Posted in Data Management, eDiscovery, Search, Storage, tagged Content indexing, content management, Digital Reef, eDiscovery, Indexing, keyword search, Network Storage, Search, Steve Akers on August 4, 2009|
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I suggest that if you are interested in intelligent Enterprise search that you listen to Steve Akers being interviewed by BeyeNetworks – it is a long session but well worth the time.
Steve discusses a number of things including the challenges faced by Enterprises, how Digital Reef solves these problems and some customer use cases. There were also two slides that I thought was a great overview of the Digital Reef solution:
- Automatically identify and index all unstructured data
- Provide tools to find and understand the data:
- Boolean searches (freeform, fuzzy, metadata, phrase, proximity)
- Similarity searches using example files
- Email thread reconstruction
- Exact and near duplicate identification
- Pattern expression recognition
- Organize the data using automatic classification
- Transform files into common file types
- Collect and move data
- Manage data retention policies
Designed for Scale and Security
- Grid-based, distributed architecture provides performance and resiliency
- Multi-tenant, role-based security model
- Easily deployed and maintained
- Indexes and prepares the full content and metadata of up to 10TBs of data in 24 hours with a standard configuration
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Posted in Data Management, IT Business, Network storage, Search, Search & Indexing, Storage, Uncategorized, tagged Content indexing, content management, Data discovery, Data Management, Digital Reef, Indexing, keyword search, Network Storage, Search, Tony Asaro on April 1, 2009|
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I was an industry analysts for many years. I focused heavily on storage systems and was convinced that search and storage would eventually be like peanut butter and jelly. Although we have not seen the realization of this yet – I am still convinced that it needs to and will ultimately occur. However, like all things in the data center, it just takes time.
There are practical reasons why storage and search aren’t more bounded together. For one, search solutions haven’t been scalable or intelligent enough to provide the value that IT professionals are looking for. Second, most search solutions have been associated with specific storage systems and not the entire storage complex. That is very limiting. We need Enterprise search solutions that can access all storage within an organization. The third big issue is that storage adminstrators haven’t figured out why they need it. There are some applications and use cases that are a priority – such as eDiscovery. But storage admins have not found the killer app that gives them that “aha” moment where they just need to have it and are willing to invest time and money.
What is the killer app for search and storage? I believe one killer app is using a universal search application as a tool to give Enterprise end users greater access to the company’s data. We create so much content, using any number of applications, and instead of looking for data via the various application interfaces, having a single pane of glass, to get to any and all content in the Enterprise, would provide huge increases in productivity and efficiency.
This concept should not be a leap for most people , but since no one is complaining about it or demanding it, it isn’t a priorty. However, if you think about the power of being able to easily access content – data – information – we all know that mountains can be moved when this ability is provided. This is where storage admins have to transcend their nuts-and-bolts view of the world and think about the business and how they can apply technology to elevate the companies they work for. It is “right brain” thinking (creative) versus the typical “left brain” logical and rational thinking that is typically needed in the data center. Only by combining the creative and the logical can real leaps forward be made.
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Posted in Compliance, Corporate Governance, Data Management, eDiscovery, IT Business, Network storage, Search, Search & Indexing, Storage, tagged Data Management, Digital Reef, Indexing, Network Storage, Search, Tony Asaro on January 21, 2009|
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I’m a senior consultant and founder for the INI Group and am working very closely with Digital Reef as a consultant, advisor and blogger. I’ve been in the high tech industry for over 23 years with a focus on the data management and storage arena and you can find out more about me at www.contemplatingIT.com. I believe Digital Reef has brought to the table an extremely impressive solution at a critical time when our unstructured data content is growing to massive levels.
In addition to being and advisor and consultant for Digital Reef – I’m going to be blogging for them on a regular basis discussing a wide range of topic areas from business issues, compelling technology, market dynamics and visions going forward.
Who and what is Digital Reef? They are a startup – an emerging vendor – that came to right conclusion that Enterprise search is woefully inadequate on multiple levels – the mechanics of making it work efficiently and intelligently in environments with massive amounts of content; and the ability to get relevant data to the user rapidly and without drowning them with irrelevant results.
I describe the Digital Reef solution as a data and content management platform leveraging intelligent and scalable search and indexing technologies. Digital Reef provides appliances with a grid architecture that ingests and indexes massive amounts of content spread across heterogeneous storage throughout the Enterprise creating a global federated index. Some of the biggest challenges with indexing include scalability, transparency and true global federation – and Digital Reef solves all three.
Once you have all of your unstructured data indexed – what are you going to do with it? Another big challenge with management of unstructured data is making order out of chaos. If you just use keyword searches there will be a large number of irrelevant returns that obscure what you really need.
The problem with keywords is that there is very little useful context. Digital Reef’s magic ingredient is its similarity engine – the ability to analyze content including documents, email threads and terms and return to you results based on a user defined similarity ratio. Digital Reef’s similarity engine is sophisticated technology that not only uses keywords but the associations of terms and the context in which they are used within unstructured data – providing relevant results.
Companies are frustrated because information is really three dimensional but we are using two dimensional tools to access and manage them. The first step is to implement solutions that provide us rapid access to relevant data for reactive purposes such as a discovery process, audits, research, customer support, projects, etc. However, think of the potential of really using information to also build revenue generating products and services leveraging existing intellectual property. The potential is compelling and landscape changing.
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