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Increasingly stringent data privacy regulations along with a generally lower tolerance for data mishandling, are making companies even more concerned about improving their data security postures and thwarting cyber risk.

Posted August 14, 2019

Best Data Replication Solution

Posted August 14, 2019

Best Data Quality Solution

Posted August 14, 2019

Best Data Modeling Solution

Posted August 14, 2019

In the era of big data, volume, variety, and velocity are often mentioned as critical issues. However, at Data Summit 2019, data integration was identified as one of the most critical and disruptive problems facing organizations today.

Posted August 14, 2019

The pressure is on. Today, organizations are under tremendous pressure from business partners, consumers, and regulators to exercise care about how they handle sensitive data of all kinds. Data governance is becoming more challenging due to a confluence of factors, including data volumes exploding, data being collected from more disparate sources, and data no longer being stored centrally, but instead in a combination of on-premise, cloud, and hybrid scenarios.

Posted August 14, 2019

One in four enterprises now regards real-time data as critical to their ongoing operations—and another one in four is actively preparing to introduce real-time data capabilities into their infrastructures. Data-driven innovation is being embraced by almost every department in the enterprise, led by outward-facing departments, with line-of-business owners and marketing departments demanding the most innovation from data.

Posted August 14, 2019

Best Cognitive Solution

Posted August 14, 2019

Cloud is now mainstream, a critical part of data environments,and this trend is only increasing. Gartner estimates that $206 billion will spent on public cloud services in 2019, up 17% from 2018, while IDC estimates that nearly half of IT spending was cloud-based in 2018, "reaching 60% of all IT infrastructure and 60%-70% of all software, services and technology spending by 2020."  

Posted August 14, 2019

DBAs and their organizations are moving to the cloud. A recent survey conducted by Unisphere Research, a division of Information Today, Inc., in partnership with Amazon Web Services, found that, on average, 25% of organizations' critical enterprise data is now managed in public clouds. The survey also found that for 60% of data managers the use of public cloud-based data resources and platforms has increased over the past year.

Posted August 14, 2019

Speed to insight matters more today than ever before. But dealing with the increasing volume of data, and the speed at which this data changes, can be a hindrance to data integration, timely analytics, and rapid decision making. Change data capture supports real-time analytics with less overhead to advance a range of initiatives such as data warehousing, real-time dashboards, data quality, and more.

Posted August 14, 2019

To leverage the immense power of their data, organizations need a solid strategy that incorporates everything from security to data governance to the right big data technologies. Enabling both on-prem and cloud deployments—or a hybrid strategy—big data platforms today support data warehouses, data lakes, data science, engineering, machine learning, myriad database management systems, and much more.

Posted August 14, 2019

The ability to quickly act on information to solve problems or create value has long been the goal of many businesses. But with the combination of greater volume, variety, and velocity, the situation is becoming more vexing. Fortunately, there are business intelligence solutions today with capabilities to support strong data strategies.

Posted August 14, 2019

While IT has evolved significantly in the past decade as hardware and software innovations accelerate and customers seek solutions that increase efficiencies and lower costs, one aspect has remained the same: backup. And as the dependence on data grows for business insights and analytics, backup will only become more important in IT.

Posted August 07, 2019

As access to data and data sources continues to explode, businesses are being forced to rethink their data strategies to consider more information and power real-time intelligent decisions. That is, however, easier said than done. With the amount of data available that is pouring in from a myriad of sources, it can be difficult to identify what provides value, and what is just noise. Increased data and cloud growth has led to data integration challenges.

Posted August 07, 2019

We've reached the point where hybrid cloud arrangements have become commonplace in enterprises, and with this trend come implications for databases and data management. The rise of both hybrid and multi-cloud platforms means data needs to be managed in new ways, industry experts point out. And, there are lingering questions about which data should go into the cloud, and which should stay on-premise.

Posted August 07, 2019

With the emergence of data-intensive activities such AI and the Internet of Things, workloads are getting heavier for data managers. Data managers have seen increases in data volume over the last 3 years and expect this trend to continue. They are also finding it difficult to keep up with this growth. Many DBAs manage more than 10 databases, with some handling hundreds.

