Is it getting easier or more difficult to lock down data in today's digital enterprises? Industry leaders have mixed opinions on the state of that challenge. Cloud vendors promise industrial-grade security for backend applications and data, while at the same time the move to cloud increases complexity.
Posted October 06, 2022
As one of the fundamental building blocks of the metaverse, IoT digital twins have moved beyond the realms of simulation to facilitate an understanding of real-world problems. Take the European Union's "Destination Earth" initiative. This is drawing on a host of environmental, socioeconomic, and satellite data to develop digital "twins" of the planet in an effort to combat climate change, but the benefits do not stop there, particularly in the B2B world. For risk-averse companies in asset-intensive industries, digital twin technology is set to bring unparalleled value to mission-critical maintenance tasks and enable the delivery of more immersive product experiences to the end customer.
Posted October 06, 2022
Kubernetes (K8s) gives us an elegant approach to scaling stateless workloads. By itself, scaling stateless workloads will run into bottlenecks if the underlying database doesn't have a corresponding approach to scaling its workload. As an Amazon Web Services (AWS) managed service, Amazon Aurora Serverless v2 mirrors K8s by providing a similarly fluid ability to scale the database workload. This article describes how you can bridge these two worlds to get the best of each world by managing Amazon Aurora as an external AWS managed resource directly from K8s.
Posted October 04, 2022
Many customers choose to run their Microsoft SQL Server workloads on Amazon RDS for SQL Server to take advantage of its fully-managed services, high performance, and straight forward homogeneous migration to the cloud. Speed and performance are often prioritized over cost when customers first move to the cloud, which results in oversized instances and underutilized spend on unused resources. However, rightsizing your databases in the cloud is needed to achieve long-term cost efficiency.
Posted September 22, 2022
Data observability is a relatively new discipline in the fields of data engineering and data management. While many are familiar with the longstanding concepts of observability and monitoring in enterprise IT networks and infrastructure, data observability has only really come into the spotlight in the last two years. However, it has managed to turn a lot of heads in that short time.
Posted September 08, 2022
NoSQL databases, also referred to as non-relational, continue to grow in popularity both on-premises and in the cloud. Of the 395 different database management systems tracked by site DB-engines, more than half are non-relational. These include key-value, document, graph, time series, and many more database models that fall into the NoSQL category. As more organizations modernize their applications or develop new applications from scratch, they adopt a microservices-based architecture that allows them to take advantage of the benefits of NoSQL databases
Posted September 06, 2022
Microsoft SQL Server is a relational database service that supports transactional processing and analytics. With a 30-plus year history, SQL Server has been a mainstay at many organizations. Now, however, open-source technologies like PostgreSQL, have become increasingly popular for customers. More and more customers are migrating to them from overpriced, restrictive commercial databases that lock them in. With an increasing array of choices, the same organizations are looking for lower cost options, including low-cost, cloud-native, fully managed database services like Amazon Aurora PostgreSQL-Compatible Edition, as this lowers total cost of ownership while providing the desired performance.
Posted September 06, 2022
Kubernetes has fundamentally changed the way organizations manage and deploy software. At its core, Kubernetes provides a unified API for infrastructure that abstracts differences between cloud providers and their underlying infrastructure so that Kubernetes users can focus on defining their application workloads. By popularizing declarative management of resources, Kubernetes has transformed the IT landscape, particularly through "GitOps" workflows. Kubernetes is also extensible, enabling users to build their own APIs through custom resource definitions and controllers.
Posted August 25, 2022
Today's enterprises need to be more agile to improve their customer's experience, respond to changes quickly, and have the freedom to innovate. As part of their digital transformation journey in the cloud, these businesses need the ability to connect more devices to their applications, faster than ever—from smartphones to connected cars, from manufacturing plants to smart devices in our homes. Therefore, these applications need to scale quickly to potentially millions of users, have global availability, manage large volumes of data, and provide ultra-fast response times for customers.
Posted August 25, 2022
Thanks to significant innovation and recent disruption in the data management space, organizations are achieving unprecedented value from both internal and external data. Much emphasis has been placed on the importance of achieving digital transformation, yet thanks to these rich data assets, organizations are finding new ways to serve customers across both digital and physical boundaries.
Posted August 11, 2022
The data lakehouse, data fabric, and data mesh, are no longer just dreams shared by analysts at conference presentations. A new survey of more than 200 IT leaders by Unisphere Research, a division of Information Today, Inc., finds considerable uptake of these modern data architectures. "The Move to Modern Data Architecture: 2022 Data Delivery and Consumption Patterns Survey," May 2022, was conducted in partnership with ChaosSearch and included input from directors/managers of IT, directors/managers of analytics, and data architects.
