cloud data

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Published By: Rohde & Schwarz Cybersecurity     Published Date: Nov 30, 2017
When Barracuda first engaged with Rohde & Schwarz Cybersecurity in 2007, enterprises were more concerned about the unauthorized use of Skype, other P2P applications and instant messaging. Although the need for application control and awareness remains, enterprise concerns are shifting to securing enterprise applications hosted in private and public clouds, protecting east-west data center traffic and preventing unwanted traffic and malware on the corporate network.
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firewall, r&s, visibility, application, network, secure, cloud, business applications
    
Rohde & Schwarz Cybersecurity
Published By: Rohde & Schwarz Cybersecurity     Published Date: Nov 28, 2017
When Barracuda first engaged with Rohde & Schwarz Cybersecurity in 2007, enterprises were more concerned about the unauthorized use of Skype, other P2P applications and instant messaging. Although the need for application control and awareness remains, enterprise concerns are shifting to securing enterprise applications hosted in private and public clouds, protecting east-west data center traffic and preventing unwanted traffic and malware on the corporate network.
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firewall, r&s, visibility, application, network, secure, cloud, business applications
    
Rohde & Schwarz Cybersecurity
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Very little data is available on how effectively enterprises are managing private cloud deployments in the real world. Are they doing so efficiently, or are they facing challenges in areas such as performance, TCO and capacity? Hewlett Packard Enterprise commissioned 451 Research to explore these issues through a survey of IT decision-makers and data from the Cloud Price Index.
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Hewlett Packard Enterprise
Published By: Evident.io     Published Date: Nov 23, 2015
AWS is the most widely deployed public cloud infrastructure as a service (IaaS) solution in the world and is a leader in Gartner's Magic Quadrant for IaaS (see "Magic Quadrant for Cloud Infrastructure as a Service"). AWS offers a large number of built-in security capabilities (see Note 1), and questions on the proper practices for securing workloads in AWS are increasing.1 AWS is a not a "consumer grade" IaaS cloud. It is a market leader, with a portfolio of security capabilities and security ecosystem partners unmatched by other IaaS providers. However, simply moving existing workloads to AWS without rethinking security tools, processes and system management will result in workloads that are less secure than they were when located within enterprise data centers. Conversely, a properly managed and secured workload in AWS will be at least as — and, in most cases, more — secure than in an enterprise data center.
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security, best practices, web services, amazon, workload, aws, data centers, enterprise, cloud, infrastructure
    
Evident.io
Published By: Attunity     Published Date: Feb 12, 2019
This technical whitepaper by Radiant Advisors covers key findings from their work with a network of Fortune 1000 companies and clients from various industries. It assesses the major trends and tips to gain access to and optimize data streaming for more valuable insights. Read this report to learn from real-world successes in modern data integration, and better understand how to maximize the use of streaming data. You will also learn about the value of populating a cloud data lake with streaming operational data, leveraging database replication, automation and other key modern data integration techniques. Download this whitepaper today for about the latest approaches on modern data integration and streaming data technologies.
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streaming data, cloud data lakes, cloud data lake, data lake, cloud, data lakes, streaming data, change data capture, cloud computing, modern data integration, data integration, data analytics, cloud-based data lake, enterprise data, self-service data
    
Attunity
Published By: HP - Enterprise     Published Date: Jun 04, 2013
Businesses are overwhelmed with data; it’s a blessing and a curse. A curse because it can overwhelm traditional approaches to storing and processing it. A blessing because the data promises business insight that never existed earlier. The industry has spawned a new term, “big data,” to describe it. Now, IT itself is overwhelmed with its own big data. In the press to roll out new services and technologies—mobility, cloud, virtualization—applications, networks, and physical and virtual servers grow in a sprawl. With them comes an unprecedented volume of data such as logs, events, and flows. It takes too much time and resources to sift through it, so most of it lies unexplored and unexploited. Yet like business data, it contains insight that can help us solve problems, make decisions, and plan for the future.
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data research, big data, virtualization, applications, networks
    
HP - Enterprise
Published By: Qualys     Published Date: Jun 30, 2016
Few would argue with the statement that security is a top priority for IT departments at companies large and small today. Data is the currency of the digital age and the lifeblood of organizations, so strategies to protect corporate data are growing in importance and are now a topic of C-suite consideration. So with high-profile data breaches continuing to occur across industries, security leaders are revamping their strategies to keep pace.
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security, cloud, cloud management, data security, it management
    
