For many organizations, the IBM® System z® platform holds the mission-critical information that forms the basis of key decisions. It might not be surprising, then, that more and more organizations that use System z are moving analytics and decision engines closer to the rich source of trusted information held in their databases and data warehouses. Research from IBM and industry analysts shows that big data technologies are being used primarily to analyze transactional data from enterprise applications. Telemetry and social media data, while important, are often secondary sources used to augment insights from transactional data.
IBM DB2® for z/OS® and IBM IMS™ databases are at the core of many organizations’ applications and processes. DB2 in particular is central to many data warehouse and master data management (MDM) solutions. But how do these databases interact and integrate with all that “other” data?
Let’s consider ways in which these two worlds could integrate:
IMS takes a similar approach to the one above, calling and invoking big data services as necessary but also using the InfoSphere BigInsights V2.0 machine data analytics accelerator to ingest, parse, and extract a variety of machine data from sources such as log files, smart devices, and telemetry. By using the machine data analytics accelerator, organizations gain insights into operations, customer experiences, transactions, and behavior. The resulting information could be used to proactively boost operational efficiency, troubleshoot problems, investigate security incidents, and monitor end-to-end infrastructure to avoid service degradation or outages.
With the massive volumes and variety of data held in System z databases and data warehouses, and potentially more information flowing into the platform from other sources, organizations want answers and more insights faster. The IBM DB2 Analytics Accelerator for z/OS enables queries to return answers in seconds and minutes—instead of hours and days—without any changes to the existing infrastructure or applications. The DB2 for z/OS optimizer code decides whether to run the query locally or offload it to the accelerator.
The System z platform provides key qualities of service to support organizations’ big data initiatives, offering ultimate security, availability, scalability, integrity, performance, and extensibility. System z can serve as a big data hub, holding mission-critical data and offering best-of-breed business analytics solutions and open integration. It can also be the ultimate consolidation platform, managing data held natively on z/OS, Linux on System z, or other environments through the IBM zEnterprise® BladeCenter® Extension (zBX) as part of a single logical virtualized environment using IBM zEnterprise Unified Resource Manager.
To find out more about how System z is being used by organizations for their big data initiatives, watch this short customer testimonial from Banca Carige.
Please feel free to post questions or comments for me below.