Posted August 11, 2022
The challenge with modern supply chains is one of multiple pressures hitting all at once. These include pandemic-induced disruptions, cyber attacks targeting supply chains and the effect that financial and trade sanctions are having on Russia for its war in Ukraine. To be more resilient, many companies have opened the spigot on enterprise investment and technology innovation for supply chain modernization. But these efforts must be well-coordinated to be effective.
Posted August 11, 2022
These days, data managers have an embarrassment of riches when it comes to the platforming, storage, and provisioning of data and associated analytics applications. However, selecting the right environment for pressing business needs can be confusing and overwhelming. The key is understanding how to map the right technologies to the business problems or opportunities at hand.
Posted August 11, 2022
Accelerated digital transformation has been felt in a variety of ways across all industry sectors for the past 2 years. Digital infrastructure resiliency and agility are crucial in periods of uncertainty and disruption, which many organizations are experiencing with the confluence of disrupted supply chains, rising inflation, geopolitical instability, energy price spikes, the ongoing global pandemic, and climate change.
Posted August 10, 2022
AI is delivering new benefits and efficiencies to organizations through greater automation capabilities, ease of use, and accessibility—across a variety of use cases. Spurred by the COVID-19 pandemic and a host of other compounding factors such as climate change and sustainability, supply chain delays, the Great Resignation, and the war in Ukraine, companies are scrambling to take advantage of what AI has to offer during this upheaval.
Posted July 13, 2022
Ask a data engineer why they got into the field, and they'll likely share how they looked forward to bringing concepts to life or solving complex challenges; or they wanted to share their expertise in a collaborative, agile environment; or they simply wanted to provide better visibility into the way products work for end users—and how it could be improved.
Posted July 07, 2022
What's the hardest part of managing a merger, acquisition, or divestiture? The answer may seem to be getting lawyers and regulators to sign off on the deal or handling the business restructuring that follows. But here's another hairy M&A and divestiture challenge which executives too often underestimate: migrating massive amounts data, most of it unstructured, between entities.
Posted July 07, 2022
The pandemic has expedited businesses' need to digitally transform. Surging digital demands paired with talent shortages while using legacy technologies have made it nearly impossible for businesses to keep pace with change, innovate, and stay ahead of the competition. To meet these challenges, organizations need technologies that make it easier to build applications and streamline workflows. The answer? Low code development.
Posted July 07, 2022
Serverless databases are here, and there is no going back. We first saw the emergence of serverless technology in the application layer, with fixed capacity for relational databases. Now, with serverless databases, both the application and database layers can scale automatically with no performance bottleneck. Data and modern databases are critical to an organization's data strategy and digital transformation initiatives. With serverless databases, IT teams have the ability to drive more of these initiatives.
Posted June 15, 2022
Today, data-driven benefits abound. However, the ability to seize new business opportunities, create new products, and deal effectively with competitive issues requires strong data management and analytics capabilities. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with data for their customers. Spanning the wide range of established to cutting edge, this year's DBTA 100 is a list of hardware, software, and service providers working to enable their customers' data-driven future.
Posted June 08, 2022
With greater automation and more robust cloud services, today's data professionals are seeing their roles elevated, working more closely with their businesses to deliver data-driven capabilities. At the same time, they, too, are feeling the effects of "The Great Resignation," reporting higher-than-usual turnover and increased pressure on overworked staffs.
Posted June 02, 2022
As we advance deeper into the digitally roaring 2020s, data executives and professionals are seeing change on a scale never seen before in their careers. A new generation of technologies that often build on previous solutions means new ways of working and ensuring performance for today's increasingly data-driven enterprises. We asked industry leaders for their views on what technology is enhancing enterprises' ability to compete on data.
Posted June 02, 2022
To serve the data analytics and applications for business growth and operational needs, data lakes are being widely adopted as the data infrastructure because of their scalability and flexibility. Data lakes are strong at parking petabytes of data and production delivery as a result of their "schema-on-read" structure. But every coin has two sides. Data lakes, as a semantically flexible data store and bypassed governance efforts, have been seen as muddy swamps and inefficient in data management.
Posted June 02, 2022
Data fabrics are an emerging technology, a modern distributed data framework encompassing architecture as well as data management and integration software, designed to help organizations manage their data. Data fabrics can help get more—and more relevant—data into workflows faster for business intelligence and reporting. Much the way businesses use IT architectures to manage and maintain IT assets, data fabrics help businesses manage and get value from data.
Posted June 02, 2022
Broadcom Inc., a global technology provider that designs, develops, and supplies semiconductor and infrastructure software solutions, announced it is acquiring VMware, Inc., an innovator in enterprise software. Broadcom will acquire all of the outstanding shares of VMware in a cash-and-stock transaction that values VMware at approximately $61 billion, based on the closing price of Broadcom common stock on May 25, 2022. In addition, Broadcom will assume $8 billion of VMware net debt.
