Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.  Abstract Our guest this week is Jacques Roy, Executive IT Specialist for Watson Data and AI at IBM. Jacques has extensive experience within IBM's technical engagement groups, on both sales and development teams. He talks us through the need to continue to evolve with the industry, as failing to do so can often lead you to become obsolete and less competitive within the job market. He argues that the effort required to get up to speed is more often less demanding than what it may seem, and he has created a youtube channel dedicated to helping others become apart of the conversation.  Connect with Jacques LinkedIn Twitter  YouTube Medium Show Notes 01:36 - Check out these cool things to do in Portland. 07:05 - Are you new to sales? Take a look at these tips for getting started in the industry.  18:57 - This article focuses on how the Database Administrator role is changing. 23:39 - Get an overview of Informix here. Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.  Producer Mark Simmonds - LinkedIn.  Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Gain a competitive edge with IBM Streams Turn data-in-motion into solid business opportunities with IBM Streams and let Streaming Analytics with IBM Streams show you how. This comprehensive guide starts out with a brief overview of different technologies used for big data processing and explanations on how data-in-motion can be utilized for business advantages. You will learn how to apply big data analytics and how they benefit from data-in-motion. Discover all about Streams starting with the main components then dive further with Stream instillation, and upgrade and management capabilities including tools used for production. Through a solid understanding of big in motion, detailed illustrations, Endnotes that provide additional learning resources, and end of chapter summaries with helpful insight, data analysists and professionals looking to get more from their data will benefit from expert insight on: Data-in-motion processing and how it can be applied to generate new business opportunities The three approaches to processing data in motion and pros and cons of each The main components of Streams from runtime to installation and administration Multiple purposes of the Text Analytics toolkit The evolving Streams ecosystem A detailed roadmap for programmers to quickly become fluent with Streams Data-in-motion is rapidly becoming a business tool used to discover more about customers and opportunities, however it is only valuable if have the tools and knowledge to analyze and apply. This is an expert guide to IBM Streams and how you can harness this powerful tool to gain a competitive business edge.

The world is becoming more and more instrumented, interconnected, and intelligent in what IBM® terms a smarter planet, with more and more data being collected for analysis. In trade magazines, this trend is called big data. As part of this trend, the following types of time-based information are collected: Large data centers support a corporation or provide cloud services. These data centers need to collect temperature, humidity, and other types of Utility meters (referred to as smart meters) allow utility companies to collect information over a wireless network and to collect more data than ever before. IBM Informix® TimeSeries is optimized for the processing of time-based data and can provide the following benefits: Storage savings: Storage can be optimized when you know the characteristics of your time-based data. Informix TimeSeries often uses one third of the storage space that is required by a standard relational database. Query performance: Informix TimeSeries takes into consideration the type of data to optimize its organization on disk and eliminates the need for some large indexes and additional sorting. For these reasons and more, some queries can easily have an order of magnitude performance improvement compared to standard relational. Simpler queries: Informix TimeSeries includes a large set of specialized functions that allow you to better express the processing that you want to execute. It even provides a toolkit so that you can add proprietary algoritms to the library. This IBM Redbooks® publication is for people who want to implement a solution that revolves around time-based data. It gives you the information that you need to get started and be productive with Informix TimeSeries.

In this IBM Redbooks publication, we provide an overview of Informix Dynamic Server (IDS) 11. IDS is designed to help businesses leverage their existing information assets as they move into an on demand business environment. Requirements here call for a flexible data server that can accommodate growth, in applications, data volume, and numbers of users. And it offers the capability to minimize downtime and to provide the high availability required today. A new suite of business availability functionality provides greater flexibility and performance, automated statistical and performance metric gathering, improvements in administration, and reductions in operating costs. The IDS technology enables efficient use of existing hardware and software, including single and multiprocessor architectures. And it helps you keep up with technological growth, including such things as the use of nontraditional data types. Built on the IBM Informix Dynamic Scalable Architecture™ (DSA), IDS provides a next-generation parallel data server architecture that delivers mainframe-caliber scalability; manageability and performance; minimal operating system overhead; and automatic workload distribution. IDS delivers a lower total cost of ownership (TCO) by leveraging its well-regarded general ease of use and systems administration. It enables customers to use information in new and more efficient ways to create business advantage.

This IBM Redbooks publication provides an overview of the Informix Dynamic Server (IDS), Version 10. IDS provides the reliability, flexibility, and ease of maintenance that can enable you to adapt to new customer requirements. It is well known for its blazing online transaction processing (OLTP) performance, legendary reliability, and nearly hands-free administration for businesses of all sizes--all while simplifying and automating enterprise database deployment. Version 10 offers significant improvements in performance, availability, security, and manageability, including patent-pending technology that virtually eliminates downtime and automates many of the tasks that are associated with deploying mission-critical enterprise systems. New features speed application development, enable more robust enterprise data replication, and enable improved programmer productivity through support of IBM Rational development tools, JDBC 3.0, and Microsoft .NET as examples. Version 10 provides a robust foundation for e-business infrastructures with optimized Java support, IBM WebSphere certification, and XML and Web services support. Ready for service-oriented architecture (SOA)? This book also includes descriptions and demonstrations of support that are specific to IDS for an SOA.