Click here to close now.



Welcome!

@BigDataExpo Authors: Liz McMillan, Pat Romanski, Elizabeth White, Scott Allen, Harry Trott

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Linux Containers, Containers Expo Blog, @BigDataExpo

@CloudExpo: Article

Take Control of Your Schemalessness with Dynamic Schemas

Addressing the inflexibility of structured data by enabling schemaless data to be dynamically and logically structured

Static data structures have been at the heart of data processing tools since the dawn of computing, but they have always limited the flexibility of the organization leveraging the data. Recently, the rise of flexible formats like JSON have led to schemaless data as an attempt to increase agility. However, schemaless data have proven difficult to work with, because of hidden rigid structure in the form of implied schemas.

EnterpriseWeb addresses the problems of both the inflexibility of structured data as well as the impracticality of schemaless data, by enabling schemaless data to be dynamically and logically structured.

From the fixed-length fields of the 1950s, to the relational structures of modern database management systems, to the semistructured data formats XML and JSON, the structure of our data has always informed code about how it should be processed. Data are defined by their relationships, and we used to hard-code those relationships into rigid structures. That approach allows only one static view, which is difficult to work with, and even more difficult to change. Nevertheless, such rigid data structures - and the models that represent them - are an integral part of enterprise information management.

Traditional relational database management systems (RDBMSs) exemplify this point with their static entity-relationship models (ERMs) and tightly interconnected data structures. XML improves this situation slightly, allowing semi-structured information, but schemas still constrain flexibility and performance. With both approaches, fixed definitions, views, and reports limit the ability for businesses to freely transform information into insight and become obstacles to systemwide change.

The Rise of Schemalessness
This challenge of inflexible data structures has given rise to schemaless data. With JSON in particular, we can create whatever data structure we like when we author data. We don't have to shoehorn data into rigid data structures, thus allowing every record to have its own structure.

But there is a problem with schemaless data. Consider this simple task: how do you create a query for all the addresses in a particular Zip Code if every record has a different name or format for Zip Code? Schemalessness, after all, isn't magic - even schemaless data require some kind of metadata so the code will know how to process such information, what software development guru Martin Fowler calls an implied schema.

Implied schemas represent the structure inherent in any data record. If each address record has its own format, then that format provides the implied schema for that record. Dealing with implied schemas thus falls to the developer, who must figure out how to code software to process these implied schemas, which are different for each and every record.

In Fowler's tutorial on schemalessness, he explains the pros and cons of implied schemas. Despite acknowledging the power of schemalessness to support more flexible and responsive user experiences, he recommends avoiding it and implied schemas for developer convenience. Good advice with respect to traditional software, but the world of data is changing. Today we live in an increasingly schemaless world, where more often than not, the structure of our data is fluid or nonexistent.

Raising the Discussion to Dynamic Schemas
Fowler makes it clear that in the past it has been impractical from the developer's perspective to work systematically with schemaless data, because implied schemas are difficult to deal with. After all, structure is itself useful, and isn't the problem per se. Rather, how to avoid the limitations of static structure without falling into the trap of unmanageable schemaless data that is the real challenge.

EnterpriseWeb's unique approach to modeling solves this critically important challenge by leveraging dynamic schemas that have flexible, metadata-driven relationships with underlying information. Using metadata this way separates concerns, letting people consider relationships from multiple perspectives, rather than from a single static point of view. In addition, it's now possible to change and extend metadata to meet diverse business needs without disruption.

Instead of settling for complex ERMs with their inflexible, tightly coupled data structures or dealing with the coding complexities of implied schemas, developers can project dynamic schemas from the metadata simply by writing different transformations. As a result, dynamic schemas are developer friendly and dynamic - a welcome change from the difficult problem of schemalessness.

Add an Agent for Performance
So far so good, but how do we build software to process all such data in a general way, freeing ourselves from custom coding for implicit schemas? The solution is an intelligent agent.

EnterpriseWeb's intelligent agent, SmartAlex™, is a distributable transaction manager that resolves dynamic schemas for each interaction. Every human or system client interaction is a request for SmartAlex to interpret dynamic schemas (as well as other models and additional metadata) and translate them to a context-specific set of resources in order to construct a custom response.

This Agent-Oriented approach maximizes performance for such dynamic computing. In the background, SmartAlex handles all run time connection and transformation details, sparing programmers from manually integrating resources for varied and unanticipated uses, greatly improving IT productivity while enabling business agility.

