Big Data Quarterly Articles

Franz Inc., an early innovator in artificial intelligence (AI) and supplier of graph database technology for knowledge graph Solutions, is releasing Allegro NFS Server 7.0 for Windows with 64-bit performance and support for all current versions of the Windows operating system.

Posted February 17, 2021

The new release improves the balance between performance and cost and enhances an organization's ability to deploy and manage new services with benefits for all InsightEdge portfolio platforms.

Posted February 17, 2021

A new survey reveals that 87% of respondents lack the budget necessary to analyze their growing data stores despite the widespread recognition that a business' success today lies in being able to take the data it possesses and use it to make decisions.

Posted February 17, 2021

Software AG has entered into a collaboration agreement with Automation Anywhere to make scalable automation achievable for more businesses. Software AG's ARIS platform will bookend Automation Anywhere RPA with process mining and process management, helping to improve the discovery of automation opportunities and then management of automated processes.

Posted February 17, 2021

Radiant Advisors' John O'Brien explained modern data architecture at Data Summit Connect Fall 2020.

Posted February 16, 2021

DataOps is seen as a key approach for supporting insight-driven culture at organizations seeking to extract more value from their data. However, DataOps is still somewhat open to interpretation. DataKitchen's Chris Bergh talked to BDQ about how the DataOps methodology has evolved and how customers are using it now.

Posted February 08, 2021

While many companies are using IoT for reasons numbers one and two, few have embraced it for reason number three—disrupting with new business models. Despite top management stating that digital is important (20% of all top strategic initiatives in annual reports now include the word "digital")—and that IoT is one of the most disruptive and necessary technologies to shape their markets—in reality, they are mainly using it to manage costs by improving efficiencies and enhancing customer experience by augmenting existing products. This is severely limiting organizations' ability to gain new value.

Posted January 18, 2021

As Charles Darwin famously posited, it is not strength but rather the ability to adapt that is critical for survival. We see examples of this all around.

Posted January 18, 2021

For ethics to take root, sustainable governance practices must be infused into the fabric of an organization's AI ecosystem.

Posted January 18, 2021

The tectonic technology shifts we saw with the advent of Hadoop will not be seen again for quite a long time, but don't get too comfortable because the development of new tools and technologies to support the data science space isn't slowing down any time soon.

Posted January 18, 2021

The real value of cloud lies not just in its ability to reduce infrastructure costs, but in the opportunities it presents to rethink the business.

Posted December 14, 2020

Data miscommunication happens all the time between databases. Let's look at what you need to build machine learning models at scale, what the current options are, and why "feature stores" are becoming a new trend in this space.

Posted December 14, 2020

The primary role of database ‘custodian' continues to be the main emphasis of their jobs but increasingly, DBAs are expected to take on additional responsibilities.

Posted December 14, 2020

The cloud-tipping point for database technology had already occurred by the beginning of 2020, but what was a gradual migration to the cloud is now looking increasingly like a sprint.

Posted December 08, 2020

As applications continue to grow in scale and complexity, so does the challenge of supporting them. From geo-distribution, to high-volume transactions and the processing of new data sources and types, modern applications require speed, scalability and flexibility—whether in the ground or the cloud. DBTA recently held a roundtable webinar to educate IT decision-makers and practitioners about the new data management technologies and techniques for speed and scalability.

Posted November 13, 2020

While executives often express their desire to be data-driven in their decision making, a new study finds that the reality is that two-thirds of CEOs are still making decisions based on gut feel.

Posted November 13, 2020

Instana, a provider of APM and observability solutions for cloud-native and microservice applications, now offers the ability to monitor and trace applications using Google Cloud Run, Pub/Sub, and Storage technologies.

Posted November 12, 2020

What do prison guards, dental hygienists, and barbers have in common? They all have jobs that rely on physical proximity and carry a high risk of exposure to diseases, according to the U.S. Department of Labor.

Posted September 14, 2020

Never have charts and graphs been more prominent in the collective public consciousness. The increased focus on data-driven insights has, just as so much in life, been both positive and negative.

Posted September 14, 2020

No matter where you live in the world, your life has been impacted by the technology and innovation conceived of in Silicon Valley. The wealth that has been created has been enormous. A popular British newspaper once published an article suggesting that if Silicon Valley were a country, it would be among the richest on Earth.

