Graph databases are increasingly popular. In fact, according to DB-Engines graphs are the fastest growing of any database category since 2013. This growth is fueled in part because many organizations are realizing the value of understanding connections in their data. For companies looking to use a graph database to build behavior and decision-making applications based on real-time evaluation of connected data, there are several key attributes, including integrity, performance, efficiency and scalability.
Posted March 07, 2018
The Changing Role of the Modern DBA: Cloud, NoSQL, and Automation
Posted March 05, 2018
Private equity firm Parallax Capital Partners acquired erwin Data Modeler software from CA Technologies in April 2016. Since then, operating as erwin, Inc. and led by IT industry veteran Adam Famularo, the company has rebranded itself as "the data governance company," launched new products, and made a number of strategic acquisitions—including most recently Rome-based A&P Consulting. Famularo spoke with BDQ about the changes at erwin over the past 2 years and shared his views on where the IT market overall is headed.
Posted February 28, 2018
Good News: Your Database is About to be Autonomous!
Posted February 21, 2018
Qubole, the cloud big data-as-a-service company, is teaming up with Snowflake Computing, a data warehouse built for the cloud, enabling organizations to use Apache Spark in Qubole with data stored in Snowflake. With the new integration between cloud services, data teams are able to build, train, and put in production machine learning (ML) and artificial intelligence (AI) models in Spark using information stored in Snowflake.
Posted February 14, 2018
CloudJumper, provider of a workspace as a service platform for agile business IT, has acquired privately held IndependenceIT (IIT), a provider of WaaS enablement software for automating the deployment of applications, data, and complete workspaces in the cloud.
Posted February 13, 2018
The Changing Role of the Modern DBA in a Big Data World
Posted February 05, 2018
MongoDB 3.6 is now Generally Available (GA), and ready for production deployment. In this short blog series, I'll be taking you on a whirlwind tour of what's new in this latest release:
Posted January 31, 2018
The Changing Role of the Modern DBA - New Skills for Security
Posted January 22, 2018
Cybersecurity and terms written about it, such as "ransomware," "malware," and "hacker" have become part of our regular vocabulary. Concerns about protecting our identities and personal data are on the rise in our day-to-day lives. With the onslaught of news reports about data breaches and various hacks, the awareness is more elevated now than it has been in the past few years.
Posted January 11, 2018
Emerging technologies are outpacing data governance at a rapid clip. Specifically, the rate of growth and development of emerging technologies in areas such as artificial intelligence (AI), the Internet of Things (IoT), and machine learning (ML) drastically exceeds the current speed and willingness of businesses to change their governance models to manage and protect their data and information assets. Unfortunately, the larger the delta becomes between the advancements in technology and the changes in governance, the greater the risks and losses for the business.
Posted January 09, 2018
As the use of cloud expands as a database platform and automated capabilities increase, there are new opportunities for DBAs to move beyond operations and emergency fire-fighting and instead get involved in more innovative, high-level tasks that bring additional value to their organizations. Experts weigh in on what's ahead.
Posted January 08, 2018
A lot has been written about why IoT is going to be absolutely essential to your company. If you are convinced as to the why but wonder about the how, pay attention. Based on all the lessons learned from my engagements around the globe, I am going to tell you how. It basically comes down to three basic phases: preparation, the "real stuff," and embedding it in the organization.
Posted January 08, 2018
In a world where new technologies are often presented to the industry as rainbows and unicorns, there is always someone in a cubicle trying to figure out how to solve business problems and just make these great new technologies work together. The truth is that all of these technologies take time to learn, and it also takes time to identify the problems that can be solved by each of them.
Posted January 05, 2018
As Paul Graham, founder of Y-Combinator, has put it: "Hacking and painting have a lot in common … [hackers and painters] they're both makers." And as modern-day artists, developers will help create the future of cognitive computing and AI. New technology has granted them more paints and more materials with which to paint and sculpt. It will allow them to create works of art never previously envisioned, that are powered by big datasets and cognitive systems. But they can't go it alone. Even da Vinci had his patrons. That leads to the next logical questions. How should organizations support their developers right now? And where should they place resources to ensure their developers reap the greatest benefits from cognitive technologies?
