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Tony Pearson is a Master Inventor, Senior IT Architect and Event Content Manager for [IBM Systems for IBM Systems Technical University] events. With over 30 years with IBM Systems, Tony is frequent traveler, speaking to clients at events throughout the world.
Lloyd Dean is an IBM Senior Certified Executive IT Architect in Infrastructure Architecture. Lloyd has held numerous senior technical roles at IBM during his 19 plus years at IBM. Lloyd most recently has been leading efforts across the Communication/CSI Market as a senior Storage Solution Architect/CTS covering the Kansas City territory. In prior years Lloyd supported the industry accounts as a Storage Solution architect and prior to that as a Storage Software Solutions specialist during his time in the ATS organization.
Lloyd currently supports North America storage sales teams in his Storage Software Solution Architecture SME role in the Washington Systems Center team. His current focus is with IBM Cloud Private and he will be delivering and supporting sessions at Think2019, and Storage Technical University on the Value of IBM storage in this high value IBM solution a part of the IBM Cloud strategy. Lloyd maintains a Subject Matter Expert status across the IBM Spectrum Storage Software solutions. You can follow Lloyd on Twitter @ldean0558 and LinkedIn Lloyd Dean.
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During the break, I talked with some of the other bloggers at this event. From left to right: Stephen Foskett [Pack Rat] blog, Devang Panchigar [StorageNerve], and yours truly, Tony Pearson. (Picture courtesy of Stephen Foskett)
Meet the Experts
This next segment was a Q&A panel, with a moderator posing questions to four experts. Originally, I was scheduled to be the moderator, but this was changed to Doug Balog. The experts on the panel were:
Rich Castagna, Editorial Director for Storage Media, TechTarget. TechTarget is the group that runs the [SearchStorage] website.
Stan Zaffos, Gartner VP of Research, who spoke earlier today. I have worked with Stan for years as well, and have attended the last four Gartner Data Center Conferences held every December in Las Vegas.
Steve Duplessie, Founder and Senior Analyst, Enterprise Strategy Group (ESG). Steve's blog is titled [The Bigger Truth].
Jon clarified a statement Doug Balog said earlier in the day attributed to his study. Doug had said that 40 percent of all data should be archived. The study that Jon Toigo had done found that, on average, for the data on disk systems, about 30 percent is useful data, 40 percent is not active and could be eligible for archive, and the remaining 30 percent was crap.
The other experts introduced themselves. Rich felt that "Cloud" was still the biggest buzzword in the IT industry. Stan felt that CIOs should ask their storage administrators "What are you doing to improve my agility and efficiency". Steve felt that it was better to focus on improving process and procedures, rather than trying to deploy the best technology.
How can you best reduce backup costs per TB?
Jon- use tape.
Rich- Clean up your environment.
Stan- Don't rehydrate your deduplicated data, adopt archive approach, and revisit your backup schedules.
Steve- Deduplication covers up stupidity. No band-aids! Companies need to address the cause.
Does Backup as a Public Service for large enterprises makes sense?
Rich- Yes, especially for those with Remote Office/Branch Office (ROBO).
Stan- It depends. You should implement client-side dedupe. Get the Cloud Provider to waive telecom bandwidth charges.
Steve- Consider recovery scenarios, and try to maintain control.
Jon- "Clouds" are bulls@#$ marketing. WAN latency will pile up.
What are the top issues IT leaders should be discussing with the Storage Managers?
Stan- To ensure SLAs meet but not exceed design, to automate, and to evaluate SAN/NAS ratios.
Steve- Server virtualization is putting the spotlight on storage. Failure to implement storage virtualization is becoming the gate that slows down sever virtualization adoption.
Jon- Insist on management features from all storage vendors, try to separate feature/function from the underlying hardware layer. See IBM's [Project Zero].
Rich- Efficiency, Archiving, Thin Provisioning, Compression, Data Protection & Retention, Backup Redesign to protect endpoints like laptops and cell phones.
When does Archive eliminate Backup?
The need for protection never goes away. There are two kinds of data: "originals" and "derivatives", and two kinds of disk: "failed" and "not yet failed".
Given SATA and SAS drives, what is the future of 10K/15K RPM drives?
There is no future for these faster drives, they are going away.
What is the biggest challenge for adopting archive?
It is easy to move data out of production systems, but difficult to make these archives accessible for eDiscovery and Search. There is also concern about changing data formats. Adobe has changed the format of PDF a whopping 33 times.
This was by far the most entertaining section of the day! Hand-held devices allowed the audience to vote which answers they liked best.
Doug Balog, IBM VP and Business Level Executive for Storage, presented Smart Archiving. Citing research by Jon Toigo, Doug indicated that 40 percent of data on disk should be archived. Sadly, a vast majority of companies continue to use their backups as archives. There is a better way to do archives, to address the needs of four use cases:
The IBM Information Archive for email, files and eDiscovery offers full text indexing. A well-deployed archive strategy can save up to 60 percent in backup costs, and reduce backup times by 80 percent. IBM offers advanced analytics and visualization for archive data.
