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Internet of Things

The phenomenon of connected machines is sometimes called the Internet of Things, the Internet of Anything, the Internet of Everything, or M2M (machine to machine). But no matter what the name, the growth of technology related to objects, which never before were network- and computer-enabled, is projected to have far-reaching technological, societal, and economic impact.

The strongest examples of the impact of the Internet of Things are in the industrial sector. Embedded software, sensors, and network connectivity promises to improve the way factories, data centers, oil wells, and cities, airplanes, cars, and even homes are maintained because data can be collected continuously with alerts issues proactively to prevent failures and outages.

According to Cisco's Internet Business Solutions Group, 50 billion devices will be connected by 2020, up from 2010's 12.5 billion. By 2020, data production will be 44 times greater than it was in 2009, and by 2020, more than one-third of the data produced will live in or pass through the cloud, according to Computer Sciences Corp.



Internet of Things Articles

SnapLogic is unveiling new updates to its SnapLogic Elastic Integration Platform that add the ability to integrate streaming data and power big data analytics in the cloud. The Spring 2016 release adds support for Apache Kafka, Microsoft HDInsight, and Google Cloud Storage, plus multiple enhancements that automate data shaping and management tasks.

Posted May 18, 2016

AtScale, Inc., which provides a self-service BI platform for Hadoop, has raised a Series B round of $11 million, bringing its total funding to date to $20 million. According to Bruno Aziza, chief marketing officer of AtScale, its platform is different from others in three key ways, making it applicable to use cases in an array of industries including healthcare, telecommunications, retail, and financial services.

Posted May 17, 2016

The world's data has doubled in 18 months' time. The industry estimates that the global amount of storage will reach 40 ZB by 2020. Historically, storage architectures were built on solutions that could only scale vertically. This legacy approach to storage presents significant challenges to being able to store the tremendous quantities of data being created today in a way that is cost-effective and maintains high levels of performance. Today, most of the world's data centers are still using vertical scaling solutions for storage, which means that organizations are seeking alternatives that allow them to scale cheaply and efficiently in order to remain competitive. And now, with software defined storage moving forward, we see the use of more scale-out storage solutions in data centers.

Posted May 04, 2016

Dell is releasing an upgraded version of its Statistica advanced analytics platform, providing tools to address Internet of Things (IoT) analytics requirements and leverage heterogeneous data environments.

Posted May 04, 2016

Qubole is announcing two major changes. It is releasing an open sourced version of its StreamX tool and forming a partnership with Looker.

Posted May 02, 2016

Accenture and Splunk have formed an alliance that integrates Splunk products and cloud services into Accenture's application services, security, and digital offerings. The goal is to help customers improve business outcomes by mining vast amounts of application and operational data to identify trends and opportunities for improvement that were previously difficult to detect.

Posted April 28, 2016

Cisco is launching an appliance that includes the MapR Converged Data Platform for SAP HANA, making it easier and faster for users to take advantage of big data. The UCS Integrated Infrastructure for SAP HANA is made easy to deploy, speeds time to market, and will reduce operational expenses along with providing users with the flexibility to choose a scale-up (on-premises) or scale-out (cloud) storage strategy.

Posted April 27, 2016

Neo Technology, creator of Neo4j, is releasing an improved version of its signature platform, enhancing its scalability, introducing new language drivers and a host of other developer friendly features.

Posted April 26, 2016

The COLLABORATE 16 conference for Oracle users kicked off with a presentation by Unisphere Research analyst Joe McKendrick who shared insights from a ground-breaking study that examined future trends and technology among 690 members of three major Oracle users groups.

Posted April 25, 2016

The greatest power in using IoT-derived insights is the ability respond to opportunities or threats immediately. However, enterprises largely have focused on historical reporting and will need to significantly modernize their analytics capabilities—both in understanding current events and predicting future outcomes—to take advantage of the new insights that IoT data can bring.

Posted April 25, 2016

The need for data integration has never been more intense than it has been recently. The Internet of Things and its muscular sibling, the Industrial Internet of Things, are now being embraced as a way to better understand the status and working order of products, services, partners, and customers. Mobile technology is ubiquitous, pouring in a treasure trove of geolocation and usage data. Analytics has become the only way to compete, and with it comes a need for terabytes—and gigabytes—worth of data. The organization of 2016, in essence, has become a data machine, with an insatiable appetite for all the data that can be ingested.

Posted April 25, 2016

Sumo Logic, a provider of cloud-native, machine data analytics services, is unveiling a new platform that natively ingests, indexes, and analyzes structured metrics data, and unstructured log data together in real-time.

