New tools and technologies are becoming established in enterprises, helping organizations extract more value from data. Recently, industry experts weighed in on the trends that loom large in the future and those that appear to be waning.
Posted September 18, 2018
IT departments are under increasing pressure to keep up with the pace of business innovation. As data volumes rise, automation looms as a light at the end of the complex-process tunnel. The ability to leverage software, framework, and application tools to generate automated sequences based on various trigger events has become critical to the IT industry. But, it doesn't come without its challenges. When well-executed, IT automation can increase efficiency and productivity, reduce cost, and speed time to value. However, poorly crafted automated sequences and lack of integration between applications can make a lasting impact on application deployment and management, causing a ripple effect across the entire IT landscape.
Posted September 18, 2018
Today, organizations everywhere want to become data-driven—directed by business knowledge rather than intuition or experience from the past. But to reach that level of sophistication, they need someone at the helm who is capable of forming a strategy for data usage and governance. Enter the "chief data officer," or CDO. Recently, Big Data Quarterly spoke with Ramesh Nair, North America Financial Services leader at Accenture Applied Intelligence, about why more companies are putting executives in that role.
Posted September 17, 2018
Previous technology shifts, such as the introduction of enterprise resource planning software, tended to be inward-facing, involving little contact with the customer. Things are different this time around. The companies that are embracing today's digital transformation trend are focusing squarely on the customer—connecting customer-facing initiatives with business processes to stay ahead of the competition.
Posted September 17, 2018
Big Data 50 - Companies Driving Innovation in 2018
Posted September 13, 2018
Ensuring Optimal Database Performance in the New Cloud World
Posted September 06, 2018
Veritas Technologies, data protection leader, today unveiled Veritas NetBackup 8.1.2 with a new and improved user interface that, simplifying access for employees across an organization.
Posted August 22, 2018
Envorso, a provider of business transformation solutions, is entering a strategic partnership with Signafire Technologies, an industry-leading fusion and content analysis company. The partnership will allow Envorso to offer enterprise data fusion solutions.
Posted August 17, 2018
Today, data is understood to be the fuel that propels companies' growth and success. As a result, safeguarding that valuable resource is more important—but also harder—than ever.
Posted August 07, 2018
The way that many organizations approach the backup process has failed them, as evidenced by the hundreds of millions of dollars they have spent on ransomware to retrieve their data.
Posted August 02, 2018
For organizations dealing with critical infrastructure and systems, as well as governmental agencies and operators, there are several solutions that can help with IT network security.
Posted July 26, 2018
By automating the centralization process, organizations can ensure that data is up-to-date and accurate, improving their customer experience and paving the road for GDPR compliance.
Posted July 23, 2018
Better cybersecurity requires a mindset that looks beyond the technology itself and focuses on having the technology, processes, and people working together in tandem to ensure a secure infrastructure.
Posted July 18, 2018
Today, there is a resurgence in the power of data visualization—alongside a virtual gold rush of bigger, more diverse, and more dynamic data—is providing new tools and innovative techniques to help us transform raw data into compelling visual data narratives. Propelled by this newfound horsepower in data visualization, we are recreating the entire analytic process. We're also making it increasingly more visual—from how we explore data to discover new insights all the way to how we curate dashboards, storyboards, and interactive visualizations to share the fruits of our labor.
Posted July 16, 2018
With so many layers that may be vulnerable to attack, securing an ERP system involves much more than just one piece of cybersecurity software.
Posted July 16, 2018
Organizations need dynamic data mapping capabilities for a precise view of their data and to provide transparency around "the rights of the data subject," such as the rights to be forgotten, rights of accessibility, and rights of rectification.
Posted July 13, 2018
Organizations can significantly reduce threats with basic security hygiene and education for proper user habits since studies show that more than 90% of ransomware attacks start with employees interacting with email.
Posted July 13, 2018
The role of the CDO is growing—as are data-based threats to businesses.
Posted July 12, 2018
Blockchain has been one of the most loudly trumpeted new technologies on the enterprise database scene in recent history. However, the concept of a blockchain is not really a new notion. It is more of a repackaging of existing constructs to deliver a new set of benefits to any organization leveraging it for their use cases. It provides the benefit of irrevocable proof, and it reduces friction with information exchange.
Posted May 11, 2018
In the past few years, IoT has been greatly overhyped; hence, many IoT vendors had to convince the market of their pedigrees by touting use cases and customer success stories. In reality, IoT was only getting traction in very few markets—manufacturing being one—with the rest trailing behind.