An analysis of a global insurance company found that they kept, on average, 120 copies of every email sent. This was the combination of an average of 12 copies of the email, multipled by 10 backups of the email repository.
Banjercito, a bank in Mexico, has a 10-year retention requirement from government regulations.
The new LTFS Library Edition allows Library-based access to files stored on tape cartridges. The new TS3500 Library Connector means that a single system of connected tape libraries can hold up to 2.7 Exabytes (EB) of data.
Archive Industry Perspectives
Steve Duplessie from Enterprise Strategy Group [ESG] gave his views on the challenges of volume, access and cost. His definition for archive: the long term retention of information on a separate environment for compliance, eDiscovery and business reference purposes. Steve advocates a purpose-built solutiion for archive. There are three major challenges for implementing an archive solution:
Getting Participation -- Steve feels that key stakeholders have inappropriate expectations of what archive is, or can be.
Define Tasks -- Steve argues that archive is very much a process-oriented approach, and tasks must fit business process and procedures
Prepare for Future Content Types -- the frequent change of standard and proprietary data types poses a real challenge for long term retention of data
For example, the Financial Industry Regulatory Authority [FINRA] oversee 4,000 brokerage firms, and 600,000 broker/dealers. They have mandated the storing of digital data related to stock trades, and this can include text messages, voice messages, and emails. They continue to expand this definition, so soon this could include tweets on Twitter, for example.
Steve feels there are four key requirements for archive:
Support for email, such as an email application plug-in
Off-line access to archived data
Support for mobile devices, such as smartphones
Basic search capabilities
Companies are starting to take archive seriously. About 35 percent of firms surveyed have adopted archive, and another 36 percent plan to in the next 12-24 months. Enterprise archive has grown over 200 percent from 2007 to 2009. Steve agrees that not everything needs to be stored on disk. Retention periods greater than six years dictates the need for tape.
Current systems may not meet today's requirements. Data loss and downtime costs have skyrocketed. Data Protection and Retention projects can represent a gold mine of savings, new capabilities can greatly lower costs, allowing companies to shift resources over to revenue generation.
Big Data, New Physics and Geospatial Super-Food
I would vote this the best session of the day! For all those confused on what the heck "Big Data" means, Jeff has the best explanation. Jeff Jonas is an IBM Distinguished Engineer and the Chief Scientist of Entity Analytics. He had just finished his 17th marathon on Saturday, and his fingers were bandaged.
Jeff had founded the Systems Research and Design (SR&D) company, known for creating NORA (non-obvious relationship awareness) used by Las Vegas casinos to identify fraud. SR&D was acquired by IBM back in 2005. Jeff is focused on sensemaking of streams. He feels many companies are suffering from "Enterprise Amnesia".
"The data must find the data .. and the relevance must find the user."
-- Jeff Jonas
Jeff's metaphor to Big Data is a jigsaw puzzle without the picture on the outside of the box. To demonstrate his point, he presented a pile of jigsaw puzzle pieces and asked four teenagers to put the puzzle together without the advantage of the picture on the box. What he had not told them was that he mixed four different puzzles together, removing out 10 to 20 percent of the pieces from each puzzle. He also added some duplicate pieces from a second identical puzzle, and just to make things fun, included a dozen pieces from a sixth puzzle just to mess with their heads. Within a few hours, the kids had managed to figure out that there were four puzzles, that there were duplicate pieces, and that there were some pieces that did not fit any of the four puzzles.
"You can't squeeze knowledge from a pixel."
-- Jeff Jonas
This approach favors false negatives. New observations reverse out old conceptions. As the picture emerges, this provides added focus on new information. More data can provide better predictions. "Bad" data, including misspelled words and mis-coded categories, was often discarded or corrected on the basis of "Garbage-In, Garbage Out", but can now be useful in a Big Data perspective.
Take for example the 600 billion recordings of the "location data" captured on cell phones every day. With regular triangulation of cell phone towers, the information can pinpoint you within 60 meters, add GPS and this improved to within 20 meters, and add Wi-Fi is further improved to 10 meters. While this data is "de-identified" so as not to identify individual users, the process of re-identification is relatively trivial. Jeff's system is able to predict a person will be next Thursday at 5:35pm with 87 percent accuracy.
Thus, Big Data represents an asset, accumulation of context. Real-time analytics can be a competitive advantage. These streams of data will need persistent storage and massive I/O capabilities. In one example, Jeff processed 4,200 separate sources of information and was able to identify "dead votes". These are votes cast by people that died in years prior, indicating voter fraud.
Jeff's latest project, codenamed G2, will tackle not just people, but everything from proteins to asteroids.
Normally, the worst time slot is the hour after lunch, but these presentations kept people's attention.