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Published By: MapR Technologies     Published Date: Jan 08, 2014
Forrester Research shares seven architectural qualities for evaluating Big Data production platforms. In this webinar guest speaker Mike Gualtieri, Principal Analyst at Forrester, along with experts from MapR and Cisco, will present the following: • The 7 architectural qualities for productionizing Hadoop successfully • Architectural best practices for Big Data applications • The benefits of planning for scale • How Cisco IT is using best practices for their Big Data applications Speakers • Mike Gualtieri, Principal Analyst at Forrester Research • Jack Norris, Chief Marketing Officer at MapR Technologies • Andrew Blaisdell, Product Marketing Manager at Cisco • Sudharshan Seerapu, IT Engineer at Cisco
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
    
MapR Technologies
Published By: MapR Technologies     Published Date: Jan 03, 2014
As the demand for Big Data analytics mushrooms, IT decision-makers must prepare for the widespread deployment of Hadoop. This Technical Insight Paper from the Evaluator Group outlines the key requirements that must be met to make Hadoop enterprise data center ready.
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
    
MapR Technologies
Published By: Dell     Published Date: Aug 24, 2015
To extract value from an ever-growing onslaught of data, your organization needs next-generation data management, integration, storage and processing systems that allow you to collect, manage, store and analyze data quickly, efficiently and cost-effectively. That’s the case with Dell | Cloudera® Apache™ Hadoop® solutions for big data.
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dell, data management, data integration, big data, hadoop, small business networks, cloud computing, data center design and management
    
Dell
Published By: IBM     Published Date: Oct 26, 2015
Read how IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights.
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ibm, ibm infosphere biginsights, data, big data, hadoop, cloud computing, data center design and management, virtualization
    
IBM
Published By: IBM     Published Date: Oct 26, 2015
Big data is fueling a new economy—one based on insight. How can you create the valuable insights that are the currency for the new economy while controlling complexity? Apache Spark might be the answer.
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ibm, apache spark, big data
    
IBM
Published By: IBM     Published Date: Oct 26, 2015
Machine learning can help us plan our lives so we can increase our likelihood of success. We are already seeing machine learning powered by Apache Spark changing the face of innovation at IBM. Learn more.
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ibm, machine learning, apache spark, business intelligence, intelligence, intelligence applications, big data, data
    
IBM
Published By: Symantec     Published Date: Apr 02, 2015
The discovery of the Heartbleed bug in April, 2014 exposed a serious vulnerability in OpenSSL, an open-source cryptographic library often used with applications and web servers like Apache and Nginx. This latest high profile, targeted attack allowed infiltrators access to the memory of web servers running vulnerable versions of the library. Heartbleed quickly compromised the privacy for communications applications on the Web such as e-commerce, banking, email, and instant messaging, and opened the door to the interception of user information, passwords, and identities. While the world now knows of the widespread havoc Heartbleed has caused to both businesses and individuals, it begs the question, “What happens when the next Heartbleed (or worse) comes along, and what can an organization do to weather yet another chapter in an all-too-familiar string of debilitating attacks?
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heartbleed bug, openssl, communications applications, e-commerce, user information, passwords, security
    
Symantec
Published By: Thawte     Published Date: Oct 06, 2014
In this guide we examine the importance of Apache-SSL and who needs an SSL certificate. We look at how SSL works, how it benefits your company and how your customers can tell if a site is secure.
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apache web server, digital certificate, ssl certificate, benefits, ssl
    
Thawte
Published By: NetApp     Published Date: Jun 27, 2016
Flash storage helps businesses exceed their expectations for speed, the end-user experience, and performance. Leaders from Citrix, Apache, and Western Oregon University speak about the challenges they overcame and how NetApp® flash solutions helped them to win.
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NetApp
Published By: Thawte     Published Date: Aug 08, 2013
In this guide we examine the importance of Apache-SSL and who needs an SSL certificate. We look at how SSL works, how it benefits your company and how your customers can tell if a site is secure.
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thawte, ssl certificate, application, web server, data collection, technology, encryption, networking, security
    