Posted May 11, 2018
Silicon Valley has achieved an almost mythical status in both modern American popular culture as well as the annals of world economic history. Located south of San Francisco, the name "Silicon Valley" was coined in the early 1970s due to the volume of silicon chip innovators and manufacturers in the area. Today, the valley is synonymous with technology innovation and venture capital: two mighty forces of change.
Posted May 11, 2018
Across industry and academia, the past several years have seen a proverbial explosion of new business analytics education programs.If you're new to the analytics labor market—or looking to advance your credentials—academia has likewise undergone a period of massive innovation as educators work diligently to keep pace with market demands and produce a new breed of business analytics education. The change has been nothing short of astonishing
Posted May 11, 2018
Aside from data, "governance" is the most used term in data governance. Duh! It's in the name, right? But not only is it the most used, it is also the most misused and misinterpreted. The general perception of the term "governance" generates a widespread misunderstanding of the purpose of data governance. With excitement and fear rapidly growing around the use of data in businesses across all industries, data governance is becoming a hotter-than-hot topic! But, as with many corporate buzzwords, the more viral the term and concepts of data governance become, the more inappropriately used and abused they are.
Posted May 11, 2018
Although security is often related to privacy, they are not synonymous. Data security can be defined as the set of policies and techniques to ensure the confidentiality, availability, and integrity of data at all times. Data privacy refers to the fact that the parties accessing and using the data do so only in ways that comply with the agreed-upon purposes of data use in their roles. These purposes can be expressed as part of a company's policy, but are also subject to legislation. In this way, several aspects of security can be considered as necessary instruments to guarantee data privacy.
Posted May 11, 2018
Write this down: Converged transactional and analytical data platforms stand for digital business. None of us has been alive long enough to remember a time without the printing press, but such a time did once exist. The printing press revolutionized the world of books, journalism, scientific research, and countless other areas by automating a process that was once tedious and time consuming.
Posted May 11, 2018
Architecting the Modern Enterprise: 10 Key Technologies for a Strong Foundation
Posted May 11, 2018
As the old saying goes, the more things change, the more they stay the same. Many companies have been in a frenzy the past 2 years preparing for regulations that are either turning or about to turn the corporate world upside down. Financial services firms have been scrambling to deliver the transparency required by the second Markets in Financial Instruments Directive (MiFID II), while everyone else serving EU residents has been lining their ducks in a row to comply with the General Data Protection Regulation (GDPR).
Posted May 11, 2018
If blockchain could only be described in one word, that word would be "trust." It is an ideal mechanism to establish trust among multiple parties, demonstrated by its seminal use case as an abstraction for currency. The currency paradigm is instructive because it demonstrates the core concepts that could be leveraged in other use cases.
Posted May 11, 2018
Enterprise architects are making major waves. In fact, a recent KPMG study spotlighted enterprise architecture (EA) as today's most in-demand tech skill, as companies recognize EA's critical role in cutting both costs and complexities. But while enterprise architecture is one of the fastest-growing skillsets, it's also undergoing a major evolution. Where the role previously involved exhaustive plans consisting of excessive amounts of analysis, slow timelines, and rigid conceptual models, the agility and DevOps movement has forced old EA mentalities into obsolescence.
Posted May 11, 2018
The Next Wave of Big Data Technologies
Posted May 11, 2018
We're all familiar with the IT "war room" scenario. When there's an issue, members of the IT team come together to troubleshoot and find a solution. For organizations with important applications, such as SQL Server running in virtual infrastructures, these IT teams are no strangers to the IT war room environment. In this case, input from the SQL Server system administrators and DBAs isn't considered (or even requested) when the infrastructure team implements it virtualization plan.
Posted May 07, 2018
GDPR has gone into effect. Rex Ahlstrom, chief strategy and technology officer at BackOffice Associates, a provider of information governance and data stewardship solutions, discussed what's at stake.
Posted May 01, 2018
Recently, the revised Markets in Financial Instruments Directions (MiFID II) launched in the EU. The sweeping regulatory changes will impact transaction reporting on all financial instruments traded in Europe and affect all U.S. firms that do business with European counterparts or customers. Firms will face new requirements in tracking data—including emails, texts, and documents related to every transaction—and will need to be able to quickly reconstruct trades and search across data silos, presenting a significant challenge. Here, Ken Krupa, CTO at enterprise database company MarkLogic, discusses the impact to U.S. firms, and how new regulations underscore the importance of increasing transparency, consumer protection, and data integrity.
Posted April 30, 2018
DataStax is making enhancements to its DataStax Enterprise platform, making upgrades to deliver twice the responsiveness and the ability to handle twice the throughput on the same infrastructure. DataStax Enterprise (DSE) 6 allows customers to maintain hybrid cloud flexibility with all the benefits of a distributed cloud database on any public cloud or on-premises. DSE 6 includes all the advantages of Apache Cassandra and much more.
