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Archive for July, 2015

Save the Gambling for Vegas- The case for BURA

Posted on: July 24th, 2015 by Daniella Lundsberg

Here’s a tip: Gamble as much as you are willing to lose. That small pearl of wisdom could be just as valuable to you in the context of your data center as it could be at the craps tables in Las Vegas. When it comes to safeguarding your data, traditional data protection and retention may no longer be enough to hedge your bet. Now is a good time to consider your backup, recovery and archive (BURA) options.

Greater dependence on data means backup alone won’t cut it

According to research reported by ESG, about half of organizations (49%) have a 15-minutes or less tolerance level for mission-critical application downtime. Their tolerance for normal business applications (not quite mission-critical) downtime didn’t differ by much1. Furthermore, according to a Gartner survey, the average cost of network downtime cited was $330K/hour. Naturally, you’d expect to see a wide range based on the business environment, but even at a low-end range of $140K/hour, we can agree that downtime is costly2. As service level agreements (SLAs) become even more stringent, expect to see tolerance drop as costs increase.

Enterprise IT managers are faced with a great deal of complexity. Protecting your business-critical applications without impacting performance is challenging. The volume and scale of data, along with its exponential growth, and the proliferation of virtualized environments just add to the complexity. Traditional hierarchical backup approaches can’t deliver the agility, affordability, and protection you demand.

The use of traditional backup software alone as a primary method of data protection has been fading (from 62% in early 2013 to 44% in 2014). At the same time, the use of array-based snapshots and replication – in conjunction with backup software – has increased from 34% to 51% among midsize and large enterprises.3

A better, more comprehensive approach

When you’re looking for a comprehensive, tiered and converged data protection architecture that balances availability and protection, combining snapshots and backup gives you the best of both worlds. The combination yields the near-instant, non-intrusive availability of snapshots with the reliable recovery and cost-effective retention of backups, delivered in an application-aware, storage-integrated data protection solution.

HP’s answer is to bring primary and backup storage closer together with a single data protection architecture that offers flexible options covering a wide spectrum of recovery scenarios. HP StoreOnce is the fastest backup on the market with federated deduplication so you can get back up and running faster when you need to recover. It provides flat backup directly from 3PAR StoreServ, and with HP StoreOnce Recovery Manager Central (RMC) software, your HP 3PAR StoreServ primary storage integrates with HP StoreOnce Backup systems. The result is application-managed data protection that speeds and simplifies data protection for virtualization data on your 3PAR array—while bypassing traditional backup server-based processes.

We can help you build a comprehensive BURA strategy

American Digital, an HP Platinum partner, is well positioned to assess your current backup and recovery strategy and coach you through the best approach to ensuring your sensitive and valuable data is protected. If you’d like to learn more about how American Digital can integrate award-winning HP BURA solutions into your IT environment, give us a call.

Sources

1 Multiple Data Protection Solutions’ Does Not Have to Mean ‘Multiple Vendors’, ESG Research, July 2014

2 The Cost of Downtime, Andrew Lerner, Gartner Blog Network, July 2014

3 Research conducted by TheInfoPro, a service of 451 Research

 

The Anatomy of a Big Data Solution for Enterprise

Posted on: July 13th, 2015 by Daniella Lundsberg

The entire point of Big Data is to unlock the value that will drive better decision-making, higher operational efficiencies, customer loyalty, behavioral insight, and a host of other business outcomes that can positively impact your organization’s bottom line. Getting there requires an infrastructure that can collect, store, access, analyze and manage all the various forms of data inside your servers, or in the cloud, and allow you to convert it into actionable intelligence. And, by the way, it needs to integrate into your existing environment.

Hardware, Software, Platforms

IT infrastructure has evolved over decades from mainframes that handled yesteryear’s version of high-volume transactions, to online transactional processing (OLTP) databases –that became widely accessible in the form of CRM, ERP and e-commerce systems, to data warehouses that incorporated all of this transactional data with software for analytical insight – the rise of Business Intelligence (BI). Today, the evolution continues with HP ConvergedSystems bringing together compute, storage and networking, (including HP ConvergedSystem for Big Data optimized for SAP HANA), and HP Vertica Big Data Analytics Platform.

