August 31, 2018 Comments Off on Integrating RDBMS and multi-model databases Webinar
Multi-model databases offer tremendous advantages for deriving meaning from your enterprise’s complete data collection. However, to realize these benefits it’s necessary to coordinate your RDBMS with your multi-model database. This is often a time-consuming, tedious task, but there are some exciting new technologies out there that make it much easier.
- Carry out a one-time migration from a legacy RDBMS into the multi-model graph database
- Keep all of your existing systems synchronized on an ongoing basis with your multi-model database
- Conduct sophisticated analysis to extract actionable intelligence from your graph, document, and relational data
You can register here.
February 28, 2018 Comments Off on DB-Engines.com: A very helpful database technology comparison site
I’ve been working with all sorts of databases for a really long time, and I’ve never seen the industry as dynamic and diverse as it is right now. Unfortunately, if you’re evaluating databases – relational, NoSQL, or otherwise – it can be very difficult to obtain a high-level, vendor-neutral view of your options.
Lately I’ve been spending a fair amount of time on the DB-Engines website in support of some research initiatives that I’m carrying out. DB-Engines provides a wealth of really useful information, including:
- Database rankings
- A compendium of database solutions
- A glossary of key terms
- Side-by-side product comparisons
If you’re interested in learning more about which database technology is best for you and your organization, it’s definitely worth dropping by.
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.