Posted April 18, 2016

Teradata, the big data analytics and marketing applications company, is making key investments in the Internet of Things (IoT) and the Analytics of Things (AoT), along with updating its signature platforms.

Posted April 18, 2016

Hortonworks is making several key updates to its platform along with furthering its mission as being a leading innovator of open and connected data solutions by enhancing partnerships with Pivotal and expanding upon established integrations with Syncsort.

Posted April 15, 2016

First created as part of a research project at UC Berkeley AMPLab, Spark is an open source project in the big data space, built for sophisticated analytics, speed, and ease of use. It unifies critical data analytics capabilities such as SQL, advanced analytics, and streaming in a single framework. Databricks is a company that was founded by the team that created and continues to lead both the development and training around Apache Spark.

Posted April 14, 2016

Qubole, a big data-as-a-service company, is open sourcing its Quark platform, a cost-based SQL optimizer. The Quark project is also available in a SaaS implementation via the Qubole Data Service (QDS).

Posted April 07, 2016

Sisense has announced improvements in its In-Chip Analytics software to help business users and data analysts more easily gain insights from complex data with disparate datasets. According to the vendor, when tested with Intel's recently-released 6th Generation Intel Core vPro processor, it was able to deliver a 300% improvement in speed over older chips.

Posted April 05, 2016

PASS (the Professional Association for SQL Server) is planning its fourth conference focused on business analytics.

Posted April 04, 2016

The emergence of big data, characterized in terms of its four V's—volume, variety, velocity, and veracity—has created both opportunities and challenges for credit scoring.

Posted April 04, 2016

Databricks, the company behind Apache Spark, is releasing a new set of APIs that will enable enterprises to automate their Spark infrastructure to accelerate the deployment of production data-driven applications.

Posted April 01, 2016

It's become almost a standard career path in Silicon Valley: A talented engineer creates a valuable open source software commodity inside of a larger organization, then leaves that company to create a new startup to commercialize the open source product. Indeed, this is virtually the plot line for the hilarious HBO comedy series, Silicon Valley. Jay Krepes, a well-known engineer at LinkedIn and creator of the NoSQL database system, Voldemort, has such a story.

Posted March 31, 2016

Over the past 2 years, there have been big announcements from all of the major car manufacturers about their connected car initiatives, lots of M&A activity in the technology industry as they race to supply the revolution, and major global alliances of telecom providers being formed to provide the underlying connectivity and infrastructure. But, most of all, we are actually starting to see some of the promised transformational benefits of the Internet of Things becoming a reality.

Posted March 31, 2016

Denodo, a provider of data virtualization software, is releasing Denodo Platform 6.0, further accelerating its "fast data" strategy. "It's a major release for us," said Ravi Shankar, Denodo CMO. There are three important areas that nobody else is focusing on in the industry, he noted. "This, we hope, will change how data virtualization, and in a broader sense, data integration will shape up this year."

Posted March 31, 2016

Reltio is releasing an enhanced version of Reltio Cloud 2016.1, adding new analytics integration, collaboration, and recommendation capabilities to help companies be right faster.

Posted March 29, 2016

Teradata has introduced a new "design pattern" approach for data lake deployment. The company says its concept of a data lake pattern leverages IP from its client engagements, as well as services and technology to help organizations more quickly and securely get to successful data lake deployment.

Posted March 28, 2016

The digital economy promises to redefine nearly every aspect of a company's operations—from raw material procurement through post-sale services. Yet, some of the most dramatic changes will be seen in how companies evolve their product portfolios and leverage digital capabilities.

Posted March 25, 2016

The emerging Internet of Things (IoT) represents a huge opportunity for today's enterprises but also poses risks. Many organizations are challenged to open up their systems to ever-growing networks of devices, sensors, and systems that are relentlessly spewing data that may or may not be of value. But questions about security and systems performance swirl around as well.

Posted March 25, 2016

The rise of big data technologies in enterprise IT is now seen as an inevitability, but adoption has occurred at a slower pace than expected, according to Joe Caserta, president and CEO of Caserta Concepts, a firm focused on big data strategy consulting and technology implementation. Caserta recently discussed the trends in big data projects, the technologies that offer key advantages now, and why he thinks big data is reaching a turning point.

Posted March 23, 2016

SAP SE is releasing an Internet of Things (IoT) foundation bundle for SAP HANA, partnering with Vodafone to provide device connectivity management. The goal of this collaboration is to allow enterprises to connect and manage devices using Vodafone's IoT connectivity platform and to collect and move data from the devices into the SAP HANA platform to support predictive maintenance as well as other use cases.