HP Vertica is a standards-based relational database that supports SQL, JDBC/ODBC and tightly integrates all popular BI and visualization tools. It can handle SQL and Big Data analytic workloads at 30 percent of the cost of traditional data warehouse solutions. It runs queries 50-1,000x faster, boasts petabyte-scale storage up to 30x more data per server, and offers the openness and simplicity to use any BI/ETL tools and Hadoop. Organizations can use HP Vertica to manage and analyze massive volumes of data quickly and reliably without the limits or compromises of traditional enterprise data warehouses.

Healthcare industry innovators, business collaboration platform providers, multimedia entertainment companies, and mobile game developers are among the legions of HP Vertica believers. (See for yourself.)

How About Hadoop?

The HP Vertica Analytics Platform and Hadoop are highly complementary systems for Big Data analytics. While HP Vertica is ideal for interactive, blazing-fast analytics, Hadoop is well suited for batch-oriented data processing and low-cost data storage. When used together organizations benefit from the synergies of the most powerful set of data analytics capabilities, extracting significantly higher levels of value from massive amounts of structured, unstructured, and semi-structured data.

Avoid Frankenstein’s Monster

Every organization’s technology environment and business requirements are unique, giving rise to the need for tailored solutions. Simply bolting parts onto your existing environment could cause the villagers to revolt. Before you embark on your Big Data quest, consult with a partner like American Digital to understand what embodies a successful enterprise implementation.

 

Join us in Chicago on July 23 at our Big Data Symposium. Meet tech execs from HP, SAP, Hortonworks, and Big Data guru & Fortune 50 consultant, Chris Surdak. Register here.

How Do You Know When It’s Time To Tackle Big Data?

Posted on: July 9th, 2015 by Daniella Lundsberg

Organizations ranging from healthcare, to education, to manufacturing, and Fortune 1000 companies across a wide swath of industries are candidates for Big Data implementations. Now is the time for information technology and line of business leaders to come together to understand when and how to tackle Big Data.

What exactly is Big Data?

Big Data is characterized by the four “Vs”:

Volume – the vast amount of data that is generated every second (This infographic1  illustrates where all this data comes from.)

Variety – the different forms of data, both structured–like patient health records, and unstructured–like your fitness tracker’s stats

Velocity – the speed at which data is generated and the speed at which data moves around– think skateboarding-cat viral videos

Veracity – the trustworthiness of data, especially that of unstructured data, from social media, for example

You can, and should, also add a fifth “V”:

Value – The “V” that matters most is the ability to turn all that data into business value.

How can I extract value from my Big Data?

More than ever, companies are trying to understand how Big Data can help their organizations operate more efficiently and better serve their customers. It is vitally important to determine the requirements of each line of business and develop use cases that illustrate real-world scenarios. For instance, an industry use case shows how healthcare and life sciences companies can use the HP Big Data Platform to improve patient analytics through multiple aspects of operations. The value is seen in many areas:

  • Patient outcomes can be improved by using analytics to prevent complications, increase the effectiveness of treatments, and manage predictive care.
  • Organizations can generate all the metrics they need at a moment’s notice to stay compliant with healthcare reform mandates.
  • Deep insights from real-time analyses of clinical data can help inform medical researchers.

(See use cases for Financial Services, Public Sector and other industries here.)

Where do I start?

Before you undertake a Big Data initiative, consider what kind of business value you want to derive and consult with an expert, like American Digital, who can help your organization tap into the value of your Big Data assets. We provide everything you need to profit from Big Data from assessments to strategic planning and use case development. We work with top technology partners like HP, SAP, and Hortonworks to provide custom Big Data & Analytics solutions from design to implementation and governance. As a Platinum HP partner, we are certified to support and implement Big Data solutions including HP’s Vertica, a versatile offering that allows clients access to an analytics platform that is designed to exploit a wide variety of data while enabling them to accelerate business value from simplified reporting and analysis processes.

Find out if it’s time for your organization to tackle Big Data. We’re here to help.

If you’re in Chicago on July 23, join us for our free 2015 American Digital Big Data Symposium. Tech execs from HP, SAP and Hortonworks will be in attendance. Plus, you can meet Big Data guru, Fortune 50 consultant, and rocket scientist, Chris Surdak. Register here.

1  Data Never Sleeps 2.0, DOMO

 

 

 

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