear from developers, how to balance access to data with data security, and proven ways to speed up developer productivity.”
You know that moving to the cloud is a huge opportunity for your business do great things. Be more agile, be more responsive, do things better.
But convincing everyone in your business isn’t easy, especially your security and compliance people who may well see the cloud as too big a risk.
This eBook is about answering those security questions – and communicating the six core benefits a data secure cloud will bring to your organisation.
SAP has reviewed and qualified Vormetric’s Transparent Encryption as suitable for use in SAP HANA solution environments. Vormetric provides a proven approach to securing SAP data that meets rigorous security, data governance and compliance requirements. Vormetric Data Security can be quickly deployed to secure data while requiring no change to SAP, the underlying database or hardware infrastructure. This approach enables enterprises to meet data governance requirements with a rigorous separation of duties.
Whether you are securing an existing SAP deployment or upgrading, to a new version, Vormetric delivers a proven approach to quickly secure SAP data while ensuring SAP continues to operate at optimal performance.
In this book, you look at how the Smarter Process approach helps you create a more customer-centric organization. You discover how four major technologies — mobile, cloud computing, Big Data, and social collaboration — are disrupting the way you do business and how you can work through the challenges.
To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources.
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage.
Read the eBook to: 1) Expand what you know about Big Data; 2) Learn about the Big Data Zones Model that brings a new approach to managing data, faster to deploy, faster to insights and with less risk; 3) Gain confidence in your Big Data projects and learn about the importance of governance in a Big Data world
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together to: *Recognize patterns that suggest opportunity or risk *Create and shape business events by automating decisions *Bring more dimension and precision to decision making by applying analytics to big data *Help you implement the right business processes by understanding data in context.
IBM commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study and examine the potential return on investment (ROI) enterprises may realize by leveraging IBM InfoSphere Information Integration and Governance (IIG) solutions.
While the term 'big data' has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades. IBM InfoSphere Information Server is designed to help organizations understand, cleanse, monitor, transform and deliver data.
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization. It includes simple steps you can take to start exploring - and implementing - this strategy for handling the challenges of hybrid data environments.