Click here to close now.

Welcome!

Microservices Expo Blog Authors: Lori MacVittie, Liz McMillan, Hovhannes Avoyan, David Sprott, AppDynamics Blog

Related Topics: Microservices Expo Blog, Containers Expo Blog

Microservices Expo Blog: Article

Zettabytes of Data and Beyond

Is data discovery the answer to the data complexity problem?

Data Data Everywhere!
According to IDC's June 2011 report Extracting Value from Chaos, the amount of information currently stored is 1.8 zettabytes (1.8 trillion gigabytes).  It has grown by a factor of nine in the past five years.

How can anyone deal with the complexity associated with these volumes?

For IT teams who need to understand this data as a first step before they can figure out how to use it to create high-impact business applications, this complexity is overwhelming.

As a result, the business waits, opportunities are missed, and IT is once again the blame.

Too Complex to Model
Today's application development approaches are based on methods that were appropriate for earlier times when less data complexity was the norm.

Take data modeling for example. Data modeling is the critical step where someone manually models a logical view of the data that an application requires.  While lots of books have been written about the pros and cons of various modeling techniques, all assume the same prerequisite.  That is the person doing the modeling understands the source data and data relationships.

That's great if you stay in a single domain or subject area, such as SAP or finance. But what happens when the application you are building needs data from SAP, Oracle, salesforce.com, and two different data marts?

  • Does anyone in IT understand all data models, metadata, syntax, semantics and more across these sources?
  • Let alone understand how these might relate with one and other?
  • Or if they even do relate at all?

This challenge is far bigger than the need to understand five letter German acronyms in SAP R3 or flexfields in Oracle E-Business.   In this example, each of these sources might have hundreds of table and column names that include some variation of the word "customer."  Understanding these will take a lot of time.  And the odds are several iterations before any models derived from these sources are correct.

What If?
What if we could somehow help data modelers better understand their data?

  • Would they build their data models faster?
  • Would their models be more accurate?
  • Would the developers who used these models to integrate data using tools such as data virtualization, be able to build their virtualized views and data services faster?
  • Would the applications that use these views and services be delivered to the business faster?
  • And would the business be better off if the benefits of these new applications could be achieved sooner?

Yes. Yes. Yes. Yes. And Yes!

Discovery Tools Turn "What If" into Reality
There is a new class of data discovery products that can turn this what if's into reality. Some are standalone tools derived from data profiling offerings originally developed for use in data quality initiatives.  Others are integrated with downstream tools in integrated suites. An example is Composite Discovery which is fully integrated with the Composite Data Virtualization Platform.

These discovery products use advanced mathematical algorithms and heuristics to reveal data patterns that are difficult for even the most experienced data modelers to uncover.  Automatically crawling the source data and applying these methods, discovery tools reveal data and relationships across multiple source systems scattered throughout an organization.  These products then present the data to the modelers using visualization studios that make it easy for the modelers to examine data, locate key entities and comprehend seemingly hidden connections.

Modelers can use that knowledge to quickly build the data models or schemas required.  And then they can turn these over to data integration teams who can bind these models to the sources using views or data services. These rapidly built views are easy to validate and test with business users.  If iteration is required, it can be done quickly.  And once the views and data services are firmed, building out the application's user interface layer is a snap.

Data Discovery Delivers Faster Time to Solution
By accelerating the data relationship finding and modeling process, data modelers can use discovery tools to eliminate much of the time and effort typically employed in uncovering the entities and relationships necessary to build data models. Accelerating these initial critical development lifecycle steps reduces overall time to solution for new applications.   IT looks better.  And the business gains the application benefits sooner.

Data Discovery Delivers Better Quality Applications
Discovery tools help align data's business and technical contexts, facilitating greater collaboration between business and IT professionals.  Discovery tools such as Composite Discovery display meta-data in an easy-to-read format that allows modelers and end users to easily validate requirements with greater confidence.  More accurate validation at the front-end of the project reduces corrective actions in downstream steps.  This reduces frustration and ensures a higher quality application.

Data Discovery Frees Top Talent
Discovery tools provide ease-of-use and automation that reduces the need for data modeling expertise. Top data modelers can now redirect these efforts towards other data governance activities.

Go for it!
In the time it took to read this article, your organization likely added a gigabyte of new data.  Old methods and manual techniques cannot keep pace.  Try data discovery.  You'll be glad you did.

More Stories By Robert Eve

Robert Eve is the EVP of Marketing at Composite Software, the data virtualization gold standard and co-author of Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility. Bob's experience includes executive level roles at leading enterprise software companies such as Mercury Interactive, PeopleSoft, and Oracle. Bob holds a Masters of Science from the Massachusetts Institute of Technology and a Bachelor of Science from the University of California at Berkeley.

@MicroservicesExpo Stories

Let's just nip the conflation of these terms in the bud, shall we?

"MIcro" is big these days. Both microservices and microsegmentation are having and will continue to have an impact on data center architecture, but not necessarily for the same reasons. There's a growing trend in which folks - particularly those with a network background - conflate the two and use them to mean the same thing.

They are not.

One is about the application. The other, the network. T...