Posted June 02, 2022
Companies now collect more data than ever before, but challenges remain for accessing and analyzing them. David Armlin, VP solution architect and customer success, ChaosSearch, discussed "Learn, Unlearn, Relearn: Embracing the Future of Cloud Analytics," during his Data Summit 2022 session.
Posted June 02, 2022
There are so many new buzzwords lately, including the data lakehouse, data mesh, and data fabric, just to name a few. But what do all these terms mean, and how do they compare to a data warehouse? This presentation covers all of them in detail and explains the pros and cons of each, with suggested use cases so attendees can see what approach will really work best for their big data needs.
Posted June 02, 2022
Data is one of the most valuable assets your company owns. Database management, however, is undifferentiated heavy lifting that incurs high operational costs. Management of your database, such as applying patches, managing backups and failovers, is not where you provide value to your customers.
Posted May 04, 2022
The volume, velocity and veracity of today's data deluge has put immense pressure on underlying data platforms and organizations' abilities to manage them effectively. And the pandemic has only exacerbated the problem. According to a 2021 survey, nearly half of digital architects are under high or extremely high pressure to deliver digital projects, but 61% blame legacy technology for making it difficult to complete modernization efforts. That said, databases of all types—SQL, NoSQL, or NewSQL—be they on-prem, cloud, hybrid, or edge, are struggling to navigate this new reality.
Posted May 04, 2022
No other subject seems to capture the attention of IT leaders right now like database migrations. If there were an IT theme for 2022, it would be: Enterprises migrate from legacy data warehouses to the cloud. And it is no longer just the "early adopters" but the entire customer base that is looking to make the move to cloud-based systems. Let's examine the three most common problems that hamper the execution of migration projects and what can be done to avert migration disasters.
Posted May 04, 2022
PostgreSQL compatibility is a no-brainer for any modern database offering a unique feature set. Every modern database vendor is now offering some level of compatibility to reach developers and increase adoption. Recently, Google Spanner announced compatibility, saying, "PostgreSQL has emerged as the ‘API' for operational databases." But, even if a database claims compatibility, it can be difficult to decipher what that means in relation to another database, as not all "compatibility" is created equal.
Posted May 04, 2022
Your database environment is getting more complex. If that sounds like old hat, that's because it is.For years, articles like this have warned of the dangers of increasingly convoluted database environments. They've discussed how Database Administrators (DBAs) are now tasked with managing thousands of databases and supporting technologies. They've lamented over increasing fragmentation and workflow-stymying bottlenecks, which have, among a whole list of things, significantly hampered developer velocity. And they've explained that opting for specialized databases and tools for every need can quickly spiral into vendor lock-in, swelling support contracts, and surrendered control over your data.
Posted May 04, 2022
The 9th annual Data Summit conference will be held May 17-18, 2022, at the Hyatt Regency Boston. Pre-conference workshops will take place on May 16, 2022. The program is available for review and a variety of pass options are available to suit individual requirements.
Posted May 04, 2022
It's no secret that businesses have become more data-driven in recent years, with powerful big data analytics increasingly delivering on the promise of adding business value. As a result, the quality and enrichment of data have become top priorities for business leaders on a global scale. In fact, according to a recent survey of chief data officers, 88% have started building automation into their data management processes to help manage data quality.
Posted April 07, 2022
It is well known that a database is the fundamental building block for any data-based initiative. Databases are used when collecting, storing, processing, and analyzing data. A database is the silent component that drives business decisions and operational improvements or simply keeps track of inventory. As much as the database should be the almost invisible part of these processes, it is crucial to make the right choice. While it might look easy to select a suitable database, there are a few things to evaluate when making a decision.
Posted April 07, 2022
As everyone pushes for real-time analytics, more responsive online services, and more protection against cybercrime, data resiliency has moved front and center. Put simply, data must be available at all times. This requires a shift in conventional thinking toward data resiliency strategies in recognition of the fact that it is no longer a technical issue; it's a business issue.
Posted April 07, 2022
Enterprises are just scratching the surface of data-driven opportunities, and many simply aren't ready to leverage their data assets to lead their markets. There are concerns about the security of sharing data between organizations, as well as identifying and building platforms to accomplish a data-driven infrastructure. These concerns may abate as data-driven partner ecosystems and benefits develop.