Posted August 07, 2019

Protecting Against Cryptomining Malware in 2019: A Layered Approach to Device Management and Security

Posted August 07, 2019

Earlier this year, Google became the first major tech giant to be hit with a General Data Protection Regulation (GDPR) fine—approximately $56.8 million. The stated reason: not giving users enough information about consent policies and sufficient control over how their personal data was being used. However, according to a recent report, 86% of businesses use live customer data for application testing because testers believe this provides the most realistic assessment of how an application will perform "in the wild" for real people. This poses significant risk to organizations.

Posted July 18, 2019

The Right and Left Brain of DevOps and Security: How to Gain a Meeting of the Minds Instead of a Battle of Wills

Posted July 18, 2019

The Perils of Ignoring Employee ‘Leaver' Data in Regulated Industries

Posted July 18, 2019

DBTA 100 2019 - The Companies That Matter Most in Data

Posted June 12, 2019

AI, machine learning, and predictive analytics are used synonymously by even the most data-intensive organizations, but there are subtle, yet important, differences between them. Machine learning is a type of AI that enables machines to process data and learn on their own, without constant human supervision. Predictive analytics uses collected data to predict future outcomes based on historical data.

Posted June 10, 2019

With deep learning so much praised, you've probably read a lot about its positive side. Let's skip the positives and instead concentrate on the things that can go wrong with deep learning-based demand forecasts as well as offer some ways to overcome these problems. 

Posted June 10, 2019

Meet the Data Privacy Challenge: Creating a Culture of Responsibility

Posted June 10, 2019

Information Governance and Data Management Initiatives: Are You Still Waiting to See What the Future Brings?

Posted June 10, 2019

Quantum computing will bring unprecedented advances in medicine, science, and mathematics—knowledge currently out of reach. Many secrets of the universe are on the verge of discovery. But, are we ready for everything to be unlocked? Are we prepared to manage what comes with quantum computing's limitless architecture?

Posted June 10, 2019

While change has always been a part of the database credo, the growing emphasis on data-driven decision making in today's economy has resulted in a dizzying plethora of technologies and methodologies entering the market. The number and scope of game-changing technologies are too numerous to mention, and one thing is certain: Database management will never be the same. We have identified some of the most promising technology initiatives, based on discussions with and input from data experts from across the industry spectrum, gathering their views on the key technologies—well-known or under the radar—that are worth watching.

Posted June 10, 2019

Web data is the world's largest untapped source of data. And now, web data in large volumes can be captured quickly, efficiently and cost-effectively with the introduction of web data integration, a practice that identifies, extracts, prepares, and integrates data for consumption by business applications, analytics, and processes.

Posted June 10, 2019

When it comes to cloud technology, more and more businesses are realizing the benefits that cloud can provide them and are beginning to seek more cloud computing options to conduct their business activities. And obviously, Amazon, Microsoft, Google, Alibaba, IBM, and Oracle plan to capture this spend by providing a dizzying array of IaaS and PaaS offerings to help enterprises build and run their services.

Posted May 01, 2019

Data pipelines speed IoT, predictive analytics, and machine learning projects to their final destination. The new generation of data pipelines also supports governance, which is sure to be in the spotlight during 2019. Enterprises will need to be much more stringent about their data usage and lineage, based on new regulations such as GDPR and consumers' higher expectations of security and privacy.

Posted May 01, 2019

Enterprise agility isn't a single initiative but rather a collection of activities and technologies that lead toward that goal. This includes adoption of microservices, containers, and Kubernetes to increase the flexibility of systems, applications, and data by releasing them from underlying hardware. In addition, practices such as DevOps are helping to increase the level of collaboration possible for fast-moving enterprises.

Posted April 09, 2019

Many companies and government organizations have jumped on the data bandwagon and are hoping to analyze as much data as possible to discover something that might give them a competitive edge or change their operations. Instead of big insights, they have petabytes of big data. They've become compulsive data hoarders while struggling to develop an actionable plan for that data.

Posted April 09, 2019

There's not a business out there that wouldn't want to defend itself against fraudulent activities, hacking attempts, and operations disruptions. And with cases of fraud and cyberattacks on the rise—$16 billion was stolen from 15.4 million U.S. consumers in 2017—businesses need to pay attention to solutions that can help them identify this kind of behavior. Here's where anomaly detection comes in.