Containers Expo Blog covers the world of containers, as this lightweight alternative to virtual machines enables developers to work with identical dev environments and stacks. Containers Expo Blog offers top articles, news stories, and blog posts from the world's well-known experts and guarantees better exposure for its authors than any other publication. Bookmark Containers Expo Blog ▸ Here Follow new article posts on Twitter at @ContainersExpo
Python is really a language which has swept the scene in recent years in terms of popularity, elegance, and functionality. Research shows that 8 out 10 computer science departments in the U.S. now teach their introductory courses with Python, surpassing Java. Top-ranked CS departments at MIT and UC Berkeley have switched their introductory courses to Python. And the top three MOOC providers (edX, Coursera, and Udacity) all offer introductory programming courses in Python. Not to mention, Python ...
Right off the bat, Newman advises that we should "think of microservices as a specific approach for SOA in the same way that XP or Scrum are specific approaches for Agile Software development". These analogies are very interesting because my expectation was that microservices is a pattern. So I might infer that microservices is a set of process techniques as opposed to an architectural approach. Yet in the book, Newman clearly includes some elements of concept model and architecture as well as p...
Docker is an open platform for developers and sysadmins of distributed applications that enables them to build, ship, and run any app anywhere. Docker allows applications to run on any platform irrespective of what tools were used to build it making it easy to distribute, test, and run software. I found this 5 Minute Docker video, which is very helpful when you want to get a quick and digestible overview. If you want to learn more, you can go to Docker’s web page and start with this Docker intro...
The 5th International DevOps Summit, co-located with 17th International Cloud Expo – being held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA – announces that its Call for Papers is open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the...
There’s a lot of discussion around managing outages in production via the likes of DevOps principles and the corresponding software development lifecycles that does enable higher quality output from development, however, one cannot lay all blame for “bugs” and failures at the feet of those responsible for coding and development. As developers incorporate features and benefits of these paradigm shift, there is a learning curve and a point of not-knowing-what-is-not-known. Sometimes, the only way ...
You use an agile process; your goal is to make your organization more agile. But what about your data infrastructure? The truth is, today's databases are anything but agile - they are effectively static repositories that are cumbersome to work with, difficult to change, and cannot keep pace with application demands. Performance suffers as a result, and it takes far longer than it should to deliver new features and capabilities needed to make your organization competitive. As your application an...
Over the years, a variety of methodologies have emerged in order to overcome the challenges related to project constraints. The successful use of each methodology seems highly context-dependent. However, communication seems to be the common denominator of the many challenges that project management methodologies intend to resolve. In this respect, Information and Communication Technologies (ICTs) can be viewed as powerful tools for managing projects. Few research papers have focused on the way...
As the world moves from DevOps to NoOps, application deployment to the cloud ought to become a lot simpler. However, applications have been architected with a much tighter coupling than it needs to be which makes deployment in different environments and migration between them harder. The microservices architecture, which is the basis of many new age distributed systems such as OpenStack, Netflix and so on is at the heart of CloudFoundry – a complete developer-oriented Platform as a Service (PaaS...
How can you compare one technology or tool to its competitors? Usually, there is no objective comparison available. So how do you know which is better? Eclipse or IntelliJ IDEA? Java EE or Spring? C# or Java? All you can usually find is a holy war and biased comparisons on vendor sites. But luckily, sometimes, you can find a fair comparison. How does this come to be? By having it co-authored by the stakeholders. The binary repository comparison matrix is one of those rare resources. It is edite...
The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential. The DevOps Summit at Cloud Expo – to be held June 3-5, 2015, at the Javits Center in New York City – will expand the DevOps community, enable a wide...
Cloud Expo, Inc. has announced today that Andi Mann returns to DevOps Summit 2015 as Conference Chair. The 4th International DevOps Summit will take place on June 9-11, 2015, at the Javits Center in New York City. "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 to help the great team at ...
Enterprises are fast realizing the importance of integrating SaaS/Cloud applications, API and on-premises data and processes, to unleash hidden value. This webinar explores how managers can use a Microservice-centric approach to aggressively tackle the unexpected new integration challenges posed by proliferation of cloud, mobile, social and big data projects. Industry analyst and SOA expert Jason Bloomberg will strip away the hype from microservices, and clearly identify their advantages and d...
Amazon, Google and Facebook are household names in part because of their mastery of Big Data. But what about organizations without billions of dollars to spend on Big Data tools - how can they extract value from their data? In his session at 6th Big Data Expo®, Ali Ghodsi, Co-Founder and Head of Engineering at Databricks, discussed how the zero management cost and scalability of the cloud is addressing the challenges and pain points that data engineers face when working with Big Data. He also s...
Container frameworks, such as Docker, provide a variety of benefits, including density of deployment across infrastructure, convenience for application developers to push updates with low operational hand-holding, and a fairly well-defined deployment workflow that can be orchestrated. Container frameworks also enable a DevOps approach to application development by cleanly separating concerns between operations and development teams. But running multi-container, multi-server apps with containers ...
Software development, like manufacturing, is a craft that requires the application of creative approaches to solve problems given a wide range of constraints. However, while engineering design may be craftwork, the production of most designed objects relies on a standardized and automated manufacturing process. By contrast, much of moving an application from prototype to production and, indeed, maintaining the application through its lifecycle has often remained craftwork. In his session at Dev...
The stack is the hack, Jack. That's my takeaway from several events I attended over the past few weeks in Silicon Valley and Southeast Asia. I listened to and participated in discussions about everything from large datacenter management (think Facebook Open Compute) to enterprise-level cyberfraud (at a seminar in Manila attended by the US State Dept. and Philippine National Police) to the world of entrepreneurial startups, app deployment, and mobility (in a series of meetups and talks in bot...
The Internet of Things is a misnomer. That implies that everything is on the Internet, and that simply should not be - especially for things that are blurring the line between medical devices that stimulate like a pacemaker and quantified self-sensors like a pedometer or pulse tracker. The mesh of things that we manage must be segmented into zones of trust for sensing data, transmitting data, receiving command and control administrative changes, and peer-to-peer mesh messaging. In his session a...
SYS-CON Events announced today that EnterpriseDB (EDB), the leading worldwide provider of enterprise-class Postgres products and database compatibility solutions, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. EDB is the largest provider of Postgres software and services that provides enterprise-class performance and scalability and the open source freedom to divert budget from more costly traditiona...