Posted January 04, 2018
The suddenness of the non-relational "breakout" created a lot of noise and confusion and—at least initially—an explosion of new database systems. However, the database landscape is settling down, and in the past few years, the biggest meta trend in database management has been a reduction in the number of leading vendors and consolidation of core technologies. Additionally, we're starting to see database as a service (DBaaS) offerings become increasingly credible alternatives to on-premise or do-it-yourself cloud database configuration.
Posted January 03, 2018
A New Age: AI and Machine Learning Meet the Cloud
Posted January 03, 2018
GDPR Crosses the Pond
Posted January 02, 2018
With cyberattacks on the rise and the EU's new General Data Protection Regulation (GDPR) going into effect in 2018, there is a greater focus on data security and governance. Here six top IT leaders reflect on the changes taking place and offer their predictions for data security and compliance in 2018.
Posted December 13, 2017
Using Web Scraping as a Data Science Tool
Posted December 04, 2017
Databricks, provider of a Unified Analytics Platform and founded by the team who created Apache Spark, has become a partner with Microsoft to expand the reach of its Unified Analytics Platform and address customer demand for Spark on Microsoft Azure.
Posted November 29, 2017
Getting Ready for GDPR
Posted November 28, 2017
Cyberattack—How to Prepare and What to Do If It Happens
Posted November 28, 2017
Moving Beyond Relational With Data Integration
Posted November 28, 2017
No longer the stuff of science fiction, the business uses for cognitive computing, artificial intelligence, and machine learning today include fields as diverse as medicine, marketing, defense, energy, and agriculture. Enabling these applications is the vast amount of data that companies are collecting from machine sensors, instruments, and websites and the ability to support smarter solutions with faster data processing.
Posted November 13, 2017
AtScale is releasing a universal semantic platform for business intelligence (BI) with Microsoft Azure HDInsight, providing enterprises with faster time to insight. AtScale's new offer helps enhance Azure HDInsight customers' ability to quickly turn their Big Data lake into a highly available and performant analytical database.
Posted November 02, 2017
There's a surprising trick for greatly increasing the chances of real impact, true success with many types of machine learning systems, and that is "do the logistics correctly and efficiently." That sounds like simple advice - it is - but the impact can be enormous. If the logistics are not handled well, machine learning projects generally fail to deliver practical value. In fact, they may fail to deliver at all. But carrying out this advice may not seem simple at all.
Posted October 26, 2017
After years of ambiguous expectations about data governance, organizations now have a better handle on how these programs can help them manage the exponential growth of the data they generate. More importantly, there is an understanding about how the integration, organization, and alignment of that data can help meet or exceed business and technology goals.
Posted October 18, 2017
As companies grow increasingly data-centric in their decision making, product and services development, and their overall understanding of the world they work in, speed and agility are becoming critical capabilities. A common theme in big data and analytics today is "Industry 4.0," representing a new wave of technology that enables the automation necessary for scaling. There's compelling justification for this as companies seek to unlock business value from big data with two broad approaches: the democratization of data with greater access by more users, and the enablement of automation everywhere possible.
Posted September 20, 2017
Big Data and Analytics Becomes Smarter and More Connected
Posted September 20, 2017
Over the last few years, organizations have shifted from using virtual data centers to creating private or hybrid IaaS clouds that allow authorized users to perform self-service provisioning of virtual machines. These environments have reduced administrative workloads, improved the user experience, and discouraged shadow IT, but they have also brought their own challenges. As virtualized environments increase in scale, management techniques have often become far less effective, making it difficult to keep track of virtual machines, their owners, and why the virtual machines were created in the first place.
Posted September 20, 2017
Companies today are spreading their applications across multiple clouds in a hybrid fashion. According to a recent IDC CloudView study among 6,000 IT and line-of-business executives whose organizations have adopted cloud technologies, 73% are implementing a hybrid strategy, which most defined as utilizing more than one public cloud in addition to dedicated assets.
