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Trends and Applications



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

As the largest ticketing agency in America, Ticketmaster is responsible for processing between 150,000 and 300,000 transactions a day, and 5,000 transactions a minute during peak times. To service its customers, Ticketmaster has used Dell's SharePlex for replication and high availability to support its online sales since 2002.

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

Traditionally, the cardinal rule has been to model data first and load it later. But with new technologies and repositories such as Hadoop, NoSQL, and data lakes, and big data itself, the rule is being flipped to load first and model later. And, with SQL remaining an effective and widely embraced query language, companies have to balance working with traditional methods against the need for some of the newer methods as well.

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

The pressure is on for organizations to react faster to changing opportunities and risks by leveraging data to improve decision making. In addition to well-established data management approaches such as relational, MultiValue, and the mainframe, there are now hybrid scenarios incorporating cloud, NoSQL, Hadoop, Spark, and other open source projects. Here, Database Trends and Applications magazine presents the list of Trend-Setting Products for 2016.

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The concept of the data lake has become a hot topic. The data lake retains data in its original format to allow the data to be more flexible for everyone involved. While this sounds fine in theory, it is a more complicated in practice due to the need for governance and security.

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

In-memory databases and grids have entered the enterprise mainstream. New offerings from pure-play in-memory database providers as well as the large relational database management systems vendors are helping organizations that are scrambling to keep pace with the demands of an always-on, real-time economy. These in-memory databases are emerging in many forms—from extensions of relational database management systems to NoSQL databases to cloud hosted NoSQL databases. These new technologies couldn't come a moment too soon.

Posted September 24, 2015

Microsoft has been releasing newer versions of SQL with greater frequency, prompting DBAs to constantly ask themselves: "Is it time to upgrade?" Once that answer is yes, they have a lot of information to parse through to see what is right for their unique needs and finances.

Posted September 24, 2015

There are various terms being bandied about that describe the new world data centers are entering—from the "third platform" to the "digital enterprise" to the "always-on" organization. Whatever the terminology, it's clear there is a monumental shift underway. Business and IT leaders alike are rethinking their approaches to technology, rethinking their roles in managing this technology, and, ultimately, rethinking their businesses. The underlying technologies supporting this movement—social, mobile, data analytics, and cloud—are also causing IT leaders to rethink the way in which database systems are being developed and deployed.

Posted September 24, 2015

There are a lot of moving parts that data managers and professionals need to attend to in today's enterprises. Here are the eight things that matter the most in today's market.

Posted September 09, 2015

Marketers continue to become more technologically astute as their roles evolve, but one tool remains under-utilized: data management platforms. These platforms provide numerous ways for marketers to slice and dice data to develop compelling ways to reach customers, often in real time. However, when used incorrectly, these platforms can push marketing campaigns off-course - which is why marketers must get smart on what the platforms are designed to do and how to use them most effectively.

Posted September 09, 2015

To help companies get more value from big data, SAP has introduced HANA Vora, a new in-memory computing engine that leverages and extends the Apache Spark execution framework to provide enriched, interactive analytics on Hadoop. HANA Vora is a completely new product built from the ground up and is aimed at better processing of data to make business decisions.

Posted September 09, 2015

With predictive and prescriptive analytics beginning to gain traction in B2B markets, CIOs are faced with the ever-present build-versus-buy decision. Yet, building the in-house expertise to tackle advanced analytics is a very costly, time-consuming and risky endeavor. When considering SaaS solutions, one of the primary concerns for any CIO should be data security since advanced analytics solutions will require the use of company data.

Posted September 09, 2015

MongoDB announced plans to offer support for MongoDB's products on IBM z Systems mainframe. The announcement comes as IBM launches LinuxONE, a new portfolio of hardware, software and services solutions based on the z Systems mainframe that's designed for enterprise-grade Linux applications.

Posted September 09, 2015

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