Posted April 18, 2018
As the volume and complexity around data grows, it has become more critical than ever for organizations to develop a deep knowledge of their business context and to understand and quantify the value of that data.
Posted April 18, 2018
The key to understanding AI's current and future impact is its transformation of business processes. A widespread misconception is that AI systems, including advanced robotics and digital bots, will gradually replace humans in one industry after another. Self-driving vehicles, for example, will one day replace taxi, delivery, and truck drivers. That may be true for certain jobs, but what we've found in our research is that, although AI can be deployed to automate certain functions, the technology's greater power is in complementing and augmenting human capabilities.
Posted April 13, 2018
Turning Data into Insights: Q&A with Snowflake Computing's Christian Kleinerman
Posted April 09, 2018
What Will It Take to Be a DBA in the Future?
Posted March 28, 2018
You are one of the few and the brave—you have not only established a successful data governance program, you have done so and lived to tell the tale. But, while your brow is still wet and your sleeves are rolled up, your program could be crumbling and you might not even see the warning signs.
Posted March 27, 2018
Data, data, data. With the exponential data growth that has occurred in the last 15 years, a need has arisen to sift through that data to find answers to questions.
Posted March 26, 2018
On any given day, organizations can collect hundreds of different pieces of data on every person they interact with. Managing and protecting this data, often referred to as personal data, is becoming mission-critical for organizations—particularly since enforcement of the European Union's General Data Protection Regulation (GDPR) begins on May 25, 2018.
Posted March 26, 2018
There is a data revolution happening across the globe. From academics to politics, and everywhere in between, the world's stories are being told through their datapoints. And, while using visualization to tell stories about data is by no means new, we are now telling them in more influential and impactful ways than ever before. Charts and graphs created 5 years ago in Excel are far different than the incredible visuals we are now producing with best-of-breed tools such as Tableau, or scripting with dynamic JavaScript libraries such as D3.js
Posted March 26, 2018
We live in a new world today, with unique challenges heretofore unseen in information technology. To remain at the expected technological apex, organizations should ask themselves these questions.
Posted March 26, 2018
Many organizations nowadays are struggling with the quality of their data. Data quality (DQ) problems can arise in various ways. Common causes of bad data quality include multiple data sources; limited computing resources: Lack of sufficient computing resources; changing data needs; and different processes using and updating the same data.
Posted March 26, 2018
In the IoT world, devices are moving from smart to intelligent due to the advent of artificial intelligence and machine learning. However, this is now hindered due to the natural limitations of the cloud. In order to progress, devices need lower latency, a higher level of independence, and better connectivity.
Posted March 26, 2018
The rise of DevOps, which promises to bring development and operations teams into alignment, is bringing database managers and administrators ever closer to the key touchpoints of their businesses. DevOps seeks to ensure the continuous delivery and consistent cadence of software releases and means that data professionals will have a key role to play in their organizations' information technology strategy. It's not happening a moment too soon—nimble, tech-savvy competitors have learned to leverage data as strategic business assets and are biting ever deeper into just about every existing market.
Posted March 22, 2018
Does this sound familiar? You have a backlog of apps that your workforce is craving, and you simply don't have the team (or the time) to build them. In fact, the demand for apps is growing five times faster than IT's capacity to deliver them. This crunch is probably all too familiar for many, and it's forcing IT teams to find new ways to accelerate app development. The age-old question is, do you build, do you buy, or do you do something in between?
Posted March 13, 2018
Big data can help drive decisions in almost every aspect of our lives—from the way financial products are underwritten, learning programs are designed, energy is used, healthcare diagnoses are made, insurance rates are assessed, commerce is conducted, and fraud is prevented—the list is infinite. As these decisions can affect individuals and society as a whole, it is compulsory that data experts apply integrity, transparency, and due diligence into the analytics that mine information and the algorithms that inform our decision making and problem solving.
Posted March 13, 2018
With data lakes being so new to organizations, an early failure can significantly set back the opportunity to fundamentally transform analytics. However, while the potential for big data innovation is significant, organizations are mired with slow, manual, and time-consuming processes for managing the tasks that turn raw big data into relevant business assets and insights. Without addressing these challenges in a systematic way, organizations find that data lake projects turn into labor-intensive, complex endeavors.
Posted March 08, 2018
Websites and the servers that host them are vulnerable to attack, and so too are the networks that are connected to them. Security holes in sites created by human error or application vulnerabilities are a source of trouble for the entire enterprise.
Posted March 08, 2018