How would you like your corporate data turned into a beautiful, easy-to-read graph with one simple command?
As the popularity of big data continues to grow, the business intelligence and analytics software market is reaching new levels of maturity.
Starting with a Windows 10 preview event, moving to its own developer-focused Build 2015 and finishing with the enterprise IT-oriented Ignite, Microsoft has recently shown its tech hand.
Welcome to the information age, a time when businesses have access to a wealth of different data, ranging from first-party collected facts to Web analytics metrics. While organizations have always used data in one form or another to drive decision-making processes, companies nowadays are easily gathering information from CRM and ERP systems as well as discovering a variety of different data sources, including social media, cybersecurity reporting tools and industry studies.
One of the most critical initiatives for any organization involves building a business intelligence infrastructure and solution. Before embarking on this endeavor, it is key to put the proper resources in place for a successful business intelligence implementation and evolution.
All too often, the Internet of Things is referred to as an anticipated technology that manufacturers haven't quite figured out how to handle yet. However, production companies distributed throughout the United States are leveraging IoT to improve operations and maintain an accurate, real-time record of all assets.
Many businesses often misunderstand what Hadoop is and how it applies to their business needs. Large enterprises collecting massive amounts of data often encounter database administration problems. In response, they typically hire outside experts who leverage Hadoop to help companies better manage information aggregation.
The information collected by application developers, retailers and other organizations supersedes the basic, numeric form characteristic of an Excel spreadsheet. Documents containing written language hold a large amount of intelligence that can greatly assist businesses and public authorities looking to obtain insight into various situations. In order to harness this unstructured data, database experts have maintained that a switch to non-relational databases is imperative.
Experts have lauded in-memory databases (IMDBs) for their ability to improve data mining and analysis endeavors. Database administration professionals have encountered IMDBs more often now than in recent years, primarily because big data analytics have become so popular with businesses.
Regulations dictated by the Affordable Care Act and the Center for Medicare and Medicaid Services' (CMS) Meaningful Use laws will likely require health care organizations to seek database support services. Stage 2 of the latter legislature requires hospitals, clinics, insurance companies and other entities partaking in the medical industry to adopt electronic health records, so that it's easier for professionals to share patient information - the hope being better, cheaper care for individuals.