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  DevOps: Disruptive but Essential in a Cloud Computing Universe
  Join us in New York City, Novemeber 11 - 13



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 There is no time to wait for long development cycles that produce software that is obsolete at launch.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.

DevOps at Cloud Expo - to be held June 5-7, 2018, at the Javits Center in New York City, NY - will expand the DevOps community, enable a wide sharing of knowledge, and educate delegates and technology providers alike. Recent research has shown that DevOps dramatically reduces development time, the amount of enterprise IT professionals put out fires, and support time generally. Time spent on infrastructure development is significantly increased, and DevOps practitioners report more software releases and higher quality.

Join us at DevOps at Cloud Expo June 5-7 for three days of intense DevOps discussion and focus.

We'll see you in New York!




DevOps Summit Power Panel | DevOps Five Years Later: What Does the Future Hold?
After more than five years of DevOps, definitions are evolving, boundaries are expanding, 'unicorns' are no longer rare, enterprises are on board, and pundits are moving on. Can we now look at an evolution of DevOps? Should we? Is the foundation of DevOps 'done', or is there still too much left to do? What is mature, and what is still missing? What does the next 5 years of DevOps look like?


The Top Keynotes, the Best Sessions, a Rock Star Faculty, and the Most Qualified Delegates on ANY DevOps Event!


DevOps is a software development method that stresses communication, collaboration and integration between software developers and information technology (IT) professionals. At DevOps Summit the breakout sessions will engage not just existing DevOps pros, but also managers and executives like CIOs and CISOs, Dev and Ops managers, business leaders and architects.
 
DevOps Summit is a premier conference that connects a wide range of stakeholders to provide a valuable and educational experience for all.




Opening Keynote at 17th Cloud Expo | Jason Bloomberg, President of Intellyx
In today's enterprise, digital transformation represents organizational change even more so than technology change, as customer preferences and behavior drive end-to-end transformation across lines of business as well as IT. To capitalize on the ubiquitous disruption driving this transformation, companies must be able to innovate at an increasingly rapid pace.

Benefits of Attending the THREE-Day Technical Program
  LEARN exactly why DevOps is relevant today from an economic, business and technology standpoint.
  HEAR first-hand from industry experts how development and operations teams work seamlessly together to make it easy to develop and upgrade applications.
  SEE how to improve IT service delivery agility.
  DISCOVER what the core purpose and principles of DevOps are.
  FIND OUT how the core values of collaboration, integration, and communication will allow large enterprises to benefit from this new approach on a broad, enterprise scale.
  MASTER how to improve collaboration between operations and development teams.
  LEARN what works, what doesn't, and what's next.
@DevOpsSummit at New York City's Javits Center


Data Unification at Scale | @CloudExpo #BigData #DataLake #AI #Analytics
This term Data Unification is new in the Big Data lexicon, pushed by varieties of companies

This term Data Unification is new in the Big Data lexicon, pushed by varieties of companies such as Talend, 1010Data, and TamR. Data unification deals with the domain known as ETL (Extraction, Transformation, Loading), initiated during the 1990s when Data Warehousing was gaining relevance. ETL refers to the process of extracting data from inside or outside sources (multiple applications typically developed and supported by different vendors or hosted on separate hardware), transform it to fit operational needs (based on business rules), and load it into end target databases, more specifically, an operational data store, data mart, or a data warehouse. These are read-only databases for analytics. Initially the analytics was mostly retroactive (e.g. how many shoppers between age 25-35 bought this item between May and July?). This was like driving a car looking at the rear-view mirror. Then forward-looking analysis (called data mining) started to appear. Now business also demands "predictive analytics" and "streaming analytics".

During my IBM and Oracle days, the ETL in the first phase was left for outside companies to address. This was unglamorous work and key vendors were not that interested to solve this. This gave rise to many new players such as Informatica, Datastage, Talend and it became quite a thriving business. We also see many open-source ETL companies.

The ETL methodology consisted of: constructing a global schema in advance, for each local data source write a program to understand the source and map to the global schema, then write a script to transform, clean (homonym and synonym issues) and dedup (get rid of duplicates) it. Programs were set up to build the ETL pipeline. This process has matured over 20 years and is used today for data unification problems. The term MDM (Master Data Management) points to a master representation of all enterprise objects, to which everybody agrees to confirm.

In the world of Big Data, this approach is very inadequate. Why?

  • Data unification at scale is a very big deal. The schema-first approach works fine with retail data (sales transactions, not many data sources,..), but gets extremely hard with sources that can be hundreds or even thousands. This gets worse when you want to unify public data from the web with enterprise data.
  • Human labor to map each source to a master schema gets to be costly and excessive. Here machine learning is required and domain experts should be asked to augment where needed.
  • Real-time data unification of streaming data and analysis can not be handled by these solutions.

Another solution called "data lake" where you store disparate data in their native format, seems to address the "ingest" problem only. It tries to change the order of ETL to ELT (first load then transform). However it does not address the scale issues. The new world needs bottoms-up data unification (schema-last) in real-time or near real-time.

The typical data unification cycle can go like this - start with a few sources, try enriching the data with say X, see if it works, if you fail then loop back and try again. Use enrichment to improve and do everything automatically using machine learning and statistics. But iterate furiously. Ask for help when needed from domain experts. Otherwise the current approach of ETL or ELT can get very expensive.

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About Jnan Dash
Jnan Dash is Senior Advisor at EZShield Inc., Advisor at ScaleDB and Board Member at Compassites Software Solutions. He has lived in Silicon Valley since 1979. Formerly he was the Chief Strategy Officer (Consulting) at Curl Inc., before which he spent ten years at Oracle Corporation and was the Group Vice President, Systems Architecture and Technology till 2002. He was responsible for setting Oracle's core database and application server product directions and interacted with customers worldwide in translating future needs to product plans. Before that he spent 16 years at IBM. He blogs at http://jnandash.ulitzer.com.

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Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
@Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Flexential


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DevOpsSUMMIT Blogs
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CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure.
The now mainstream platform changes stemming from the first Internet boom brought many changes but didn’t really change the basic relationship between servers and the applications running on them. In fact, that was sort of the point. In his session at 18th Cloud Expo, Gordon Haff, senior cloud strategy marketing and evangelism manager at Red Hat, will discuss how today’s workloads require a new model and a new platform for development and execution. The platform must handle a wide range of recent developments, including containers and Docker, distributed resource management, and DevOps tool ...
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