real time data

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Published By: Oracle     Published Date: Jul 09, 2015
Omni-channel operations and empowered consumers raise the value of advanced inventory management solutions.
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Oracle
    
Ciena
Published By: Datastax     Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
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evolution, big data, technology, datastax, nosql
    
Datastax
Published By: Datastax     Published Date: Apr 04, 2017
Enterprises today continue to differentiate themselves with cloud applications – any application that needs to be always-on, distributed, scalable, real-time, and contextual. With DataStax Enterprise, DataStax delivers comprehensive data management with a unique always-on architecture that accelerates the ability of enterprises, government agencies, and systems integrators to power the exploding number of cloud applications. DataStax Enterprise (DSE) powers these cloud applications that require data distribution across data centers and clouds, by using a secure, operationally simple platform. At its core, DSE offers the industry’s best distribution of Apache Cassandra™. This paper provides a summary of the features and functionality of DataStax Enterprise that make it the best choice for companies that are looking to leverage the promise of Apache Cassandra™ for production environments.
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distribution, apache cassandra, cloud, datastax
    
Datastax
Published By: Datastax     Published Date: Apr 04, 2017
Graph databases are changing how we use data. But first, an example – you're (probably) a human working on a project and looking at graph databases as a potential solution. While we're a company that has a graph database that hopefully solves your problem. Now we could store that data in a boring relational database, but how do we do more than that? For instance, using that data, when combined with other data points, to find other people like you and recommend our solution to them? This is where a graph can come in handy. The friendly graph data model makes it easy to use patterns of relationships within large data sets. By leveraging those relationships we can analyze, or create better real-time experiences. Why Graph explores why this graph database 'thing' is really a thing, how they compare to other database systems, and the use cases they best support.
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graph, database, datastax
    
Datastax
Published By: Datastax     Published Date: Apr 04, 2017
For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution.
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database, cloud, applications, endpoint, datastax
    
Datastax
Published By: Datastax     Published Date: Aug 03, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Datastax     Published Date: Aug 07, 2018
The public sector has invested in big time in big data. But there’s one thing most public sector entities are dropping the ball on: real-time data, and how it can be combined with big data to increase citizen safety and make mission-critical digital transformation projects happen on-time and on budget. Read this white paper to learn why public sector entities need both big data and real-time data if they are going to deliver on their digital transformation promises.
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Datastax
Published By: Zebra Technologies     Published Date: Jun 15, 2017
Zebra’s broad range of enterprise-level, healthcare-designed, end-to-end solutions provides a wealth of benefits throughout a healthcare facility, enabling clinicians, staff and administrators to sense, analyze and act in real time. Identity solutions can help improve accuracy and enhance patient safety, deliver greater operational efficiency and caregiver confidence, and improve the patient experience. Mobility solutions help improve staff communication and collaboration with enterprise effectiveness and workflow efficiency. Intelligence solutions offer greater visibility to data on patients, staff, assets and the facility overall for better decision making.
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overview, brochure, zebra, enterprise, healthcare, solutions, mobility
    
Zebra Technologies
Published By: Kronos     Published Date: Jul 26, 2017
When it comes to time, there never seems to be enough. Just ask any payroll professional. Time constraints are nothing new, but what is new is how payroll professionals are tackling the challenge. They are discovering how to strategically leverage today’s best-of-breed human capital management (HCM) technology to better manage the expectations and demands placed on today’s payroll teams to achieve greater business results. By investing in an HCM solution as an integral part of their workforce management strategy, businesses can align and create efficiencies within three core areas of payroll — compliance, processes, and data visibility. This will free up time for an already over-burdened payroll team that can add value, deliver on actionable real-time data, and execute on company-driven projects that can impact organizational goals and improve bottom-line results.
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payroll, human capital management, workforce management, compliance, processes, data visibility
    
