Tag Archive for blockchain

Technical Books I’m Reading

A Shelf of Technical Books

I try to keep current on technology. As weird as it may seem, to be an IT industry analyst, you don’t have to know much about technology. You can understand the market without knowing the technology that drives it. It’s limiting but possible.

To really understand IT customers – truly grok them – you need to live a bit in their world. It is my belief that understanding technology provides insights into the market.

More importantly, I like information technology, programming, and and all things geeky. It was my profession for many years before moving to the business side and my heart is still there. So, it is for myself as much as my clients and audience that I continue to go deep in technology.

I have also recently discovered Humble Bundle. They make collections of e-books, comics, and games available for a very low price and donate much of the proceeds to various charities. You can donate as little as US$1.00 and get four or five books. Check them out. They’re awesome.

Subsequently, I have been feasting on technical books on a variety of subjects. Besides my usual array of technology sites and news, here’s what I have been reading.

  • Head First Data Analysis, Michael Milton, O’Reilly – Semi-technical, accessible, introduction to the concepts of data science.
  • Doing Data Science, Cathy O’Neil and Rachel Schutt, O’Reilly – A more in-depth exploration of the process of data science.
  • Think Bayes, Allen B. Downey, O’Reilly – Tutorial on Bayesian statistics.
  • Think Stats, Allen B. Downey, O’Reilly – Tutorial on classical statistics.
  • Mastering Docker 2nd edition, Russ McKendrick and Scott Gallagher, Packt – Both introductory and advanced Docker concepts. Good starter for the budding container enthusiast.
  • Getting Started with Kubernetes, Jonathan Baier, Packt – Introduction and tutorial for Kubernetes.
  • Blockchain Basics: A Non-Technical Introduction in 25 Steps, Daniel Drescher, Packt – ntroduction to Blockchain. The non-traditional style was hard for me to get used to.
  • Mastering Blockchain, Imran Bashir, Packt – More traditional and in-depth introduction to Blockchain and major implementations of it such as Bitcoin and Ethereum. I’m reading this now.

I’ve got a lot of books coming up – I bought 41 of them for something like US$35 – including a set of Java books, and more on Cloud, Data Science, and Blockchain/Bitcoin. There’s a book on OpenStack that looks interesting. R in a Nutshell, Thoughtful Machine Learning with Python, and Java 8 Lambdas are all possibilities too. That assumes that Humble Bundle doesn’t wave something interesting in my face. I almost bought the last Python bundle but resisted. Oh, and I have a ton of Linux books waiting in the wings too.

Of course, the group above tracks my current interests. I’ve been writing code in Java since the 1990s when Java v1.0 was mostly a associated with adding applets to websites. Cloud, Containers, DevOps, Blockchain, and Data Science are top of mind for me professionally and the IT community as a whole. These books talk to the everyday work of developers which is what interests me the most.

So, I’m more than happy to settle in with a good book so long as it’s techy.

Oracle: All the New Stuff Inside Everything

Oracle Open World 2017

As expected, Oracle OpenWorld 2017 (Oct. 1 – 4 2017) featured a large number of announcements. The debut of Oracle 18c, the latest version of Oracle’s eponymous database, grabbed the most attention. Given it’s billing as an autonomous database and Oracle’s flagship product, this is not suprising.. While the idea of a database infused with machine learning that automates all types of database management functions is intriguing, it overshadowed the real impact of Oracle releases. Oracle 18c was only one of several AI-infused “autonomous” products. Instead, the sum of Oracle’s presentations amounted to adding machine learning into all levels in the Big Red Cloud Stack. AI is now integrated into Oracle’s SaaS, PaaS, IaaS cloud products. Oracle didn’t stop with machine learning either. They have imbued their applications with analytics and blockchain technology too. Oracle have made this technology available from within Oracle Cloud Applications and Oracle+NetSuite, providing advanced technology to mid-market organizations through large enterprises.

In essence, Oracle has made sure that all the new technology that everyone has been hearing about for so long is everywhere in the Oracle ecosystem. That’s very exciting. Previously esoteric technology is now available to the corporate masses in a more cost-effective manner. This strategy mirrors Microsoft’s but with greater depth in large enterprise applications. Until recently, organizations that saw value in these new software technologies would have had to hire experts and maintain expensive systems themselves. By integrating them into enterprise applications in domain specific ways, organizations can reap the benefits of advanced software without the cost of building and maintaining it. This approach makes sense; Technology such as machine learning, analytics, or blockchain doesn’t need to be custom built for most organizations. Managing a supply chain using blockchain, for example, will be similar across organizations. The same is true for sales analytics and machine learning for recruiting.

If an enterprise does need to create specialized uses of these technologies, Oracle makes that easier by providing them as cloud infrastructure services. While data scientists and developers trained in blockchain are still needed, the cost and complexity of building, managing, and maintaining the infrastructure is borne by Oracle. Having these advanced technology stacks prepacked as cloud services also means a faster start. Developers can begin writing code immediately instead of having to waste time spinning up the infrastructure. Google, Microsoft, Amazon, and IBM all offer all or some of this technology via the cloud as well. For Oracle loyalists though, the decision to implement just became easier since they no longer have to introduce a new vendor to deploy these types of systems. The tie-in to enterprise cloud applications also simplifies adding customer capabilities to common enterprise applications.

By integrating these three new technologies into everyday enterprise and mid-market applications and providing them as a service, Oracle is making them more accessible to a greater number of organizations. Oracle customers can now gain the benefits of new technology with less of the work or distraction of building it all themselves.