July 31, 2017 Comments Off on On-demand graph database design and modeling training/certification now available
Until fairly recently, the impressive benefits provided by graph databases have been restricted to the most sophisticated – and deep pocketed – technology organizations such as Facebook and LinkedIn. But with the rise of flexible, powerful, and affordable offerings such as OrientDB, it’s now possible for every enterprise to realize the advantages of graph databases.
I’m happy to announce that WiseClouds is partnering with OrientDB to produce a series of training courses and companion certification exams. These classes are available in a variety of formats, including video-on-demand, multi-day live courses presented over the Web for private enterprises as well events open to the public, and onsite deliveries.
If you’re interested in learning how to take advantage of everything that a graph database has to offer, I encourage you to check out the OrientDB Multi-Model Database: Modeling, Design & Interaction class. A subscription through the end of 2017 is available for a limited time at $49, which also includes the official OrientDB certification exam. It provides 2 ½ hours of valuable content, including:
- RDBMS Challenges
- Introduction to NoSQL & Supporting Technologies
- Graph Databases Overview
- OrientDB Capabilities & Multi-Model Architecture
- Modeling a Graph Database
- Taking Advantage of Inheritance and Polymorphism
- Interacting with your Graph Database via APIs
- Writing Powerful Queries using Standard SQL
To help you get up to speed quickly, all the lessons are bolstered with easy-to-understand illustrations and multifaceted examples.
May 30, 2017 Comments Off on Speaking at Graph Day 2017 in SF
I’ve been a database technologist for more than 25 years. During that time, I’ve been fortunate to observe the rise (and longevity) of relational database platforms, along with the more recent advent of NoSQL solutions. I’m particularly excited about the potential for graph databases: I believe that they’re going to transform the way information is processed. In fact, WiseClouds will shortly be announcing a series of training courses dedicated to the highly capable OrientDB multi model database.
If you’re in the San Francisco Bay Area, and would like to learn more about what graph databases can do for you, be sure to attend Graph Day 2017. I’ll be joining many other speakers to help you explore the full range of fascinating applications built on graph databases. You can register here.
March 4, 2017 Comments Off on Helpful article on Apache Spark with use cases
I recently wrote Spark for Dummies in partnership with IBM. For those curious about this highly interesting and innovative technology – and the numerous scenarios where it can add value – there are increasing numbers of helpful online resources. A good example of what I mean is a recent article by Radek Ostrowski from Toptal. He provides a concise Spark overview, along with some sample use cases.
I’ll continue to cross reference online resources like this as I run across them. If you’d like to read more about all things Big Data, be sure to check out some of my other related postings.
February 17, 2015 Comments Off on Fast Company names Poshly one of the Top 10 Most Innovative Companies in Big Data
I blogged about Poshly some time ago. One reason that I invested in them was that they’re a great example of employing Big Data to answer real-world questions, rather than just vacuuming up a bunch of information and trying to find a use for it.
Bradley Falk, Poshly’s CTO and co-founder states:
The great thing about beauty and personal care data is discovering how unique everyone is. We can create a portrait of a user in near realtime and discover how the small details can vary so much. We can react to trends, interests and sentiment to create value for both the consumer and the industry while protecting the user’s personal information.
As I’ve watched Poshly’s meteoric growth, I’ve been interested about the approach they would follow to maintain scalability. According to Matthew Drescher, Poshly’s Head of Data Engineering:
We are aggressively utilizing high performance, distributed in-memory computing techniques to vectorize our data, perform in-place analytics, and paint a landscape of insights for our customers to enjoy.
With the quality of data Poshly gathers, it is possible to take a very geometric approach to generating insights. It’s less like scraping through a haystack in search for a diamond than it is trying to realize the maximum realistic photo resolution.
If you’re interested in all things Big Data, stay tuned for a series of blog posts I’ll be writing on critical algorithms that should be part of your toolkit.
November 13, 2014 Comments Off on Webinar on Data-driven API Testing Using Ready! API and SoapUI NG Pro
Far too many software services and APIs are placed into production without comprehensive, data-driven testing. This oversight often results in unnecessary software flaws, service outages, sluggish performance, and frustrated users.
On Monday November 24 at 10:00 PST (18:00 GMT), I’ll be presenting a Webinar along with Jim Holmes from Falafel Software. We’ll cover the following essential topics during this 45-minute event.
We’ll illustrate these concepts with practical examples using SmartBear’s Ready! API and SoapUI NG Pro technology. You can sign up here, and even if you can’t make the live event we’ll send you a recording afterwards.
November 25, 2013 Comments Off on Hadoop Buyers Guide is now available
Choosing a Hadoop platform can be confusing: there are several great alternatives on the market right now. Some of these offerings require you to handle all aspects of installation, configuration, and administration on your own, while others deliver a more comprehensive, innovative, and integrated solution yet are still faithful to Hadoop’s open source heritage.
I recently put together a concise eBook that you can use to help get a better understanding of your options. You can view the guide here.