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.
Ensures IT can drive success in the future AEW Energie can now be confident that it has the IT to support new developments. With energy demands increasing and authorities applying pressure for cleaner energy production, companies such as AEW Energie continue to look for ways to solve those challenges. AEW Energie now has a reliable and efficient IT infrastructure that helps support innovation in the firm’s efforts to find the right solutions and meet the needs of multiple stakeholders.
This paper introduces five architectural principles guiding the development of the next generation data center (NGDC). It describes key market influences leading a fundamental enterprise IT transformation and the technological trends that support it. The five principles are: scale-out, guaranteed performance, automated management, data assurance, and global efficiencies. Cloud infrastructure delivery models such as IaaS, private clouds, and software-defined data centers (SDDC) are foundations for the NGDC. In an era where IT is expected to ensure productiongrade support with a plethoric flow of new applications and data, these models demonstrate how to eliminate bottlenecks, increase self-service, and move the business forward. The NGDC applies a software-defined everything (SDx) discipline in a traditional, hardware-centric business to gain business advantage.
Enterprise customers can take advantage of the many benefits provided by Amazon Web Services (AWS) to achieve business agility, cost savings, and high availability by running their SAP environments on the AWS Cloud.
Many Enterprise customers run SAP production workloads on AWS today; including those that run on NON-SAP DBs (Oracle, MS SQL, DB2) or on SAP DBs (SAP HANA, SAP ASE). To support the demand of high memory instances, AWS have disclosed their SAP HANA instance roadmap (8TB and 16TB in 2018) and just made 4TB x1e instances available. A few examples of how AWS helped SAP customers cut costs, improve performance and agility include BP reducing 1/3 of their SAP infrastructure cost, Zappos successfully migrating to SAP HANA on AWS in less than 48 hours and enabling a major Healthcare and Life Science company to run BW on HANA with 30% better performance vs. on premise.
This guide is intended for SAP customers and partners who want to learn about the benefits and options for running SAP solutions on AWS, or who want to know how to implement and operate their SAP environment effectively on AWS.
Today, a range of diverse cyber-adversaries — including nation-states, cybercriminals, competitors, hacktivists, and insiders/contractors — pose financial, reputational and regulatory risk to industrial and critical infrastructure organizations.
The business impact can include costly production downtime, safety failures, and environmental release of hazardous materials, as well as theft of corporate secrets such as sensitive information about formulas and proprietary manufacturing processes.
The challenge is compounded as organizations adopt digitization initiatives and IT/OT convergence to support the business — removing any “air-gaps” that may have existed in the past.
To help security and operations teams stay ahead of the latest ICS/SCADA threats, CyberX — the industrial cybersecurity company founded by military cyber experts with nation-state experience securing critical infrastructure — has partnered with SANS to create educational content about emerging ICS threat vectors and
Enterprise project portfolio management (EPPM) is mission critical to the oil and gas industry, which is driven by billions of dollars in capital investments. These large-scale exploration and production projects, if they fail, have an impact on the company and their share price. EPPM provides that full end-to-end capability to support the capital asset lifecycle – from planning, building & construction, operation & maintenance, to decommissioning. Read seven quick wins to lower costs and discover how to accelerate revenue.
Knowing the potential benefits of cloud computing, IBM implemented this technology for six workloads—development and test, analytics, storage, collaboration, desktop and production application. And the results have yielded significant financial and operational improvements. IBM shares some key insights through this report, learned after a successful move to cloud, including different ways in which each workload benefited. It also reveals how adopting cloud enabled significant improvements in efficiency, innovation, service and support levels. Download: Success in the cloud: Why workload matters.
Companies are trying to improve efficiencies and performance of many real-time operational business practices, including customer experiences, inventory & purchasing, manufacturing yield, BAM and BPM. This white paper explores strategies and capabilities that best-in-class companies are employing to improve operational performance.
The bank wanted to modernize its global data center core and edge networks to move to the next stage of its private cloud journey. The bank has long recognized the advantages of server virtualization, and it wanted to move more aggressively to a software-defined data center. The bank was virtualizing all services, including compute, storage, and network, to gain greater business flexibility and deliver cost savings. But first, it needed an elastic, flexible, and production ready network to connect its data centers.
The bank wanted a dynamically scalable network to interconnect its data centers in Europe, Asia, and North America, so that it could move toward a fully automated, self provisioned cloud. The global network needed to deliver performance at scale for the company’s highly virtualized resources, while also supporting integration of legacy assets into its software-defined data centers.