As more businesses leverage applications that are hosted in the cloud, the lines between corporate networks and the internet become blurred. Accordingly, enterprises need to develop an effective strategy for ensuring security. The problem is, many of today's most common approaches simply don't work in this new cloud-based environment.
Posted March 03, 2016
The world of IT operations has always had a big data problem. Instrumentation of end users, servers, application components, logs, clickstreams, generated events and incidents, executed notifications and runbooks, CMDBs, Gantt charts—you name it, people in the IT operations area have had to cope with mountains of data. And yet the scope of the problem has been enlarged once again, thanks to industry-wide trends such as bring-your-own-device, the Internet of Things, microservices, cloud-native applications, and social/mobile interaction.
Posted March 03, 2016
To Avoid Costly Outages in 2016, Build IT Maturity Beyond Monitoring
Posted February 24, 2016
The rapid change taking place in software-defined applications and infrastructure was one of the top 10 IT tech trends to watch last year. Certainly, some advancements have been made in this area over the past year. But how far does the industry still need to go? Here are 5 trends that will shape application and infrastructure availability in 2016.
Posted February 24, 2016
There is no denying the fact that cloud-based software and computing services are now accepted as the norm. This change has profound implications on how software applications are architected, delivered, and consumed. This change has ushered in a new generation of technology and an entirely new category in data integration. Today, there are 10 new requirements for an enterprise data integration technology:
Posted February 24, 2016
Storage requirements are growing by leaps and bounds, and more organizations are turning to cloud computing to manage the load. However, cloud isn't necessarily seen as the best approach to data storage bursting—rather, it's mainly being used for backup and for hosting development and test environments, according to a new survey.
Posted February 10, 2016
Cloud-borne data is becoming commonplace—at least at the edges of the enterprise. Organizations are relying, both formally and informally, on cloud-based services for supplemental storage, file sharing, and content management. The challenge now is to bring core enterprise data into the cloud, to render data ranging from financials to sales to performance analytics as services.
Posted February 10, 2016
The business world continues to shortchange a critical step between storing and analyzing the explosion of new data expected over the coming years. A business can quickly move from the old world of siloed, unusable data to a new one where stakeholders around the globe can find information in a few minutes from their local access points. The "findability" of data is particularly important for Global 1000 companies pursuing Industrial Internet-related innovation.
Posted January 27, 2016
As data continues to explode, DBAs must constantly stay a step ahead by finding new ways to improve database efficiency and performance. Managing data in today's complex IT environment requires creative approaches to a number of different DBA processes. Here are useful tips in five main categories that can help DBAs keep their heads above water and allow their companies to more effectively utilize their data to drive business value.
Posted January 27, 2016
When it comes to data protection, every business environment has a unique set of requirements and needs, whether they are looking to secure legacy applications, mobile data, cloud apps, virtualized environments, or any number of different workloads. Unique data requires a unique solution, and yet countless vendors are advertising one-stop solutions described as "one-size-fits-all." But buyer beware: When something seems too good to be true, it usually is, and an easy, one-size-fits-all solution may save you some short term time and money, but can result in major headaches and unforeseen costs in the long run.
Posted January 27, 2016
Recent shifts are driving the adoption of a number of technologies and tools, including containers, which are garnering big attention from investors. The primary advantage of containers is allowing applications to look uniform as they cross between non-production and production environments, and between on-premise and cloud. However, containers on their own, while critical to speeding adoption of DevOps and hybrid cloud deployment, are not sufficient.
Posted January 07, 2016
Exponential data growth is hitting organizations of all sizes hard. It's not enough to merely add more capacity; recovery point objectives must be met, and time is money when it comes to data recovery. The simple truth is that to be effectively managed, adequately protected and completely recovered, your data size must be shrunk.
Posted January 07, 2016
Today, the success of many startups hinges upon the ability to gain insights from rapidly growing data. Yet startups and smaller businesses often don't have the resources to hire a full-scale data science team, especially considering the painful data scientist shortage that's making it difficult for even large enterprises to find qualified candidates. Here are three approaches companies can adopt to deal with their big and complex data analytics challenges in 2016.
Posted January 07, 2016
What's ahead for 2016 in terms of cloud, IoT, big data, analytics, and open source technologies? IT executives gaze into their crystal balls, and weigh in on the upcoming challenges and opportunities ahead in the next year - and beyond.
