Topic
Big Data
Products
Product
Dell EMC Storage for Data Analytics
Realize your data-first strategy with modern data analytics infrastructure.
Product
Intel Cofluent
Speed up the deployment of your business’s complex systems by modeling and simulating hardware and software interactions using Intel CoFluent technology. This solution analyzes the behavior of your systems, and predicts the network and performance requirements of software stacks and hardware activities before you purchase and deploy your equipment.
Product
Intel Docea
Intel Docea solutions enable modeling and simulation of the power consumption and thermal behavior of electronic systems from an architectural perspective. The solutions are used to secure specifications, optimize power behavior, and accelerate validation and verification of design projects. Intel Docea solutions apply to both electronic systems, such as boards and OEM devices, and semiconductor devices, including IC, SoC, and System in Package.
Product
TIBCO ActiveSpaces
Performance, scalability, and reliability for accessing and processing big data at digital business speed.
Product
Netapp Big Data Analytics
Data sprawl is only bad if you can’t harness it. NetApp solutions for big data analytics do just that. So you can move faster, scale with ease, and deliver maximum uptime to keep your workloads running.
Product
BMC AMI LOBMaster for Db2
BMC AMI LOBMaster for Db2 is a data management solution designed specifically for the size and complexity of Db2 LOBs. BMC AMI LOBMaster for Db2 consolidates all of the required steps to validate, maintain, and optionally correct (where possible) errors in LOBs into a single, high-speed, automated solution.
Product
BMC AMI Database Performance for Db2
BMC AMI Database Performance for Db2 is a collection of technologically advanced solutions that deliver greatly improved application performance, reduced application costs, and increased data availability. BMC AMI Database Performance for Db2 provides intelligent automation, allowing you to focus your efforts where they matter most: on the performance and availability of your critical data assets.
Product
BMC AMI Database Administration for Db2
BMC AMI Database Administration for Db2 helps you manage the complexity of your IBM Db2 environments while reducing your risk of errors, data loss, and downtime. Improve DBA productivity while automating database administration tasks, manage multiple Db2 environments seamlessly, and synchronize changes across them.
Product
BMC AMI Data Extractor for IMS
Get the real-time IMS data you need when you need it - to feed to analytics engines and security information and event management (SIEM) tools. Harvest the data safely and securely with no impact to transaction processing times and virtually no overhead. Use intelligent filtering to get only the data you need and lower usage costs for ingestion-based analytics engines.
Resources
Ebook
Simplify your Data and Analytics Architecture for Faster Insights: Accelerate AI/ML Initiatives with Automated Data Ingestion
The Qlik and Databricks solution drives agility, reduces risk, and allows organizations to realize the potential of their Databricks Unified Data Analytics Platform investment more fully. For more insights on combining Data Warehouses and Data Lakes to improve analysis and insights download the Ventana Research eBook.
Other
Monitoring the Surface of the Sun with NASA’S Solar Dynamics Observatory, Z BY HP, and NVIDIA
At NASA, data is everything. From object detection to mission enablement, data collection and rapid insight are paramount to mission success. And the challenge with analyzing the data is not just due to its size, but its type. The data is quite literally out of this world, including images of galaxies, stars, and planet surfaces from across the solar system.
White Paper
Embracing Data Virtualizationwith Microsoft SQL Server and Dell Technologies
Organizations across industries continue down the digital transformation path. ESG research shows that while 19% of organizations view themselves as having already implemented and optimized several digital transformation initiatives, a majority (57%) of organizations are still on the path, with 18% still in the planning stages.
Ebook
Kayfiat muealajat aliadtirabat biastikhdam altahlilat altanabuwiya
al'amr basiti: yahduth alaidtirab ('aw alaistinzafi) eindama yughadir aleumala' , wayataeayan ealaa alsharikat fi kuli sinaeat tqryban muealajatuha li'anaha tatamatae bialqudrat ealaa aistiqrar numui 'ayi nashat tijariin hataa law kan hadha alnashat altijariu yaktasib aleumala' bisureatin. tuealijuha 'akthar alsharikat njahan min khilal bina' namadhij tanbawiyat tatanabaa bidiqat bialhuduthi.
Ebook
Wie Sie Churn mit Predictive Analytics vorhersagen können
Um Wachstum zu stabilisieren müssen sich Unternehmen in fast allen Branchen mit Churn auseinandersetzen. Die erfolgreichsten Unternehmen gehen dies an, indem sie Vorhersagemodelle erstellen, die die Abwanderung genau vorhersagen. Dann ergreifen sie Maßnahmen, indem sie gezielte Marketingkampagnen erstellen, um dies zu verhindern, oder indem sie Produktänderungen vornehmen, um Churn zu bekämpfen.