Kronos
Published By: MemSQL     Published Date: Nov 15, 2017
FREE O'REILLY EBOOK: BUILDING REAL-TIME DATA PIPELINES Unifying Applications and Analytics with In-Memory Architectures You'll Learn: - How to use Apache Kafka and Spark to build real-time data pipelines - How to use in-memory database management systems for real-time analytics - Top architectures for transitioning from data silos to real-time processing - Steps for getting to real-time operational systems - Considerations for choosing the best deployment option
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hardware trends, data pipelines, database management, architectures, technology
    
MemSQL
Published By: MemSQL     Published Date: Nov 15, 2017
THE LAMBDA ARCHITECTURE SIMPLIFIED Your Guide to Building a Scalable Data Architecture for Real-Time Workloads YOU'LL LEARN: - What defines the Lambda Architecture, broken down by each layer - How to simplify the Lambda Architecture by consolidating the speed layer and batch layer into one system - How to implement a scalable Lambda Architecture that accommodates streaming and immutable data - How companies like Comcast and Tapjoy use Lambda Architectures in production
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data, scalable, architecture, production
    
MemSQL
Published By: MemSQL     Published Date: Nov 15, 2017
Pairing Apache Kafka with a Real-Time Database Learn how to: ? Scope data pipelines all the way from ingest to applications and analytics ? Build data pipelines using a new SQL command: CREATE PIPELINE ? Achieve exactly-once semantics with native pipelines ? Overcome top challenges of real-time data management
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digital transformation, applications, data, pipelines, management
    
MemSQL
Published By: Cloudian     Published Date: Feb 15, 2018
We are living in an age of explosive data growth. IDC projects that the digital universe is growing 50% a year, doubling in size every 2 years. In media and entertainment, the growth is even faster as capacity-intensive formats such as 4K, 8K, and 360/VR gain traction. Fortunately, new trends in data storage are making it easier to stay ahead of the curve. In this paper, we will examine how object storage stacks up against LTO tape for media archives and backup. In addition to a detailed total cost of ownership (TCO) analysis covering both capital and operational expenses, this paper will look at the opportunity costs of not leveraging the real-time data access of object storage to monetize existing data. Finally, we will demonstrate the validity of the analysis with a real-world case study of a longstanding network TV show that made the switch from tape to object storage. The limitations of tape storage go way beyond its lack of scalability. Data that isn’t searchable is becoming
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Cloudian
Published By: SRC,LLC     Published Date: Jun 01, 2009
Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.
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src, enterprise, streamline, analytics, economy, analytic imperative, business intelligence, seamless, data warehouse, interoperability, analytic environment, data assets, report generation, output options, total cost of ownership, tco, roi, return on investment, olap
    
SRC,LLC
Published By: Skillsoft     Published Date: Jun 23, 2016
In the latest developments in technology for HCM, Nucleus sees an inexorable march to upend conventional approaches to on-the-job learning. Training scheduled around static variables such as regulatory policy or company initiatives, for instance, is one-dimensional. This type of learning will persist. The emergence of prescriptive analytics made possible by real-time data models, however, makes trigger-based, in-the-moment learning possible (Nucleus Research p199 – The coming mass extinction in HCM, November 2015). Further supporting this are social media–style user interfaces (UIs), which promote continual collaboration. It’s learning that happens whenever an employee needs it, not when the organization or law decrees it. Data across HCM prompts these triggers.
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best practices, business optimization, business management, organization, talent management, technology, human resources
    
Skillsoft
Published By: Intralinks     Published Date: Oct 03, 2013
As the business case for Software-as-a-Service (Saas) and other cloud computing models solidifies, more companies are incorporating cloud computing into their IT programs. However, the legal, regulatory, and ethical requirements of data security must be adhered to regardless of where the information is housed. The best SaaS providers offer strong authentication systems, user activity auditing tools, and real time usage reporting to maintain the highest level of control over sensitive and confidential data. In this 11-page white paper, Intralinks provides tips and questions to ask prospective providers about their security standards and practices, software reliability and uptime, and the availability of reporting and audit trails.
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intellectual property, sensitive information, privacy, inter-enterprise collaboration, secure documents, security
    
