data platform

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By: Datastax     Published Date: May 14, 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
By: Datastax     Published Date: May 14, 2018
"What’s In The Report? The Forrester Wave: Translytical Data Platforms, Q4 2017 report reviews companies that offer “translytical data platforms”, which Forrester defines as an “emerging technology” that delivers “faster access to business data to support various workloads and use cases.” Download the report if you want to learn: -Why Forrester named DataStax a leader among 12 companies it identifies as “the most significant translytical vendors. -What constitutes a “translytical data platform” and why translytical data platforms are so critical for enterprise data strategies today. Why performance, scale, security, and use-case support are the key differentiators."
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Datastax
By: Datastax     Published Date: Aug 27, 2018
"Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models"
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Datastax
By: Datastax     Published Date: Aug 27, 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
By: Datastax     Published Date: Aug 28, 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
By: Datastax     Published Date: Dec 27, 2018
This paper examines the challenges banks face when creating a 360-degree view of every customer interaction, what database requirements the lines of business (LOBs) should look into, and use cases where retail banking LOBs can benefit from leveraging DataStax Enterprise, the data management platform purpose-built to power cloud applications.
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Datastax
By: Druva     Published Date: Sep 27, 2017
Managing the backup and restore of virtual machines in a distributed environment is typically a convoluted process. Learn how a cloud-native platform for these data protection workloads enables organizations to reduce the demands on IT teams as well as their budgets.
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vmware, data protection, cloud protection, native platforms
    
Druva
By: Druva     Published Date: Nov 09, 2018
The all-encompassing data center is a thing of the past. Modern data environments are distributed and include remote and branch offices, mobile devices, and the Internet of Things (IoT) as well as cloud solutions such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). There’s more critical data to back up than ever before. Plus, data silos and fragmented management mean poor visibility, which can make it difficult to comply with regional data residency and security rules as well as service-level agreements (SLAs). On-premises data protection has not kept pace. According to a survey by Fujitsu, 45% of IT managers said they had lost data or productivity related to data protection inefficiency within the last year.1 Often, this is because on-premises backups are cumbersome and do not always happen on time.
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Druva
By: FinancialForce     Published Date: Aug 20, 2019
Salesforce CRM + FinancialForce ERP Better Together The value of the Salesforce Platform is undeniable. Salesforce has helped companies around the world streamline their technologies and processes. So when you combine your Salesforce CRM with an ERP solution native to the platform, the benefits are only magnified. Sales, finance, services teams will be able to work from the same connected system, sharing a master customer record, with data unified and process and workflows harmonized. Some businesses have tried to reap these benefits through rough integrations between old ERP systems and Salesforce, but nothing is smarter or more effective than using an ERP solution built on the platform itself. Download the eBook and see how combining Salesforce CRM and FinancialForce ERP can help you:
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FinancialForce
By: OneLogin     Published Date: Oct 24, 2017
In this ebook, we dive into how identity management streamlines access to the cloud while protecting corporate data. The location of many resources is changing to the cloud, yet companies still need central management of those resources. Trying to maintain security and order in a chaotic free-for-all use of cloud apps and bring-your-own-device culture is like a black hole sucking in IT’s time—time they could be dedicating to other projects. OneLogin’s cloud identity management platform spans the entire application portfolio with secure single sign-on (SSO), multi-factor authentication (MFA), user provisioning, integration with common directory infrastructures such as Active Directory (AD), Lightweight Directory Access Protocol (LDAP), and various cloud directories, and more. We recommend the following: • IT departments leverage OneLogin for all their identity management needs • IT departments educate users about security and safe sharing • App owners enable Security Assertion M
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OneLogin
By: Red Hat     Published Date: Jan 02, 2018
Organizations are at a strategic crossroads. According to IDC analysts,1 two-thirds of CEOs will center their corporate strategies around digital transformation initiatives. The goal of digital transformation is only partly to make existing functions more effective. The greater goal is to be able to do new things and use existing data in new, better ways. Yet, 72% of current IT spending2—and the focus of IT resources—is on maintaining existing systems. This creates tension between what needs to be done today and what should be done for the future. Middle-tier applications, according to IDC,3 are the core of a digital transformation strategy because they provide data integration, messaging, and application programming interface (API) management. Middle-tier applications also provide a platform for application development and management that can handle traditional enterprise applications and cloud-native, distributed applications. Specifically, a Java™ EE-based application platform can
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Red Hat
By: Group M_IBM Q1'18     Published Date: Jan 23, 2018
This paper gives key considerations when making a strategic commitment to a database platform.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
By: IBM     Published Date: Apr 19, 2018
This paper presents a cost/benefit case for two industry-leading database platforms for analytics workloads.
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db2, data migration, ibm, oracle
    
