What is Teradata? Today’s growing data warehouses demand fast, reliable tools to help acquire and manage data and flexibility to load large volumes of data from database perspective with any source at any time. Challenges come from everywhere: more data sources, growing data volumes, dynamically changing business requirements, and user demands for newer data. Teradata data warehousing systems offer the following: Quick access to data for more timely decision making Solutions for the entire spectrum… read more →
Building a computer can be an intimidating task for someone who has never worked with hardware before. The hardware selection is the most important step when building a computer. This guide is for those interested in learning about customizing hardware selection. It will cover every required component while taking into consideration price, performance and complexity. Each component will also be provided with a budget friendly and current (May 2012) example. Some of the advantages of building… read more →
What Exactly Is Netezza? The IBM Netezza data warehouse appliances are purpose-built for crunching massive volumes of data quickly and efficiently. This is delivered with IBM Netezza Analytics which is fully integrated into the IBM Netezza data warehouse asymmetric massively parallel processing (AMPP) architecture enabling data exploration, model-building, model-diagnostics, and scoring with unprecedented speed. IBM Netezza data warehouse appliances eliminate administrative tasks such as query indexing, storage management, buffer pool tuning, memory allocation, and schema… read more →
Performance is a key factor in the success of any data warehousing project. Care for optimization and performance should be taken into account from the inception of the design and development process. Ideally, a DataStage job should process large volumes of data within a short period of time. For maximum throughput and performance, a well performing infrastructure is required, or else the tuning of DataStage jobs will not make much of a difference. Determining The… read more →
What is cloud computing? Cloud computing is a general term for anything that involves delivering hosted services over the internet. Cloud computing is a technology that uses the internet and central remote servers to maintain data and applications. It allows consumers and businesses to use applications without manual installation and access their personal files at any computer with an internet connection. This technology allows much more efficient computing by centralizing storage, memory, processing and bandwidth. What… read more →
Cloud computing is bringing a new era into the field of data warehousing and business intelligence. Organizations can now analyze large volumes of data in a faster and cheaper way. Cloud computing offers the availability of infrastructure/software in just a matter of minutes, eliminates the need to host data centers, and a pay-per-use service offering. The advantages of cloud computing are described in detail below. Benefits of Cloud Computing for Data Warehousing and Business Intelligence… read more →
InfoSphere Information Server v8.7 is IBM’s newest release of the data integration platform. It was released in October 2011 and it offers some of the new tools which can be extremely valuable to a DataStage developer. Why Upgrade to Information Server 8.7? There are many reasons to stay current with one of the newer releases of DataStage. The most significant reason for upgrading to Information Server 8.7 would be for the new features. New options… read more →
What Is Master Data? Master data is key information that is critical to the operation of a business. In other words, it encompasses the key business entities like customer, product, employee, vendor etc. Master data should not be confused with transactional data or the data in a data warehouse. OLTP takes care of the daily operations/ transactions of an organization. These are action details or in other words verbs like in grammar. Master data has… read more →
As a company, chances are you have valuable data scattered throughout your system that needs to be gathered into a central location and accessed for business analysis. The problem is that currently the data exists in different systems, and in different formats. This is where ETL comes into play. ETL is an acronym for Extract, Transform and Load, and is used to move data from one database to another, to form data marts and data… read more →