Intralinks
Published By: SumTotal, a Skillsoft Company     Published Date: Aug 24, 2015
Download the complimentary guidebook and learn how your organization can achieve this kind of return through optimized scheduling, ensured compliance, improved productivity and real-time data analysis.
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sumtotal, workforce management, optimization, scheduling, compliance, productivity, data analysis, roi, human resources
    
SumTotal, a Skillsoft Company
Published By: SumTotal, a Skillsoft Company     Published Date: Jun 24, 2016
In the latest developments in technology for HCM, Nucleus sees an inexorable march to upend conventional approaches to on-the-job learning. Training scheduled around static variables such as regulatory policy or company initiatives, for instance, is one-dimensional. This type of learning will persist. The emergence of prescriptive analytics made possible by real-time data models, however, makes trigger-based, in-the-moment learning possible (Nucleus Research p199 – The coming mass extinction in HCM, November 2015). Further supporting this are social media–style user interfaces (UIs), which promote continual collaboration. It’s learning that happens whenever an employee needs it, not when the organization or law decrees it. Data across HCM prompts these triggers.
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best practices, business optimization, business management, organization, talent management, technology, human resources
    
SumTotal, a Skillsoft Company
Published By: MuleSoft     Published Date: Oct 13, 2015
Improving data management is critical for streamlining regulatory reporting, monetizing customer analytics, and democratizing data-driven decision-making. Financial firms must transform their data management approach to unlock data from its silos, incorporate unstructured information from non-traditional sources, and integrate information whether on-premises, in the cloud, batch-based, or real-time. As this evolution continues, technology leaders must consider integration holistically across the enterprise and create an agility layer that is key to future-proofing their data management architecture. Read this whitepaper to learn: -Data management challenges in financial services -Best practices to manage data in financial institutions -Integration strategies for optimal data management
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back office systems, operational effectiveness, unlocking data, business imperatives, modernizing legacy systems
    
MuleSoft
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. However, some organizations today are building real-time data pipelines and using machine learning to improve active operations. Learn how to make sense of every format of log data, from security to infrastructure and application monitoring, with IT Operational Analytics--enabling you to reduce operational risks and quickly adapt to changing business conditions.
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AWS - ROI DNA
Published By: AWS - ROI DNA     Published Date: Aug 09, 2018
In today's big data digital world, your organization produces large volumes of data with great velocity. Generating value from this data and guiding decision making require quick capture, analysis and action. Without strategies to turn data into insights, the data loses its value and insights become irrelevant. Real-time data inegration and analytics tools play a crucial role in harnessing your data so you can enable business and IT stakeholders to make evidence-based decisions
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AWS - ROI DNA
Published By: Interactive Intelligence     Published Date: Apr 23, 2014
In a contact center environment, real-time analytics provide the live information needed to respond to difficult situations before a customer, a sale, or an opportunity is lost. Scott Bakken and David Patchen from MainTrax and Brandon Rowe from Interactive Intelligence discuss how real-time analytics help your business operate at optimal levels and experience increased growth and reduced costs.
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interactive intelligence, real time speech analytics, contact centers, data centers, real time analytics, productivity, revenue, retention rates, speech analytics, real time applications
    
Interactive Intelligence
Published By: Vertica     Published Date: Dec 09, 2008
BlueCrest Capital Management is a leading European hedge fund, with $15B in assets-under-management. Learn how BlueCrest uses Vertica Analytic DBMS to obtain real-time analysis while simultaneously loading vast amounts of new market data.
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vertica, data management, data warehousing, dbms, data mining, data source, data, security, business intelligence
    
Vertica
Published By: Mainline Information Systems     Published Date: Oct 20, 2009
This webcast will provide an overview of a very effective technology called Continuous Data Protection (CDP) also called continuous backup or real-time backup. CDP offers a valuable disk-based technology that enables a business to recover data to any point-in-time quickly and easily.
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continuous data protection, cdp, mainline information systems, real-time backup, recover data, data protection, replication, cdp & ha
    
Mainline Information Systems
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