Posted September 11, 2020

When talking about data science, most people feel as if they are in one of two camps as far as data size. The first is really small data—hundreds of megabytes to a few gigabytes. The second is gigabytes to terabytes. Notice I didn't say "big data," nor did I say "petabytes." The source datasets may start at petabyte-scale, but keep in mind that data is often very raw, and most of it is ignored.

Posted September 11, 2020

Big data has been around in one form or another for a long time, but lately, due to current events and intensified pressure, there has been greater attention focused on data-driven approaches to manage operations and understand customers. Recognizing that value has shifted to the digital realm, businesses have been looking to technologies that will take them to the next level.

Posted September 11, 2020

The COVID-19 crisis has presented some new hurdles—but they are ones that many innovative companies are actively working to overcome. Forward-looking companies aren't sitting the year out waiting for the business climate to improve. They are actively seeking ways to expand their reach and take advantage of new opportunities.

Posted September 10, 2020

It will take time for many organizations to resume "busi­ness as usual"—making it more important than ever for them to think fast, but strategically, about their digital transformation efforts and which tools and solutions will best help them succeed.

Posted September 10, 2020

Launched in June during the COVID-19 crisis, Ahana is a Presto-based analytics company founded by Steven Mih and Dipti Borkar, experts in open source and distributed data systems. Recently, Mih and Borkar discussed the analytics challenges data professionals are facing now and their involvement with the Presto Foundation.

Posted August 24, 2020

The annual Data Summit conference went digital earlier this year, becoming Data Summit Connect. The online event in June featured live presentations by executives from leading IT organizations who engaged attendees with compelling presentations and spirited discussions on a variety of topics including data analytics and privacy, knowledge graphs, and AI and machine learning. The following are key points distilled from the 3-day webinar series.

Posted August 11, 2020

Ensuring that applications are performing optimally has always been important. However, due to the COVID-19 pandemic, many organizations have sped up their cloud plans and are now relying on new tools to ensure that their cloud-based applications are performing with the right levels of availability, performance, and security. Bruno Kurtic, founding vice president of product management and strategy at Sumo Logic, recently discussed current trends in cloud workload management and how new tools can improve continuous cloud app observability.

Posted August 06, 2020

At Data Summit Connect 2020, Clay Jackson, senior database systems sales engineer, Quest Software Inc, discussed how hybrid cloud—combining public, community, and private cloud, and features of SaaS and IaaS—provides the best of both worlds for organizations migrating their data.

Posted July 24, 2020

At Data Summit Connect 2020, Lee Rainie, director, internet and technology research, Pew Research Center, projected the future of information sharing online and its social, cultural, and economic impact as foreseen by analysts and experts surveyed by Pew Research.

Posted July 20, 2020

At Data Summit Connect 2020 Bruno Kurtic, founding VP, strategy and solutions, Sumo Logic, explained how digital transformation and the drive to differentiate has made every company a software business.

Posted July 13, 2020

At Data Summit Connect 2020, Thomas Cook, director of sales, Cambridge Semantics, described the laborious process of manually discovering, sorting, cleaning, and conforming silo'd data that consumes the lion's share of data scientists' time, and how new approaches are improving the process.

Posted July 10, 2020

Today, with a quick screen tap on a personal handheld processor, people seeking a ride can open a cloud-based app and connect with a drivers who can pinpoint an exact pick-up location via GPS, arrange a dropoff, and make a payment without the need to physically exchange cash or card.  Who would have imagined this reality when just 40 years ago, before the internet was mainstream, the only computing interface was conducted on a green-screen "dumb terminal" limited to display and data entry? Nevertheless, this current moment is the reality for only a fleeting period of time before a new, transformative—and disruptive—technological era begins.

Posted June 30, 2020

CCPA took effect on Jan. 1, 2020, following the May 25, 2018, launch of the landmark global compliance regulation GDPR. When California begins enforcing CCPA on July 1, 2020, any for-profit entity doing business in California that collects, shares, or sells California consumers' personal data will be governed by CCPA.

Posted June 29, 2020

The CCPA deadline has come and gone. And, while the California attorney general won't enforce the act until July 1, just 5 months before its effective date, a recent survey revealed that only slightly more than one in 10 business owners and executives were aware of whether the law even applied to their business. Alarmingly, almost half had never heard of the regulation.

Posted June 26, 2020

In a world ruled by data, it is frightening to think how few people take protecting their information seriously. While it has become easy to share everything from an email address and mobile number to more sensitive personal information, what are the consequences of not safeguarding data?