Posted April 09, 2019

How Machine Learning is Changing the Way We Think

Posted April 09, 2019

Data-driven attributes that businesses are relying on for growth in the digital economy—AI, machine leading, and the Internet of Things—require databases that are robust and flexible. However, many enterprises are encumbered by the licensing and support issues that typically accompany database systems, resulting in potentially high and unexpected costs, as well as skills shortages.

Posted April 09, 2019

19 Startups to Watch 2019

Posted April 01, 2019

COLLABORATE 2019 is Coming to Texas April 7-11

Posted March 12, 2019

Every day, more technology surrounds us.  Things that were once fiction, are now everyday occurrences.  None of this is by accident or happenstance, this is only through the work of many professionals and even amateurs in the fields of engineering, electronics, and computer science.

Posted March 12, 2019

From April 7-11th, Oracle users from across the world will gather in San Antonio for the largest user-led, user-focused event where they'll get the real story about Oracle products and experience in-depth education and networking to take their Oracle product impact to the next level.

Posted March 12, 2019

One week is all you need. One week at COLLABORATE 19: Technology and Applications Forum for the Oracle Community equips Oracle users with expertise and insight to accelerate performance and maximize Oracle investments. At COLLABORATE 19, April 7-11 in San Antonio, Texas, the OAUG delivers expert on-prem Oracle Applications knowledge and the latest guidance for the Cloud so users can innovate with their current Oracle solutions and strategically plan for the future. Users share lessons learned from real-life implementations, and solutions providers offer a look at the latest, greatest new products.

Posted March 12, 2019

Competitive business strategy increasingly relies on data analytics. The core techniques of data analysis are increasingly accessible thanks to commodity Business Intelligence packages, modern open source AI tools, and cloud services. Given this level playing field for software and algorithms, competitive advantage typically lies in the unique data that a business can gather and feed into its analytics pipelines.

Posted March 04, 2019

In recent years, an unprecedented numbers of companies have moved to the cloud, which is a trend that shows no sign of slowing. Most companies have moved at least part of their data holdings to the cloud, and many more will follow suit in the next few years, effectively shifting data's center-of-gravity from the data center to the cloud. Many are also leveraging multiple vendors, such as Amazon and Microsoft, as part of a multi-cloud strategy that leverages the best features of multiple offerings. Unfortunately, many of the gains realized by cloud technologies will be lost to downtime during the migration.

Posted March 04, 2019

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR. By improving how they pursue machine learning, Scott contends, organizations can attain benefits in both long-term costs and maintenance.

Posted March 04, 2019

At the Cloud Economic Summit in San Francisco, a new consortium called the FinOps Foundation was announced to share best practices for managing the cost of cloud computing. According to the foundation, cloud spending is now a material amount of total IT spend. Similar to the way DevOps ushered in a new way of thinking about development and operations, the foundation says, the FinOps operating model is a combination of systems, best practices, and culture that aims to bring financial accountability to the variable spend model of cloud.

Posted March 04, 2019

In a post-GDPR world, the attention rests on which companies will be impacted by data breaches, what the total fines will be, and what the public scrutiny will entail. Though the impact of the fines—4% of a company's annual worldwide revenue or €20 million ($22.9 million) (whichever is greater)—is certainly eye-catching, a data  breach could leave a company destabilized for years afterwards.

Posted February 08, 2019

In the days of cloud computing and agile development, it might seem that being a DBA is somewhat less appealing as a career choice. However, the role of DBA is changing; it is not going away. In fact, it is becoming even more important.

Posted February 08, 2019

Increasingly, cloud services are seen as a vital resource in the data manager's toolkit. There's good reason why cloud is a preferred option: There are simply not enough on-premise resources to keep up with the growth of data management requirements. Organizations keep evolving, business priorities keep shifting, data compliance requirements keep expanding, and user demands keep growing. Already, one-fourth of corporate data is being maintained by cloud providers, and data managers intend to move as much of their data environments into the cloud as soon as they can. 

Posted February 08, 2019

The past year brought many data breaches and incidents of PII mishandling. With confidential information being compromised routinely, data privacy regulations are also on the rise. Here, top IT executives reflect on the current data security landscape and what we can expect in 2019.

Posted January 02, 2019

Although Windows and Linux were traditionally viewed as competitors, modern IT advancements have ensured much needed network availability between these ecosystems for redundancy, fault tolerance, and competitive advantage.

Posted January 02, 2019

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