Posted March 23, 2016

SAP SE's newest in memory query engine, SAP HANA Vora, is now generally available, equipping enterprises with contextual analytics across all data stored in Hadoop, enterprise systems, and other distributed data sources.

Posted March 23, 2016

As more businesses leverage applications that are hosted in the cloud, the lines between corporate networks and the internet become blurred. Accordingly, enterprises need to develop an effective strategy for ensuring security. The problem is, many of today's most common approaches simply don't work in this new cloud-based environment.

Posted March 23, 2016

The Independent Oracle Users Group (IOUG) has represented the voice of Oracle technologists and professionals for more than 20 years, and we are so proud of how our community has not just grown but maintained its adaptive approach that centers on peer-to-peer education and know-how. We hope that you share our sense of pride as we celebrate the technology community's marquee event: COLLABORATE 16-IOUG Forum.

Posted March 23, 2016

The OAUG volunteers planning COLLABORATE 16: Technology and Applications Forum for the Oracle Community (April 10-14 at Mandalay Bay in Las Vegas) are themselves Oracle users and technologists, understanding innately the myriad options and challenges faced by the wider user community in a period of rapid change and transformation. With participation and contributions from all corners of the user community, COLLABORATE offers the information and perspective to make sense of it all.

Posted March 21, 2016

Oracle has released a free and open API and developer kit for its Data Analytics Accelerator (DAX) in SPARC processors through its Software in Silicon Developer Program. "Through our Software in Silicon Developer Program, developers can now apply our DAX technology to a broad spectrum of previously unsolvable challenges in the analytics space because we have integrated data analytics acceleration into processors, enabling unprecedented data scan rates of up to 170 billion rows per second," said John Fowler, executive vice president of Systems, Oracle.

Posted March 16, 2016

Attivio is receiving $31 million in investment financing that will help expand the company as it accelerates its offerings into the big data market.

Posted March 09, 2016

IDERA, a provider of database lifecycle management solutions, is extending its product portfolio by adding Embarcadero Technologies' ER/Studio and DB PowerStudio tools, allowing organizations to rely on a single vendor for all their database lifecycle needs.

Posted March 09, 2016

In a new book titled "Next Generation Databases," Guy Harrison, an executive director of R&D at Dell, shares what every data professional needs to know about the future of databases in a world of NoSQL and big data.

Posted March 08, 2016

Splunk Inc. is enhancing its security analytics portfolio by combining machine learning, anomaly detection, context-enhanced correlation, and rapid investigation capabilities in new versions of Splunk User Behavior Analytics (UBA) and Splunk Enterprise Security(ES).

Posted March 08, 2016

The world of IT operations has always had a big data problem. Instrumentation of end users, servers, application components, logs, clickstreams, generated events and incidents, executed notifications and runbooks, CMDBs, Gantt charts—you name it, people in the IT operations area have had to cope with mountains of data. And yet the scope of the problem has been enlarged once again, thanks to industry-wide trends such as bring-your-own-device, the Internet of Things, microservices, cloud-native applications, and social/mobile interaction.

Posted March 03, 2016

ForeScout Technologies Inc., a provider of agentless cybersecurity, is partnering with FireEye, Inc. to give users the intelligence and expertise to detect cyber threats efficiently. By combining ForeScout and FireEye endpoint security capabilities, customers can isolate endpoints that have a high probability of being compromised and initiate defensive responses.

Posted March 01, 2016

Certified Security Solutions (CSS) Inc., a provider of secure digital identity and access solutions, will partner with SAP to provide a platform for the Internet of Things.

Posted February 24, 2016

It is hard to think of a technology that is more identified with the rise of big data than Hadoop. Since its creation, the framework for distributed processing of massive datasets on commodity hardware has had a transformative effect on the way data is collected, managed, and analyzed - and also grown well beyond its initial scope through a related ecosystem of open source projects. With 2016 recognized as the 10-year anniversary for Hadoop, Big Data Quarterly chose this time to ask technologists, consultants, and researchers to reflect on what has been achieved in the last decade, and what's ahead on the horizon.

Posted February 18, 2016

Glassbeam, a machine data analytics company, has introduced two product enhancements for the IoT analytics market. The new capabilities are aimed at automating the transformation of unstructured machine data into business insights and also providing a lighter footprint for Glassbeam at the edge.

Posted February 16, 2016

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