Category: DB2

Feed: Databasejournal.com - Feature Database Articles. Author: . In September 2018, IBM announced a new product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to decide on optimal patterns and passes this information to the Db2 query optimizer for use by subsequent statements. Machine Learning on the IBM z Platform In May of 2018, IBM announced version 1.2 of its Machine Learning for z/OS (MLz) product. This is a hybrid zServer and cloud software suite that ingests performance data, analyzes and builds models that represent the health ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . The IBM Db2 family includes products for operational databases, data warehouses, data lakes and fast data. The IBM DB2 Relational Database Management System is designed to store, analyze and retrieve the data efficiently. DB2 is extended with the support of Object-Oriented features and non-relational structures with XML. The Data warehouse includes a common SQL engine to support a wide range of data structures and types. IBM Data Lake enables agile, data-driven decisions by utilizing vast amounts of unstructured data that historically could not be analyzed. IBM Fast Data combines fast data ingestion ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . How Analytics Began Business analytics began as the science and art of analyzing large volumes of data to determine trends and correlations that could be used to make business decisions. The origin of analytic processing began with the emergence of the enterprise data warehouse in the late 1990s. The typical warehouse began as an accumulation of regular (usually daily) snapshots of production data that were transformed and cleansed to remove invalid or missing data. While warehouses began as co-located with their operational sources, it soon became obvious that the ever-growing amounts of ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . As big data solutions grow in size and complexity, concerns can rise about future performance. Will the current application scale up and out? Are there potential issues with data consistency? Can your big data application co-exist on the same hardware with regular production processing, or is it destined to be implemented in either a stand-alone configuration or in the cloud? One way to assess the potential effects of these issues is to measure your big data application’s health. In the Beginning Early big data solutions were presented as stand-alone, turnkey systems that ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . Until recently, business analytics against big data and the enterprise data warehouse had to come from sophisticated software packages. This was because many statistical functions such as medians and quartiles were not available in basic SQL, forcing the packages to retrieve large result sets and perform aggregations and statistics locally. Today, many database management systems have incorporated these functions into SQL. This includes IBM's flagship product, Db2. Basic Analytics Many large IT shops implemented big data solutions over a decade ago. At that time, the science of statistics was well-established. Business analysts ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . A new separately-priced software offering from IBM on z/OS systems uses machine learning and artificial intelligence to assist the Db2 Optimizer in choosing high-performance access paths for SQL statements. Database Proliferation Affects DBAs At the enterprise level, it is now normal to expect that production applications issue hundreds of thousands (or even millions) of SQL statements every day. These statements run the gamut of complexity from single-row requests based upon a unique key to multi-table joins to business analytical queries involving scores of tables and potentially running for hours. Yet, despite decades ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . Db2 Version 12, the latest version of IBM's flagship database management system for the z/OS hardware platform, includes many new and improved features specifically aimed at improving application performance. As today's development teams are driven to implement applications at a faster pace, the DBMS must support the ability to retrieve data quickly, while at the same time reducing overall resource usage. Here is a detailed look at some modern transactional data processing issues and how Db2 meets these challenges. The Challenge of the Data Archive Due to governmental regulations or compliance reasons, ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . IBM's Db2 Version 12 for z/OS was designed to synergize with new IBM z14 hardware, which includes several new and updated options for hardware-assisted data encryption and compression. These features can be used by the database management system to store and retrieve encrypted and compressed data transparently without application knowledge or intervention. This is a significant advance from prior software-based processes, which could be extremely CPU-intensive. By offloading encryption and compression work to specialized hardware, Db2 can reduce CPU costs while also shortening transaction times. Encryption Basics As children, many of us ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . Background In the world of paradigm shifts, many organizations are looking at the prospect of a technology migration, where capabilities are moved to a new set of technologies, supporting and enabling the business for the future.  On other hand, a technology or platform may reach the end of its life for other business reasons, like ease of use, increased cost, etc. In this article we will discuss what the steps that can be followed to migrate on-premise Oracle database to the SQL Server cloud database, Azure SQL Database. This technology migration requires ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . Typical big data applications have a load phase, where a snapshot of data is extracted from operational systems, transformed and cleaned, and then loaded into your big data appliance. Analysts and data scientists can then execute business analytics (BI) queries against the data store in search of patterns and potential marketing opportunities and cost savings. One disadvantage of this architecture is that your appliance becomes more like a large data warehouse, in that it does not contain the most up-to-date data. IBM now provides an option to configure its Db2 version 11 ... Read More