Thawte
Published By: Thawte     Published Date: Dec 29, 2015
In this guide we examine the importance of Apache-SSL and who needs an SSL certificate.
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security, apache, web server, digital certificate, business continuity, compliance, security management, web service security
    
Thawte
Published By: IBM     Published Date: May 02, 2014
Learn more about Forrester’s results, and how these organizations are realizing both economic and operational benefits with InfoSphere Optim solutions.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy, data center
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
As most companies now realize, analytics is increasingly more of an integral part of their day-to-day business operations. In a recent survey by a global research firm, 80% of CIOs stated that transition from backward-looking, passive analysis must shift to forward-looking predictive analytics. The challenge is that many analytic solutions are aligned to a specific platform, tied to inflexible programming models and requiring vast data movement. In this webcast, Forrester and experts from IBM will highlight how technology like Apache Spark on z/OS allows businesses to extract deep customer insight without the cost, latency and security risks of data movement throughout the enterprise.
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ibm, forrester, apache spark, spark technology, z systems, security
    
IBM
Published By: Datastax     Published Date: Aug 07, 2018
Nobody likes being bogged down in operations, least of all database administrators who have enough to worry about already. The new DataStax Enterprise (DSE) has made it especially easy to be a DBA. With features like NodeSync, Advanced Replication, and OpsCenter, DSE is Apache Cassandra™ made simple. Read this white paper to learn how DSE simplifies your operations.
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
Nobody likes being bogged down in operations, least of all database administrators who have enough to worry about already. The new DataStax Enterprise (DSE) has made it especially easy to be a DBA. With features like NodeSync, Advanced Replication, and OpsCenter, DSE is Apache Cassandra™ made simple. Read this white paper to learn how DSE simplifies your operations.
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
Built on a production-certified version of Apache Spark™ and with integrated search and graph capabilities, DSE Analytics provides highly available, production-ready analytics that enables enterprises to securely build instantly responsive, contextual, always-on applications and generate ad-hoc reports. Read this white paper to learn about the specific features and capabilities of DSE Analytics, and why DSE Analytics is designed for the Right-Now Enterprise.
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
Today’s enterprises continue to differentiate themselves via their cloud applications. But differentiation is getting harder and harder to accomplish. To stand out, you need a flexible, nimble, scalable, always-on data platform that can deliver powerful, game-changing, customer-facing applications. Read this white paper to learn how DataStax Enterprise delivers comprehensive data management through a secure, operationally simple platform built on the best distribution of Apache Cassandra™.
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
Today’s companies require serious POWER at the data layer if they’re going to thrive in the Right-Now Economy. That’s why DataStax upped the ante with the latest version of its flagship product: DataStax Enterprise (DSE) 6. DSE 6 offers double the performance of DataStax Enterprise 5.1 and has now been independently verified as being at least twice as fast as open source Apache Cassandra. Read this white paper to learn all about DSE 6 performance improvements.
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
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Datastax
Published By: Datastax     Published Date: May 20, 2019
DataStax Enterprise and Apache Kafka are designed specifically to fit the needs of modern, next-generation businesses. With DataStax Enterprise (DSE) providing the blazing fast, highly-available hybrid cloud data layer and Apache Kafka™ detangling the web of complex architectures via its distributed streaming attributes, these two form a perfect match for event-driven enterprise architectures.
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Datastax
Published By: Pure Storage     Published Date: Apr 18, 2018
Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models. The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude.
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Pure Storage
Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
IBM® InfoSphere® Big Match for Hadoop helps you analyze massive volumes of structured and unstructured customer data to gain deeper customer insights. It can enable fast, efficient linking of data from multiple sources to provide complete and accurate customer information—without the risks of moving data from source to source. The solution supports platforms running Apache Hadoop such as IBM Open Platform, IBM BigInsights, Hortonworks and Cloudera.
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hadoop, infosphere, data, customer insights
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Feb 14, 2018
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization.
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gartner, magic quadrant, data science platform, machine-learning
    
Group M_IBM Q1'18
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