SmartAlex logs all system events, indexes all new and updated resources, and tags all changes in relationships for detailed and navigable audit history. This practice creates a feedback loop as SmartAlex leverages the same indexed logs to guide its execution. Data, code, and user interface components, as well as connectors for federated services, systems, databases, and devices, can be updated or replaced without breaking related apps and processes - as SmartAlex is ‘aware' of the changes. In this way EnterpriseWeb supports real time exception and change management for resilient solutions that can evolve naturally.

The EnterpriseWeb Take
Schemalessness was a reaction to the limitations of structured data. People struggled with the constraints of static structure, and figured that if they simply got rid of structure, then the problem would go away. But this move was merely a shell game, as the limitations of fixed schemas shifted to implied schemas, now without the benefits of structure to inform the code responsible for their processing.

The solution is to raise the level of abstraction, and instead of arguing over fixed vs. implied schemas, to work at the dynamic schema level. Such an approach is model-driven, allowing application designers to build models that capture their data structures, and allowing an intelligent agent to use the metadata each model represents to meet the specific needs of each interaction. The real lesson here is that the solution to resolving the challenge of schemalessness combines both dynamic schemas and the action of the agent. Stay tuned to my next newsletter for more information.

More Stories By Jason Bloomberg

Jason Bloomberg is the leading expert on architecting agility for the enterprise. As president of Intellyx, Mr. Bloomberg brings his years of thought leadership in the areas of Cloud Computing, Enterprise Architecture, and Service-Oriented Architecture to a global clientele of business executives, architects, software vendors, and Cloud service providers looking to achieve technology-enabled business agility across their organizations and for their customers. His latest book, The Agile Architecture Revolution (John Wiley & Sons, 2013), sets the stage for Mr. Bloomberg’s groundbreaking Agile Architecture vision.

Mr. Bloomberg is perhaps best known for his twelve years at ZapThink, where he created and delivered the Licensed ZapThink Architect (LZA) SOA course and associated credential, certifying over 1,700 professionals worldwide. He is one of the original Managing Partners of ZapThink LLC, the leading SOA advisory and analysis firm, which was acquired by Dovel Technologies in 2011. He now runs the successor to the LZA program, the Bloomberg Agile Architecture Course, around the world.

Mr. Bloomberg is a frequent conference speaker and prolific writer. He has published over 500 articles, spoken at over 300 conferences, Webinars, and other events, and has been quoted in the press over 1,400 times as the leading expert on agile approaches to architecture in the enterprise.

Mr. Bloomberg’s previous book, Service Orient or Be Doomed! How Service Orientation Will Change Your Business (John Wiley & Sons, 2006, coauthored with Ron Schmelzer), is recognized as the leading business book on Service Orientation. He also co-authored the books XML and Web Services Unleashed (SAMS Publishing, 2002), and Web Page Scripting Techniques (Hayden Books, 1996).

Prior to ZapThink, Mr. Bloomberg built a diverse background in eBusiness technology management and industry analysis, including serving as a senior analyst in IDC’s eBusiness Advisory group, as well as holding eBusiness management positions at USWeb/CKS (later marchFIRST) and WaveBend Solutions (now Hitachi Consulting).

