In the expanding world of Big Data, there is more and more information out there that can help your organization target the right customers with the most effective messages for the right products and services at the right time. EMC IT is using data lake technology to help our Marketing and Sales teams gain unprecedented insights into our customer behaviors, needs and sentiments to drive effective marketing.
At the center of this effort is our Marketing Science Lab, which provides advanced analytics support for Marketing using a shared Marketing and Sales workspace in the data lake. The Lab collaborates with Sales on shared data and models to deliver 360 views of customer behaviors by analyzing a vast array of data from internal and increasingly, external sources.
When introduced, Infrastructure as a Service (IaaS) was revolutionary in that it promised IT data centers a vehicle for virtualization and rapid provisioning of physical platform components (compute, network and storage). Today’s IaaS solutions have grown to fulfill that promise and much more. Now with the fast adoption of Platform as a Service (PaaS), IT data centers have broadened their rapid provisioning offering to include additional layers such as the operating system, middleware, and application runtime components.
PaaS essentially holds the key to a leaner, faster, more flexible approach to next-generation application development. Application developers are now up and running in hours and minutes as opposed to what would have taken days or even weeks in the “pre-PaaS” era.
Not only does PaaS allow your development environments to be enabled quickly, it also provides your programmers with the complete set of integrated services they need to deliver robust applications such as relational databases, message-queuing, caching, etc. (more…)
The Business Data Lake(BDL) is positioned as the one-stop-shop for all of the organization’s (big) data storage and analytics requirements. It is intended to address the three V’s of Big Data analytics – Volume, Variety and Velocity – by providing a vast amount of storage, ingestion of streaming, mini-batches and batches of data, either structured, semi-structured or unstructured. It fundamentally shifts the paradigm in business data storage and analytics by consolidating the multiple silos of data that can be found in organizations today.
IT Proven allows you to leverage Dell IT’s first-hand knowledge and best practices to accelerate your own IT transformation journeys, transforming operations and delivering IT as a Service through the power of cloud computing. IT Proven highlights how Dell IT transformed into an agile, innovative, and competitive service provider.
Data is growing exponentially, challenging IT organizations to adopt and embrace new methodologies to harness and empower data faster than ever. Yet, the challenge isn’t just managing data’s explosion but doing so in a way that provides easier access and performance for the business while keeping costs to a minimum.
This is the equation facing most database administrators. How can they meet the challenge of simplifying data while pleasing the business? Through EMC IT’s implementation of XtremIO and the benefits derived from the all flash array, a balanced performance was achieved that features simple provisioning, a suite of powerful features, while providing database consolidation and increased response times.
In an age when most companies invest to become data-driven, the value of data is increasingly a key criteria for making IT decisions, and the protection of the data becomes paramount to those decisions
When making backup-related decisions, price justification involves the potential capital loss to the organization when a data loss or unavailability occurs. Understanding the value of data and access to that data is key when prioritizing backup technology or even for deciding which infrastructure to protect during a cyber-attack. However, estimating this price is not trivial.
I recently worked on a research project with a team of academic partners at Ben-Gurion University for prioritizing data replication to minimize the monetary loss in the case of a disaster. The method we derived can limit the costs of data loss, and could provide a high return on investment (ROI) of up to one million dollars per incident.
Creating a data protection strategy for your organization is a little bit like selecting the right insurance policy for your home. It isn’t the most flashy of endeavors and nobody likes paying those insurance premiums, but when a hurricane rips the roof off your house, you’re glad that you took the time to do it right.
Structuring your data protection strategy is not exclusively an IT decision. It’s primarily a business decision involving a range of stakeholders (not just IT) which provides the products, solutions and processes to execute that strategy based on the value of the data and the objectives of the business.
Data protection is not a one-size-fits-all process, as we in EMC IT, have come to learn. The following are best practices and lessons learned that EMC IT uses to create and maintain our data protection strategy. (more…)
If your organization is running SAP’s software products and applications, SAP’s in-memory computing platform, SAP HANA, offers tremendous game-changing potential for delivering business value via data analytics. However, as EMC IT recently discovered, there are key steps you should take to pave the way for leveraging this new platform.
EMC is still a relatively new customer of SAP’s software products and applications, having gone live with a large-scale greenfield SAP deployment back in July 2012. The implementation program continues to thrive, having added more SAP modules and solutions over the course of the last couple years, and gearing towards a large SAP CRM deployment in 2016.
When it comes to running your IT operation like a business to deliver IT as a Service (ITaaS) and competing with outside providers, Service Portfolio Management (SPM) is where the rubber meets the road.
SPM is the process by which your IT organization makes sure your service catalog is providing the right mix of services that will meet customers’ needs and deliver business value while at the same time enabling you to be a financially viable service provider. Or, put in plain business terms, SPM is how you make sure you are selling the right product mix to meet your customers’ demands (and needs) at the right price to keep you in business–to keep IT relevant. It is basic supply and demand.
That said, achieving SPM as you transform your traditional IT operation to ITaaS has its challenges. EMC IT has been in the process of transforming to an ITaaS model for several years now. And just as our transformation journey has been a learning process, so has our journey to effective SPM.
First off, my apologies for delaying the last part of this four part blog for so long. I have been building a fully automated application platform as a service product for EMC IT to allow us to deploy entire infrastructure stacks in minutes – all fully wired, protected and monitored, but that topic is for another blog.
In my last post,Best Practices For Virtualizing Your Oracle Database With VMware, the best practices were all about the virtual machine itself. This post will focus on VMware’s virtual storage layer, called a datastore. A datastore is storage mapped to the physical ESX servers that a VM’s luns, or disks, are provisioned onto. This is a critical component of any virtual database deployment as it is where the database files reside. It is also a silent killer of performance because there are no metrics that will tell you that you have a problem, just unexplained high IO latencies.
There are two trains of thought when you talk to people about virtualization. From the infrastructure point of view, it is all about getting more efficiency out of the physical infrastructure layer. On one hand you can try to go extreme with this approach, but it will come at the expense of incurring higher administrative costs required to constantly troubleshoot performance and functionality issues. The other point of view is mainly about reserving all of the resources of the underlying servers, just in case the application needs it. Fortunately, with VMware vSphere you can have both, by using a more balanced approach.
I promised, in my earlier posts, that I would publish the secret sauce to achieving both great performance and high efficiency when virtualizing Oracle databases – so here it is. I have broken it up into four categories: memory, networking, CPU and storage (vSphere datastores). I will actually save the datastore best practices for the next and last post in this series, due to their complexity.
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