It is not uncommon for SAP system copies, including any post-editing, to take several days to complete. Meanwhile, testing, development and training activities come to a standstill, and the large number of manual tasks in the entire process ties up highly skilled SAP BASIS staff.
Enterprises are looking to automation as a way to accelerate SAP system copies and free up staff. However, this is only one part of the problem: What further complicates the system copy process is the need to safeguard sensitive data and manage huge data volumes while also ensuring that the data used in non-production systems adequately reflects the data in production systems so the quality of development, testing and training activities is not compromised.
This white paper explains how a considerable portion of the SAP system copy process can be automated using the CA Automic Automated System Copy for SAP solution and SNP T-Bone, helping enterprises become more agile.
Clutch Group provides litigation, compliance, and legal services to major Fortune 500 companies in sectors with large legal exposure (Finance, Life Sciences, Natural Resources, etc.). By using purpose-built technology solutions to extract deep insights from large data volumes, the company transformed its business approach of helping client firms make better legal decisions.
As cams and digital video become more critical to law enforcement, their success will be in large part dependent on the ability to efficiently store and access that data. In this case study we look at Novus Insight, a leading integrator of managed video storage for law enforcement agencies, and their decision to use Wasabi Hot Cloud Storage. Novus is tasked with helping law enforcement manage the massive volumes of digital video evidence that body and dash cams are creating. Not a simple proposition for these budget and resource constrained public agencies. After surveying the available options Novus found going with Wasabi an easy choice. Wasabi’s revolutionary storage technology allows for an unprecedented combination of speed, affordability and security. It not only brings Novus the instantly scalable cloud solution they need, it dramatically improves performance and economics at the same time. To learn more about how Novus and Wasabi are helping enable better policing through bette
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data.
Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
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