Posted June 24, 2020

IT teams face an uphill battle in managing the deluge of apps that now populate enterprise networks. A big reason for this is that employees have access to a wide array of SaaS and cloud-delivered platforms—both business-critical tools and otherwise—that they can deploy in just a few clicks. This puts the onus on network teams to lay out specific policies about what kind of tools they'll allow on the network, as apps that could pose a threat to network performance are now increasingly common and easier than ever to deploy.

Posted June 23, 2020

Cybersecurity attacks have been increasing at an exponential rate. In 2018 alone, more than 2,000 data breaches were reported. The impact of these attacks has been calculated at more than $6 trillion. Given these statistics, the security of data lakes is of paramount importance. We all understand the value of a cloud data lake.

Posted June 22, 2020

The message on the business landscape is clear: Vulnerabilities are everywhere. They're in software, in hardware, in processes, and even in people. It only takes a small, unguarded threat vector for hackers to attack, invade, steal data, and wreck reputations.

Posted June 19, 2020

Dark data is a hot topic in the field of data management. Many perceive it as scary and aren't sure where to start in making it something of value. To back up, dark data is defined as data collected during business operations that otherwise goes unused. This unmanaged content is difficult to monitor, meaning it's hard to notice when information has been replicated, leaked, tampered with, lost, or stolen. It's easy to understand the ominous nature of the discussion around it.

Posted June 18, 2020

Alation, provider of data catalog software, is partnering with Databricks, provider of a unified analytics platform for data and AI, to help accelerate data science-led innovations. As data teams move to the cloud the new collaboration helps organizations to identify and prioritize mission-critical data for migration and diminish storage redundancies.

Posted June 17, 2020

According to Accenture's ninth annual Cost of Cybercrime study, the number of cyberattacks continues to rise and take more time to resolve. Organizations participating in the study saw an average of 145 attacks in 2018, up from 130 in 2017. The good news in the report was that prioritizing technologies to improve cybersecurity protection can reduce the consequences of attacks and "unlock future economic value as higher levels of trust encourage more business from customers."

Posted June 17, 2020

DBAs have always been central to how organizations manage, store, and use data. First, they were gatekeepers, limiting access to production environments and carefully shepherding database changes through to avoid the risk of data loss or system downtime.

Posted June 16, 2020

Data security is one of the most persistent issues facing federal, state, and local governments as well as commercial enterprises today, and often is one of the most alarming.

Posted June 15, 2020

Today, whether it is company leaders dealing with customer and business concerns or public health experts talking about the COVID-19 pandemic, what you hear again and again is that they are relying heavily on data. And, in this issue we look at the range of data management challenges and opportunities.

Posted May 28, 2020

Powering the next generation of renewable energy with IoT positively impacts running costs, while ensuring that wind power will continue to be both a viable economic solution for energy production for the future and a benefit to the environment.

Posted May 28, 2020

The pandemic is revealing gaps in our critical infrastructure security, supply chain fragility, and utilization of modern technologies to mitigate and recover communities globally. Although advanced technology platforms have been used by large international corporations, the pandemic is exposing the fact that emergency management and public health agencies are behind the curve or underutilizing data science, open source software, and high-performance computing resources.

Posted May 28, 2020

As companies have evolved toward digital business models and undertaken digital transformation initiatives, they have increasingly faced two challenges. First, the data they need to drive their real-time business processes is typically spread across multiple, siloed datastores. Second, their existing applications often cannot scale to address the increase in end-user demands for real-time engagement.

Posted May 28, 2020

A combination of factors is heightening the need for high-quality, well-governed data. These include the need for trustworthy data to support AI and machine learning initiatives, new data privacy and data management regulations, and the appreciation of good data as the fuel for better decision making.

Posted May 28, 2020

For several years, AI has been the enfant terrible of the business world, viewed as a technology full of unconventional and controversial behavior that has shocked, provoked, and enchanted audiences worldwide. That's all going to change. In 2020, AI will grow up, encountering new demands in the areas of responsibility, advocacy, and regulation

Posted May 28, 2020

Even the most ambitious data analytics initiatives tend to get buried by the 80/20 rule—with data analysts or scientists only able to devote 20% of their time to actual business analysis, while the rest is spent simply finding, cleansing, and organizing data. This is unsustainable, as the pressure to deliver insights in a rapid manner is increasing.

Posted May 21, 2020



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