IBM
By: Oracle     Published Date: Apr 02, 2018
Deciding on a data management platform (DMP)? From audience scale to business strategy, you need to get to the core of a provider’s offerings before signing on the dotted line. Oracle Data Cloud created this checklist of the top seven questions you should ask any DMP provider. Download our checklist today to get your hands on the most important questions!
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dmp, platform, management, oracle, data, cloud
    
Oracle
By: Oracle     Published Date: Sep 21, 2018
Agility and speed are required in the cloud economy. Modernize data warehouses with built-in adaptive machine learning to eliminate manual labor for administrative tasks. With Oracle, businesses can now build data warehouses or data marts in minutes.
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Oracle
By: Oracle     Published Date: Sep 21, 2018
Choosing the right platform for cloud is a critical decision. You will want the next generation cloud infrastructure; Oracle Cloud is an optimized cloud platform.
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Oracle
By: Group M_IBM Q119     Published Date: Dec 18, 2018
IBM LinuxONE™ is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor™ II, is designed for businesses where the following may be required: • protecting sensitive transactions and minimizing business risk • accelerating the movement of data, even with the largest databases • growing users and transactions instantly while maintaining operational excellence • accessing an open platform that speeds innovation
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Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Feb 21, 2019
Mobile marketing platforms facilitate direct marketing on mobile devices by enabling mobile campaign management and activation. These platforms can operate as stand-alone solutions; however, they typically integrate with, or operate alongside, CRM, location/data management, and multichannel marketing hub (MMH) or email marketing platforms. Regardless of how a mobile marketing platform gets deployed, the native or third-party analytics supporting its audience targeting, campaign sequencing, personalization and performance measurement capabilities form the foundation of this technology.
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Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Mar 11, 2019
The life of an enterprise architect is becoming busy and difficult. Before the era of big data, the enterprise architect “only” had to worry about the data and systems within their own data center. However, over the past decade there were revolutionary changes to the way information is used by businesses and how data management platforms support the information available from modern data sources.
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Group M_IBM Q119
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
By: Group M_IBM Q2'19     Published Date: Apr 04, 2019
If your bank is like many, it encrypts only a minimum of data. This is because many banks believe, incorrectly, that encrypting all data is unworkably cost- and resource-intensive on any platform. Encrypting piecemeal creates the need to carefully track where you are encrypting, what you are encrypting, and the time and resource costs of these activities.
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Group M_IBM Q2'19
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
By: Visier     Published Date: Jan 25, 2019
John Schwarz founded Visier to address what he saw as the major failing of business intelligence and big data analytics. He had a front row seat in this market while leading Business Objects, the largest global business intelligence provider (acquired by SAP). John and co-founder Ryan Wong’s vision was to completely reinvent the approach to analytics, providing instant and complete, domain-specific applications to business leaders, answering their important strategic questions and leading them to adopt best management practices. Their applied business analytics project is working. Today, more than a hundred blue chip companies have selected Visier as their people strategy platform and are achieving incredible results. And that’s just the beginning.
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Visier
By: Domino Data Lab     Published Date: Feb 08, 2019
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform. This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
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Domino Data Lab
By: Domino Data Lab     Published Date: Feb 08, 2019
As organizations increasingly strive to become model-driven, they recognize the necessity of a data science platform. According to a recent survey report “Key Factors on the Journey to Become Model-Driven”, 86% of model-driven companies differentiate themselves by using a data science platform. And yet the question of whether to build or buy still remains. This paper presents a framework to facilitate the decision process, and considers the four-year projection of total costs for both approaches in a sample scenario. Read this whitepaper to understand three major factors in your decision process: Total cost of ownership - Internal build costs often run into the tens of millions Opportunity costs - Distraction from your core competency Risk factors - Missed deadlines and delayed time to market
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Domino Data Lab
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