Qualys
Published By: Snowflake     Published Date: Jan 25, 2018
Compared with implementing and managing Hadoop (a traditional on-premises data warehouse) a data warehouse built for the cloud can deliver a multitude of unique benefits. The question is, can enterprises get the processing potential of Hadoop and the best of traditional data warehousing, and still benefit from related emerging technologies? Read this eBook to see how modern cloud data warehousing presents a dramatically simpler but more power approach than both Hadoop and traditional on-premises or “cloud-washed” data warehouse solutions.
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Snowflake
Published By: Equinix     Published Date: Jul 31, 2012
This GigaOM Pro paper reviews the metrics and the technologies you should consider when migrating to the private cloud. Get your complimentary 10-page report now.
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public, cloud, private, technologies, technology, public, equinix, gigaom, pro, zynga, cdn, applications, software, network, limelight, iaas, paas, saas, data, center
    
Equinix
Published By: Hewlett Packard Enterprise     Published Date: Oct 24, 2017
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Hewlett Packard Enterprise
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
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BMC ASEAN
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Shows how Oracle’s new cloud-based data preparation and data wrangling service unlocks value from complex business data.
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Oracle PaaS/IaaS/Hardware
Published By: Adaptive Computing     Published Date: Feb 06, 2014
A new approach, known as “Big Workflow,” is being created by Adaptive Computing to address the needs of these applications. It is designed to unify public clouds, private clouds, Map Reduce-type clusters, and technical computing clusters. Download now to learn more.
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adaptive, ada[tive computing, big data, data center, workload management, servers, cloud, cloud computing, storage, data storage
    
Adaptive Computing
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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Group M_IBM Q2'19
Published By: Delphix     Published Date: May 03, 2016
High-profile data breaches continue to make headlines as organizations struggle to manage information security in the face of rapidly changing applications, data centers, and the cloud. Against this backdrop, data masking has emerged as one of the most effective ways to protect sensitive test data from insider and outsider threats alike. While masking is now the de facto standard for protecting non-production data, implementing it alongside virtual data technologies has elevated its effectiveness even further.
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Delphix
Published By: Blue Coat     Published Date: Feb 09, 2016
Based on the analysis of over 63M documents shared in the cloud, this report highlights key trends and insights into the usage and security of cloud apps and the data residing in them.
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Blue Coat
Published By: Blue Coat     Published Date: Feb 09, 2016
Don’t let SaaS data security concerns stop you from migrating to the cloud. Learn how encryption and tokenization satisfy legal requirements and industry mandates for protecting sensitive data in SaaS cloud applications.
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Blue Coat
Published By: Group M_IBM Q2'19     Published Date: May 03, 2019
"Managing and securing endpoints with conventional mobile device management (MDM) or enterprise mobile management (EMM) solutions is time-consuming and ineffective. For this reason, global IT leaders are turning towards unified endpoint management (UEM) solutions to consolidate their management of smartphones, tablets, laptops and IoT devices into a single management console. To increase operational efficiency, maximize data security and deliver on their digital transformation goals, they’ll need a UEM platform that does more than just promise success. The answer is a smarter solution, built for today, that brings new opportunities, threats, and efficiency improvements to the forefront. With Watson™, IBM® MaaS360® UEM features cognitive insights, contextual analytics, and cloud-sourced benchmarking capabilities. It helps you make sense of daily mobile details while managing your endpoints, users, apps, document, and data from one platform."
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Group M_IBM Q2'19
Published By: Intel     Published Date: May 02, 2017
Cloudera helps communications service providers capitalize on big data to deliver a 360-degree view of customers and improve customer experiences.
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customer experience, service provider, csps, customer experience management
    
Intel
Published By: QTS Data Centers     Published Date: Feb 17, 2017
According to the 2016 Enterprise IT Spending Benchmarks, compiled by 451 Research, North America will exceed $1 trillion in IT spending by 2017. Businesses of all sizes are expected to move to a hybrid IT approach. When choosing a hybrid approach, you need both on-site and cloud resources that are reliable and well maintained. The easiest way to assure this is by streamlining your data center solutions through a single, fully integrated service provider.
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QTS Data Centers
Published By: IBM     Published Date: Jul 06, 2017
In the era of always-on business, enterprises need reliable, secure and consistently fast access at all times. Overlay that with the reality of how organizations combine on-premises systems with cloud-based solutions, and it’s clear that a robust, agile and flexible database platform is mandatory.
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reliability, security, consistency, database, platform, access
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
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