Published By: Dell EMC
Published Date: Nov 09, 2015
While the EDW plays an all-important role in the effort to leverage big data to drive business value, it is not without its challenges. In particular, the typical EDW is being pushed to its limits by the volume, velocity and variety of data.
Download this whitepaper and see how the Dell™ | Cloudera™ | Syncsort™ Data Warehouse Optimization – ETL Offload Reference Architecture can help.
Smart on-line transaction processing systems will be able to leverage transactions and big data analytics on-demand, on an event-driven basis and in real-time for competitive advantage. Download to learn how!
Forward-looking enterprises know there's more to big data than strong and managing large volumes of information. Big data presents an opportunity to leverage analytics and experiment with all available data to derive value never before possible with traditional business intelligence and data warehouse platforms. Through a modern, big data platform that facilitates self-service and collaborative analytics across all data, organizations become more agile and are able to innovate in new ways.
While the concept of big data is nothing new, the tools and technology and now in place for companies of all types and sizes to take full advantage. Enterprises in industries such as media, entertainment, and research and development have long been dealing with data in large volumes and unstructured formats - data that changes in near real time. However, extracting meaning from this data has been prohibitive, often requiring custom-built, expensive technology. Now, thanks to advancements in storage and analytics, all organizations can leverage big data to gain the insight needed to make their businesses more agile, innovative, and competitive.
The digital revolution will be won by those who can most efficiently store and leverage their ever-increasing amounts of data. The answer for that is in the cloud. Only the cloud can answer our seemingly bottomless need for storage, and, now thanks to Wasabi, do it with revolutionary speed and affordability. Wasabi is 80% less than and 6x faster than Amazon S3. Migrating to the cloud is now not just a necessity, it’s a smart business decision. Understand what’s coming and how to navigate it. Download 'Surviving the big data apocalypse’
Project management relies primarily on past performance to predict future results, however many companies still lack forward-looking capabilities to predict project outcomes and ensure success. Enhancing project management with PLM analytics offers the opportunity to switch from task-based activities to performance-driven ones to improve success rates.
Use PLM Analytics to:
• Gain actionable insight and valuable intelligence
• Dramatically boost business value and improve project management performance
• Reduce error-prone behavior like manual data collection
• Leverage big-data capabilities and project intelligence
Learn how to extend the value of your PLM investment and improve business performance for your company.
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
Customers across all industries are transitioning to the 3rd Platform, where IT organizations are seeking to leverage mobile, social, cloud, and big data solutions to drive business value. At the same time, the pace at which the business operates is continually accelerating.
Published By: MarkLogic
Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to:
- Make the world more secure
- Provide access to valuable information
- Create new revenue streams
- Gain insights to increase market share
- Reduce b
Big Data is an opportunity for CSPs to create the intelligence for operating networks more efficiently, to analyze the success of the services that telcos are offering, and to create a better personal experience for their customers. Learn how to leverage the Big Data opportunity.
It is important for healthcare organizations to become data driven. IBM can help organizations leverage a wide range of big data to deliver clinical and financial benefits, and the provide the steps organizations should take to become data driven.
This white paper will discuss how big data analytics, coupled with the right facilities and asset management software, can provide next-generation opportunities to improve facilities and asset management processes and reutnrs. It will examine how different organizations successfully use big data generated by their facilities and assets to help increase revenue, power operational efficiency, ensure service availability and mitigate risk. Most importantly, this white paper will reveal how your organization can leverage big data analytics to achieve similar benefits and transform the management of your organization's facilities and assets-and ultimately, your business.
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.
IBM® Information Governance Catalog helps you understand your
information and foster collaboration between business and IT by establishing
a common business vocabulary on the front end, and managing
data lineage on the back end. By leveraging the comprehensive capabilities
in Information Governance Catalog, you are better able to align IT
with your business goals.
Information Governance Catalog helps organizations build and maintain
a strong data governance and stewardship program that can turn data into
trusted information. This trusted information can be leveraged in various
information integration and governance projects, including big data integration,
master data management (MDM), lifecycle management, and
security and privacy initiatives.
In addition, Information Governance Catalog allows business users to
play an active role in information-centric projects and to collaborate with
their IT teams without the need for technical training. This level of governance
and collaboration c
Scalable data platforms such as Apache Hadoop offer unparalleled cost
benefits and analytical opportunities. IBM helps fully leverage the scale
and promise of Hadoop, enabling better results for critical projects and
key analytics initiatives. The end-to- end information capabilities of
IBM® Information Server let you better understand data and cleanse,
monitor, transform and deliver it. IBM also helps bridge the gap between
business and IT with improved collaboration. By using Information
Server “flexible integration” capabilities, the information that drives business
and strategic initiatives—from big data and point-of- impact analytics
to master data management and data warehousing—is trusted, consistent
and governed in real time.
Since its inception, Information Server has been a massively parallel
processing (MPP) platform able to support everything from small to very
large data volumes to meet your requirements, regardless of complexity.
Information Server can uniquely support th
Published By: Attunity
Published Date: Nov 15, 2018
With the opportunity to leverage new analytic systems for Big Data and Cloud, companies are looking for ways to deliver live SAP data to platforms such as Hadoop, Kafka, and the Cloud in real-time. However, making live production SAP data seamlessly available wherever needed across diverse platforms and hybrid environments often proves a challenge.
Download this paper to learn how Attunity Replicate’s simple, real-time data replication and ingest solution can empower your team to meet fast-changing business requirements in an agile fashion. Our universal SAP data availability solution for analytics supports decisions to improve operations, optimize customer service, and enable companies to compete more effectively.
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