@BigDataExpo Stories
IoT offers a value of almost $4 trillion to the manufacturing industry through platforms that can improve margins, optimize operations & drive high performance work teams. By using IoT technologies as a foundation, manufacturing customers are integrating worker safety with manufacturing systems, driving deep collaboration and utilizing analytics to exponentially increased per-unit margins. However, as Benoit Lheureux, the VP for Research at Gartner points out, “IoT project implementers often ...
Unless your company can spend a lot of money on new technology, re-engineering your environment and hiring a comprehensive cybersecurity team, you will most likely move to the cloud or seek external service partnerships. In his session at 18th Cloud Expo, Darren Guccione, CEO of Keeper Security, revealed what you need to know when it comes to encryption in the cloud.
"We work in the area of Big Data analytics and Big Data analytics is a very crowded space - you have Hadoop, ETL, warehousing, visualization and there's a lot of effort trying to get these tools to talk to each other," explained Mukund Deshpande, head of the Analytics practice at Accelerite, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
"SpeedyCloud's specialty lies in providing cloud services - we provide IaaS for Internet and enterprises companies," explained Hao Yu, CEO and co-founder of SpeedyCloud, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Creating replica copies to tolerate a certain number of failures is easy, but very expensive at cloud-scale. Conventional RAID has lower overhead, but it is limited in the number of failures it can tolerate. And the management is like herding cats (overseeing capacity, rebuilds, migrations, and degraded performance). Download Slide Deck: ▸ Here In his general session at 18th Cloud Expo, Scott Cleland, Senior Director of Product Marketing for the HGST Cloud Infrastructure Business Unit, discusse...
The cloud promises new levels of agility and cost-savings for Big Data, data warehousing and analytics. But it’s challenging to understand all the options – from IaaS and PaaS to newer services like HaaS (Hadoop as a Service) and BDaaS (Big Data as a Service). In her session at @BigDataExpo at @ThingsExpo, Hannah Smalltree, a director at Cazena, provided an educational overview of emerging “as-a-service” options for Big Data in the cloud. This is critical background for IT and data profession...
It's easy to assume that your app will run on a fast and reliable network. The reality for your app's users, though, is often a slow, unreliable network with spotty coverage. What happens when the network doesn't work, or when the device is in airplane mode? You get unhappy, frustrated users. An offline-first app is an app that works, without error, when there is no network connection. In his session at 18th Cloud Expo, Bradley Holt, a Developer Advocate with IBM Cloud Data Services, discussed...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to imp...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, wh...
Whether your IoT service is connecting cars, homes, appliances, wearable, cameras or other devices, one question hangs in the balance – how do you actually make money from this service? The ability to turn your IoT service into profit requires the ability to create a monetization strategy that is flexible, scalable and working for you in real-time. It must be a transparent, smoothly implemented strategy that all stakeholders – from customers to the board – will be able to understand and comprehe...
As organizations shift towards IT-as-a-service models, the need for managing and protecting data residing across physical, virtual, and now cloud environments grows with it. Commvault can ensure protection, access and E-Discovery of your data – whether in a private cloud, a Service Provider delivered public cloud, or a hybrid cloud environment – across the heterogeneous enterprise. In his general session at 18th Cloud Expo, Randy De Meno, Chief Technologist - Windows Products and Microsoft Part...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life sett...
What does it look like when you have access to cloud infrastructure and platform under the same roof? Let’s talk about the different layers of Technology as a Service: who cares, what runs where, and how does it all fit together. In his session at 18th Cloud Expo, Phil Jackson, Lead Technology Evangelist at SoftLayer, an IBM company, spoke about the picture being painted by IBM Cloud and how the tools being crafted can help fill the gaps in your IT infrastructure.
Cloud Expo, Inc. has announced today that Andi Mann returns to 'DevOps at Cloud Expo 2016' as Conference Chair The @DevOpsSummit at Cloud Expo will take place on November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. "DevOps is set to be one of the most profound disruptions to hit IT in decades," said Andi Mann. "It is a natural extension of cloud computing, and I have seen both firsthand and in independent research the fantastic results DevOps delivers. So I am excited t...
University of Colorado Athletics has selected FORTRUST, Colorado’s only Tier III Gold certified data center, as their official data center and colocation services provider, FORTRUST announced today. A nationally recognized and prominent collegiate athletics program, CU provides a high quality and comprehensive student-athlete experience. The program sponsors 17 varsity teams and in their history, the Colorado Buffaloes have collected an impressive 28 national championships. Maintaining uptime...
IoT is rapidly changing the way enterprises are using data to improve business decision-making. In order to derive business value, organizations must unlock insights from the data gathered and then act on these. In their session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, and Peter Shashkin, Head of Development Department at EastBanc Technologies, discussed how one organization leveraged IoT, cloud technology and data analysis to improve customer experiences and effi...
The idea of comparing data in motion (at the sensor level) to data at rest (in a Big Data server warehouse) with predictive analytics in the cloud is very appealing to the industrial IoT sector. The problem Big Data vendors have, however, is access to that data in motion at the sensor location. In his session at @ThingsExpo, Scott Allen, CMO of FreeWave, discussed how as IoT is increasingly adopted by industrial markets, there is going to be an increased demand for sensor data from the outermos...
The cloud market growth today is largely in public clouds. While there is a lot of spend in IT departments in virtualization, these aren’t yet translating into a true “cloud” experience within the enterprise. What is stopping the growth of the “private cloud” market? In his general session at 18th Cloud Expo, Nara Rajagopalan, CEO of Accelerite, explored the challenges in deploying, managing, and getting adoption for a private cloud within an enterprise. What are the key differences between wh...
"Avere Systems is a hybrid cloud solution provider. We have customers that want to use cloud storage and we have customers that want to take advantage of cloud compute," explained Rebecca Thompson, VP of Marketing at Avere Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Presidio has received the 2015 EMC Partner Services Quality Award from EMC Corporation for achieving outstanding service excellence and customer satisfaction as measured by the EMC Partner Services Quality (PSQ) program. Presidio was also honored as the 2015 EMC Americas Marketing Excellence Partner of the Year and 2015 Mid-Market East Partner of the Year. The EMC PSQ program is a project-specific survey program designed for partners with Service Partner designations to solicit customer feedbac...