Today, humans have to interpret large sets of different data to make a decision. Using gut feeling is nothing but gambling. Therefore, big data analytics is getting more and more important every year to make better decisions. However, just doing big data analytics is not enough. In many use cases, systematic and monitored human interactions are as important to get best outcomes.
NoSQL Matters Conference 2014
NoSQL Matters is a great conference about different NoSQL topics. A lot of great NoSQL products and use cases are presented. In November 2014, I had a talk about “Real World Use Cases and Success Stories for In-Memory Data Grids” in Barcelona, Spain. I discussed several different use cases, which our TIBCO customers implemented using our In-Memory Data Grid “TIBCO ActiveSpaces“. I will present the same content at data2day, a German conference in Karlsruhe about big data topics.
In October 2014, I had a talk at Jazoon in Zurich, Switzerland: “A New Front for SOA: Open API and API Management as Game Changer”
Business Perspective – Open API and API Management
Open API represent the leading edge of a new business model, providing innovative ways for companies to expand brand value and routes to market, and create new value chains for intellectual property. In the past, SOA strategies mostly targeted internal users. Open APIs target mostly external partners.
“Hadoop and Data Warehouse (DWH) – Friends, Enemies or Profiteers? What about Real Time?” – Slides (including TIBCO Examples) from JAX 2014 OnlinePosted in Analytics, Big Data, Business Intelligence, Cloud, ESB, Hadoop on May 13th, 2014 by Kai Wähner
Slides from my talk “Hadoop and Data Warehouse (DWH) – Friends, Enemies or Profiteers? What about Real Time?” at JAX 2014 (Twitter #jaxcon) in Mainz are online. JAX is a great conference with interesting topics and many good speakers!
Content (Data Warehouse, Business Intelligence, Hadoop, Stream Processing)
Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data. New business models based on predictive analytics, such as recommendation systems or fraud detection, are relevant more than ever before. Apache Hadoop seems to become the de facto standard for implementing big data solutions. For that reason, solutions from many different vendors emerged on top of Hadoop.
Integration of Amazon Redshift Cloud Data Warehouse (AWS SaaS DWH) with Talend Data Integration (DI) / Big Data (BD) / Enterprise Service Bus (ESB)Posted in Cloud, EAI, ESB on June 26th, 2013 by Kai Wähner
In this blog post, I will show you how to „ETL“ all kinds of data to Amazon’s cloud data warehouse Redshift wit Talend’s big data components. Let’s begin with a short introduction to Amazon Redshift (copied from website):
„Amazon Redshift is [part of Amazon Web Services (AWS) and] a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. With a few clicks in the AWS Management Console, customers can launch a Redshift cluster, starting with a few hundred gigabytes and scaling to a petabyte or more, for under $1,000 per terabyte per year.
Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.“
Disclaimer: I work for an “open source company”. The following is my personal opinion!
Great Article: “What is the TCO difference between WebSphere and JBoss?”
I have spotted a really great article about comparing prices of open source and proprietary products: “What is the TCO difference between WebSphere and JBoss?“. The interesting aspect is, that this article is written by an IBM-biased company (Prolifics). Usually, only open source vendors write such comparisons. I really like this article, seriously! It is good to see comparisons not only by open source vendors, but also by vendors such as IBM (in this case, Prolifics cannot be considered unbiased, it is an IBM consulting company – but that is fine). I just want to give my two cents to this article in the following…
My Talks at JavaOne 2012: “Lessons learned from JVM Languages (Java vs Groovy vs Scala vs Clojure vs JRuby vs Jython vs Kotlin)” and “Cloud Integration with Apache Camel”Posted in Cloud, EAI, ESB, IT Conferences, Java / JEE on October 3rd, 2012 by Kai Wähner
These days, I am at JavaOne 2012 in San Francisco. That’s the largest and most important Java conference worldwide. In this blog post, I wanna share the slides of my two talks…
Lessons learned: Use of Modern JVM Languages besides Java
I explain my lessones learned while using other programming languages on the Java Platform besides Java, e.g. Groovy, Scala, Clojure, JRuby, Jypthon, Erjang, and others.
Systems Integration in the Cloud Era – API vs. Integration Framework vs. Enterprise Service Bus (ESB)Posted in Cloud, EAI, ESB, IT Conferences, SOA on September 24th, 2012 by admin
Today, I was at the SOA CLOUD Service Technology Symposium 2012 in London (http://www.servicetechsymposium.com). Believing the organisors, it is „the World’s Largest Conference Dedicated to SOA, Cloud Computing & Service Technology“.
I was at this conference for the second time. Two year ago, the conference took place in Berlin. Unfortunately, the venue was awful this time. It was uncomfortable, no seats / tables available, and the rooms for the sessions were tough to find. Nevertheless, it was an awesome international conference with plenty of good content regarding SOA and Cloud Computing.
Book Review “Cloud Computing Architected – Solution Design Handbook” by John Rhoton and Risto HaukiojaPosted in Cloud on October 15th, 2011 by admin
“Cloud Computing Architected – Solution Design Handbook” by John Rhoton and Risto Haukioja was published by Recursive Press in May 2011.
This book is a great addition to other books about cloud computing.
Why? It does NOT give a high-level overview of cloud computing. It does NOT explain the business value. Finally, it does NOT contain tutorials for any specific cloud products.
So what is the content of the book? It covers architectural options for designing a cloud. The book explains many important decisions which have to be done when creating a cloud service or a cloud application.
The integration framework Apache Camel already supports several important cloud services (see my overview article at http://www.kai-waehner.de/blog/2011/07/09/cloud-computing-heterogeneity-will-require-cloud-integration-apache-camel-is-already-prepared for more details). This article describes the combination of Apache Camel and the Amazon Web Services (AWS) interfaces of Simple Storage Service (S3), Simple Queue Service (SQS) and Simple Notification Service (SNS). Thus, The concept of Infrastructure as a Service (IaaS) is used to access messaging systems and data storage without any need for configuration.