Ebook
Cómo abordar el abandono con análisis predictivo
Es simple: la deserción (o deserción) es cuando los clientes se van, y las empresas de casi todas las industrias tienen que abordarlo porque tiene el poder de estabilizar el crecimiento de cualquier negocio, incluso si ese negocio está ganando clientes rápidamente. Las empresas más exitosas lo abordan mediante la creación de modelos predictivos que predicen con precisión el abandono.
Dell EMC Ready Solutions for Hadoop
That’s why Dell Technologies works with industry leaders — like Cloudera® and — to remove the uncertainty and barriers that may dissuade you from deploying Hadoop. Dell EMC Ready Architectures for Hadoop provide a faster way to harness the power of data analytics to drive competitive advantage.
Dell EMC Ready Solutions for Data Analytics
Dell Technologies can help you unlock the value of your data with a solution portfolio that encompasses a wide selection of options, purpose‑built for today's top data transformation goals.
Ebook
Come gestire il fenomeno dell’abbandono con l'analitica predittiva
Il churn rate, o tasso di abbandono, è la percentuale di clienti persi in un periodo di tempo. Ogni azienda deve farci i conti, anche quelle che affrontano una rapida crescita. Le aziende di maggior successo rispondono creando modelli che prevedono accuratamente il tasso di abbandono. Poi implementano campagne di marketing mirate sulla prevenzione del churn o apportando modifiche ai loro prodotti per combatterlo.
Companies
View MoreDefinitive Healthcare
We offer solutions for customers who work in Biopharma, Medical Devices, Software & IT, Professional Services, Healthcare Providers or any industry looking to sell products into the healthcare market. Our solutions help customers who are looking for intelligence to help with: • Go-to-market planning and execution • Product development • Market intelligence • Corporate development • Sales intelligence & optimization
View MoreAparavi
Aparavi is THE Data Intelligence and Automation Platform. We help organizations find and unlock the value of data no matter where it lives. Our cloud-based platform finds, automates, governs, and consolidates distributed data. We ensure secure access for modern data demands of analytics, machine learning, and collaboration. Aparavi connects business and IT to transform data into a competitive asset.
View MoreCloudLex
CloudLex® understands the needs of personal injury attorneys because it’s designed by expert tech professionals and personal injury attorneys. Our industry professionals have significant experience mapping and managing the litigation process.
View MoreSisu
Sisu’s Augmented Analytics platform is the fastest and most comprehensive way to understand why business metrics are changing. Based on years of research at Stanford University and proven at scale with Microsoft and Google, Sisu uses machine learning and powerful statistical analysis to help anyone diagnose changes to their business.
View MoreSensorTower
Sensor Tower is the leading provider of market intelligence and insights for the global app economy. Founded in 2013 and based in San Francisco, CA, Sensor Tower provides enterprise-level data on mobile apps and publishers through our Store Intelligence, Ad Intelligence, Usage Intelligence, and App Intelligence platforms, which offer download, revenue, share of voice, and engagement metrics at unparalleled accuracy for the world’s most important markets.
View More3Pillar Global
Our digital product strategists and engineers provide total product life cycle services with breakthrough innovation and rapid time to market. We drive product outcomes from ideation to ongoing evolution and operations.
View MoreTimeXtender
TimeXtender provides companies – in all industries – with instant access to data, enabling them to make quality business decisions with data, mind and heart. We do this for one simple reason: because time matters.
View Moreinpher
Inpher, Inc. designs and develops software solutions. The Company offers data management and computing software products. Inpher serves customers in the United States and Switzerland.
View MoreCollibra
Global organizations choose Collibra to unlock the value of their data and turn it into a strategic, competitive asset. We have a diverse global footprint, with offices in the U.S., Belgium, Australia, Czech Republic, France, Poland and the U.K.
Blogs
Blog
What Is AI Edge Computing?
AI Edge Computing refers to the utilization and processing of artificial intelligence functions through edge networks. Artificial intelligence involves the use of complex systems and algorithms that enable machines to operate and make decisions based on analyzed data. Some applications of AI includ
Blog
What Is Edge Computing? Why Is It an Important Trend in 2020?
Understanding the next evolutionary step in cloud-edge computing mitigates some of the weaknesses of cloud computing in the modern business environment. Edge computing is a cloud computing offshoot. It runs on the principle that data is processed through mobile devices that are connected to