Posted September 20, 2017
Many people are unsure of the differences between deep learning, machine learning, and artificial intelligence. Generally speaking, and with minimal debate, it is reasonably well-accepted that artificial intelligence can most easily be categorized as that which we have not yet figured out how to solve, while machine learning is a practical application with the know-how to solve problems, such as with anomaly detectio
Posted September 20, 2017
When it comes to visualizing data, there is no shortage of charts and graphs to choose from. From traditional graphs to innovative hand-coded visualizations, there is a continuum of visualizations ready to translate data from numbers into meaning using shapes, colors, and other visual cues. However, each visualization type is intended to show different types of data in specific ways to best represent its insight. Let's look at five of the most common visualization types to help you choose the right chart for your da
Posted September 20, 2017
Businesses of all sizes across all industries are rapidly adopting digital transformation models that put data at the center of driving the business forward—as they should. However, putting data at the center of everything the business does can be risky without proper planning and rigorous management. Many companies have been wise to introduce data governance programs to protect corporate data assets and establish a framework for operational excellence when it comes to data management and use. Data governance emphasizes the enforcement of defined standards or policies and provides mechanisms for consistency and repeatable processes, but it is not enough to protect businesses in today's world of data.
Posted September 20, 2017
Nowadays, many firms are already using big data and analytics to manage and optimize their customer relationships. Both technologies can also prove beneficial to leverage a firm's other key assets: its employees! Various HR analytics (also called workforce analytics) examples can be thought of.
Posted September 20, 2017
While Vic Damone and Jane Powell wanted their eggs with a kiss in the 1950s musical Rich, Young and Pretty, in the near future, your kitchen might well know exactly how you want them thanks to the Internet of Things (IoT).
Posted September 20, 2017
Tic toc, tic toc—back and forth swings the privacy pendulum. While we in the U.S. continue to regress on issues of data privacy, the European Union (EU) is proceeding with bold steps to protect the privacy of its citizens. On May 25, 2018, the General Data Protection Regulation (GDPR) becomes the law of the land in the EU. It applies to any company that processes or holds data on EU residents, regardless of where it is located in the world. Popular applications such as Facebook, Twitter, and Airbnb are among the companies that will be directly impacted by this law. If you do business with EU residents, regardless of geographic locality, this law directly applies to you.
Posted September 20, 2017
Qubole Data Service provides a single platform for ETL, reporting, ad hoc analysis, stream processing and machine learning. It runs on AWS, Microsoft Azure and Oracle Bare Metal Cloud, taking advantage of the elasticity and scale of the cloud, and also supports leading open source engines, including Apache Spark, Hadoop, Presto, and Hive.
Posted September 12, 2017
Columnar Data, Analytics, and the Evolving Role of Hardware
Posted September 12, 2017
New multi-cloud capabilities scale discovery and dependency mapping of all assets to go beyond on-prem data centers to public and private cloud.
Posted September 12, 2017
As organizations increasingly move their data and applications from on-premise deployments to the cloud, the role of the DBA is also shifting. According to Penny Avril, vice president of product management, Oracle Database, the transition means that DBAs have the opportunity to move from being data custodians and keepers to taking on a more strategic role in their organizations. But, she says,the time to prepare for the new cloud reality is now.
Posted September 07, 2017
Big Data 50 - Companies Driving Innovation in 2017
Posted September 07, 2017
InfluxData provides an open source platform built for metrics, events, and other time-based data. Recently, Evan Kaplan, CEO of InfluxData, reflected on the future of databases and why time-series represents the next wave of databases for data—from humans, sensors, and machines.
Posted August 30, 2017
8 Rules of the Road for Fast Data Management and Analytics
Posted August 16, 2017
Barracuda Networks, a provider of cloud-enabled security and data protection solutions, has added the ability to replicate data from either an on-premises physical or virtual backup appliance to AWS. The new feature provides customers, resellers, and MSPs with greater flexibility and choice to protect their data from data loss and potential disasters, including security threats like ransomware. This adds an additional option for customers, in addition to the ability to replicate to the Barracuda Cloud.
Posted August 15, 2017
How to Solve Big Data Integration Challenges
Posted August 08, 2017
Dremio has announced its launch in the data analytics market with the availability of the Dremio Self-Service Data Platform. According to Dremio, its platform allows users to be independent and self-directed in their use of data, while accessing data from a variety of sources at scale.
Posted July 19, 2017
Pricchaa has released a free solution for detecting, encrypting, and monitoring sensitive data housed in the Amazon Web Services (AWS) Cloud.
Posted July 13, 2017
Tips and Tricks for Migrating to NoSQL
Posted June 15, 2017