Posted April 07, 2022
Anyone investing in an SAP ERP solution running on Oracle Linux is clearly serious about ensuring that their critical line of business systems run smoothly, predictably, and efficiently. It should go without saying that those operations will be consistently accessible and run without unexpected interruption. Saying nothing, though, would be a mistake, for there's nothing magical about Oracle Linux that inherently guarantees high availability (HA) for an SAP landscape. Without proper planning and an infrastructure configured for HA, that big investment is vulnerable.
Posted March 16, 2022
Data center downtime and outages are undoubtedly costly—with 40% costing between $100,000 and $1 million each according to a 2020 Uptime Institute report. Ironically, data center management hasn't always been driven by much data. The good news is data center failures are largely avoidable. The bad news is most operators aren't employing the data center analytics solutions needed to proactively predict and prevent downtime.
Posted March 11, 2022
In the world of DataOps, the dual mandate of data democratization and the need for privacy, security, and compliance are pushed front and center. The speed and simplicity of cloud analytics adoption is opening a new world of risk for corporate data governance teams mandated with ensuring organizations remain compliant in an increasingly complex world of global regulations. In short, managing data and access governance in a traditional top-down, IT-controlled manner, while managing data, analytical, and visualization technologies via a decentralized, agile DataOps framework, is a recipe for disaster.
Posted March 11, 2022
Anyone investing in an SAP ERP solution running on Oracle Linux is clearly serious about ensuring that their critical line of business systems run smoothly, predictably, and efficiently. It should go without saying that those operations will be consistently accessible and run without unexpected interruption. Saying nothing, though, would be a mistake, for there's nothing magical about Oracle Linux that inherently guarantees high availability (HA) for an SAP landscape. Without proper planning and an infrastructure configured for HA, that big investment is vulnerable.
Posted March 11, 2022
Junk data is any data that is not governed. Junk data starts to accumulate when individuals make copies of data from a larger dataset for a particular use case, make changes to it, and then do not integrate those changes into the larger set. By taking the time to invest in data integrity upfront, a company can ensure the quality and security of its data assets are appropriately available to the business ultimately saving time and money.
Posted March 11, 2022
Major technology trends are reshaping the DBA role at many organizations. The size and complexity of database environments continues to grow with higher data volumes, more workloads, and an increasing rate of database deployments that need to be managed. To help IT decision makers and database professionals tackle these changes, challenges, and opportunities, DBTA recently held a special roundtable webinar with Kathryn Sizemore, senior MySQL/MariaDB database administrator, Datavail and Devin Gallagher, senior sales engineer, IDERA.
Posted March 11, 2022
IBM Security has released its annual X-Force Threat Intelligence Index unveiling how ransomware and vulnerability exploitations together were able to hurt businesses in 2021, further burdening global supply chains, with manufacturing emerging as the most targeted industry.IBM Security X-Force said that while phishing was the most common cause of cyberattacks in general in the past year, it observed a 33% increase in attacks caused by vulnerability exploitation of unpatched software.
Posted March 11, 2022
Each year, Data Summit features industry-leading experts covering the topics that matter most for data professionals who want to stay on top of the latest technologies and strategies. The conference program is now available for review, and a variety of pass options are being offered, including special pricing for attendees who register early.
Posted March 11, 2022
The costs of downtime—even for a minute—are simply too steep for today's digitally evolving enterprises to tolerate. As part of their efforts to keep expensive downtime at bay—and ensure the continued viability and availability of data—data managers are increasingly turning to strategies such as automation and cloud services. Still, they continue to have difficulties and acknowledge that keeping their data environments up-to-date is holding them back from delivering more capabilities to their organizations.
Posted February 08, 2022
Data management has never been so unfettered—and yet so complicated at the same time. An emerging generation of tools and platforms is helping enterprises to get more value from their data than ever. These solutions now support and automate a large swath of structural activities, from data ingestion to storage, and also enhance business-focused operations such as advanced analytics, AI, machine learning, and continuous real-time intelligence.
Posted February 08, 2022
As business has become more digital, data has become the most valuable asset of many organizations. But protecting that data has also become much more complicated as organizations increasingly migrate it to a mix of public and private cloud infrastructures, such as Microsoft Azure, Amazon Web Services, and Google Cloud. With most businesses today operating in a multi-cloud environment, it's no longer possible to simply lock up precious data in the proverbial vault and guard the perimeter.
Posted February 08, 2022
As an industry, we've been talking about the promise of data lakes for more than a decade. It's a fantastic concept—to put an end to data silos with a single repository for big data analytics. Imagine having a singular place to house all your data for analytics to support product-led growth and business insight.
Posted February 08, 2022
Last year picked up where 2020 left off. Though pandemic restrictions have eased, 2022 looks to be another uncertain year with the rise of the omicron variant. As we begin 2022, DBTA presents the annual MultiValue Special Report and asks MV executives to address several questions.
Posted February 08, 2022