Posted December 14, 2015
The modern business landscape is a fast-moving, ever-changing, highly competitive environment. For companies to outpace the competition and build upon innovation, they must embrace a modern data architecture. It is necessary that this new architecture support today's new requirements such as mobile integration and advanced digital marketing.
Posted December 02, 2015
It is often said that the only constant is change. For data executives and professionals, the coming year will only bring a lot more of it. Developments as diverse as cloud, big data, real time, NoSQL, analytics, and the Internet of Things (IoT) will continue to reshape enterprise data operations and opportunities as we know them. Here are 16 trends that will shape the enterprise data landscape in 2016.
Posted December 02, 2015
There's no question that the pace of data movement has quickened dramatically in recent years. This calls for new strategies for integrating data at the speed of business. That is the challenge as companies increasingly rely on data analytics in their decision making. In a new survey, a majority of managers and professionals (57%) state their business leaders now rely heavily on analytics in their day-to-day decision making. The survey, covering 303 data managers and professionals and conducted by Unisphere Research, a division of Information Today, Inc., finds that organizations are employing a range of new strategies and approaches to improve the speed of data delivery and integration. The survey, among members of the Independent Oracle Users Group (IOUG), and sponsored by Oracle, included respondents from organizations of all sizes and across various industries.
Posted December 02, 2015
Trend-Setting Products in Data and Information Management for 2016
Posted December 02, 2015
Unlocking the Power of the Data Lake with Security in Mind
Posted November 09, 2015
The DBA's role is becoming increasingly complex and now often involves managing data both on premise and in the cloud, and in a variety of database management systems including not only traditional relational systems such as Oracle, SQL Server, MySQL and others, but also new open source and NoSQL technologies, according to Gerardo Dada, vice president of product marketing, at SolarWinds.
Posted November 09, 2015
Each year at Oracle OpenWorld, new products are introduced and existing ones updated during keynotes and presentations. Along the way, top executives make observations about how IT is changing overall and at customer deployments. This year, the impact of cloud is being felt strongly.
Posted November 09, 2015
Until the safe harbor agreement between U.S. and Europe was ruled invalid recently in a European court, it was understood that for any European company the U.S. was safe, and the data security in the U.S. was acceptable. But the recent ruling by the European Court of Justice says that is "actually not true," said Andreas Gauger, chief marketing officer and cofounder of Profitbricks, a cloud computing IaaS company. Now, a new agreement will have to be forged between the different entities. "Now that band-aid has been ripped off and the wound is open. Now they have to sit down and finally agree on something."
Posted October 22, 2015
With the current rate of data growth, it is not inconceivable that in 3 years, we'll have 10 times the volume of data we have today. The challenge will only continue to grow, but by following the five C's of data visualization, it is possible to prepare data and present eye-opening data visualization to improve users' reporting, analytics, and overall business intelligence.
Posted October 22, 2015
What does it take to have an always-on organization? While an impressive array of technology exists to deliver data on a real-time, continuous basis, even those organizations with multiple redundancies built into their systems and networks still face challenges keeping up.
Posted October 22, 2015
There's unrelenting pressure on businesses to compete on analytics and to be able to anticipate customer needs and trends ahead of the curve. Enterprises are looking to expand BI and analytics capabilities as far and wide as technologies and budgets will allow them to go. As a result, the continuing advance of analytic capabilities across the enterprise has reached a "tipping point."
Posted October 07, 2015
IT suppliers and data management managers are experiencing a major pain point with efficient data logging management. The availability of NoSQL open source software has enabled enterprises to collect large volumes of data from different sources, and software companies have implemented "call back home" features that allow their software to send information to data collection centers within various parameters, creating additional run time configurations and data traffic. And as the Internet of Things and a "connected everything" approach to businesses become increasingly popular, more and more data will flow in and out of data management systems, leaving IT managers muddled with millions of pieces of data they must properly manage and store.
Posted October 07, 2015
Traditional data warehousing models and open source alternatives such as Apache Hadoop and Storm have been touted as solutions to a variety of "big data" challenges. However, utilities have found that these approaches cannot handle the scale and complexity of data generated in industrial environments. Additionally, they fail to provide the real-time analysis and situational awareness that utilities need to improve decision making or address critical events in real-time, such as optimizing crews during outages and severe weather events.
Posted September 24, 2015
10 Ways In-Memory Databases are Helping Enterprises Get Ahead
Posted September 24, 2015
To SQL Server 2012 and Beyond - What to Know Before You Upgrade
Posted September 24, 2015