Download this case study and learn how deltaDNA, a solutions provider serving the gaming industry, is using real-time analytics to detect and respond to player behavior.
Learn how this flash storage data company generated 287% ROI and an average annual benefit of $13.6M by replacing its legacy database with Vertica.
Want to learn how to advance your big data analytics program and discover where you are relative to your peers in big data maturity? This TDWI guide explores the different stages in the maturity model and provides best practices for advancing through each stage.
Modern Master Data Management (MDM) is more than an extension of your data governance strategy. See how Reltio is taking MDM to the next level with its data platforms in AWS and Google Cloud.
Big data is growing faster than the capabilities available to manage and analyze it. Get this vendor comparison to learn how a modern master data management platform will help you to achieve better outcomes.
Explore this 31-criteria Forrester Wave Report on MDM platforms and vendors. You'll discover an evaluation of 12 vendors, including leader Reltio, with modern Master Data Management.
Download this white paper and learn how new in-database machine learning tools capable of processing these massive data sets are allowing companies to embrace the power of Big Data and accelerate business outcomes with predictive analytics.
Are you ready to capitalize on IoT data? Download this white paper from Harbor Research and learn how you can overcome the challenges of fragmented and legacy systems that are simply not equipped to handle IoT data.
You have a legacy system that no longer meets the demands of your current data needs, and replacing it isn’t an option. But don’t panic: Modernizing your traditional enterprise data warehouse is easier than you may think.
Read the newest e-book from Hortonworks and TDWI “EDW Modernization: Becoming a Data-Driven Enterprise” and learn what it means to be a data-driven enterprise.
How do enterprise architecture professionals make the right choice for their enterprise data warehouse strategy? A recent Forrester Wave Report looked at Big Data warehouse vendors to see how they measured up in various categories, including deployment, support, roadmap and partners. Hortonworks was ranked as a leader in The Forrester Wave™: Big Data Warehouse, Q2 2017.
In this white paper, Dr. Barry Devlin of 9sight Consulting takes on the controversy: must you ditch your enterprise data warehouse (EDW) for a data lake? In fact, Dr. Devlin shows these two technologies are complementary. Each serves a different set of business and technical needs, and they work together to help you get the most value from your business data.
Download this free report today to discover what strategies others are adopting, what’s working, and what results they are achieving. Learn from the experience of others to steer around the obstacles and keep your own program moving ahead
Apache NiFi is an integrated data logistics and simple event processing platform. It provides an end-to-end platform that can collect, curate, analyze and act on data in real-time, on-premise, or in the cloud with a drag-and-drop visual interface. This book is a must read.
Firms face an enormous data management challenge: how to act on data and insights to serve increasingly powerful customers and outmaneuver disruptive competitors. Architects once had time to plan methodically, but those days are quickly fading as the pace of business change accelerates. The only answer is a continuous improvement that stretches data capabilities in an “insights-first” strategy. This report provides advice for enterprise and data architects to help them systematically improve their data management capabilities in order to turn data into insights.
To realize the full potential of Modern Data Applications, organizations need to be able to capture both rich, historical insights on data-at-rest and perishable insights from data-in-motion. While flow management tools are available to help gather, route, filter and transform data from any source, companies have lacked equivalent tools for building the analytics apps needed to extract insight from streaming data.
Small to medium-sized businesses use, on average, fifteen SaaS applications to boost productivity and open new engagement channels with customers. Download this white paper to see how data pipeline automation can give these companies a huge competitive advantage.
Download this white paper for an exploration of how five healthcare organizations are using business intelligence and analytics to drive organizational improvement.
Download this white paper to avoid making five common mistakes in business intelligence and analytics.
Download this white paper to learn how deep learning will help businesses understand their customers.
Download this white paper to learn how Attunity Compose, a revolutionary agile analytics platform, is enabling businesses around the globe to reduce data warehouse project labor, accelerate time to value, and make more informed business decisions faster.
Download this white paper to learn how Information Builders' business intelligence, data integrity, and integration software solutions provide a comprehensive yet simplified answer to the challenges associated with Hadoop-based data management.
Download this white paper to learn how Cloudera provides a new paradigm for breaking data silos, so insurers can blend and analyze data from any source, in any amount, and for all types of workloads.
Download this white paper for an introduction to deep learning. Learn how Cloudera’s unified platform for data and machine learning can help your organization move forward with deep learning.
Download this white paper to learn how Cloudera solutions are enabling Experian, a credit reporting company, to create a better customer experience.
Download this white paper for an explanation of logical data warehouse architecture and why organizations should invest in it.
Download this white paper to learn how customer insights from data can help drive customer loyalty, improve customer experience, increase revenue, and reduce cost.
Download this white paper to explore common application patterns companies are employing to get more value from their data in the cloud.
Download this white paper to learn how Cloudera Enterprise can supply your organization with right data at the right time for improved efficiency and customer insights.
Download this white paper to understand the current state of cybersecurity big data analytics and how it intersects with Apache Hadoop-based cybersecurity applications.
Download this e-book to learn how IT organizations can manage data smarter while maintaining or even reducing costs, so that business users can get real value from data faster and more easily.
Data warehouse automation (DWA) tools eliminate the manual effort required to design, deploy, and operate a data warehouse. This turns data warehouse development from a laborious, time-consuming exercise into an agile one. This white paper describes how there are many other factors that customers should consider before purchasing a DWA product.
In this white paper, we will explore a few of the challenges of the traditional analytics platform and the risks of not modernizing, recommend what to look for in a solution that eliminates those challenges, and show you how some companies are using modern analytics platforms to succeed.
Download this white paper for the complete findings from a Forrester study evaluating the factors driving analytics/BI maturity, particularly in relation to cloud capabilities.
Work within the data warehouse's inherent limitations—not against them.
Collecting "big data" was once big news. However, companies are realizing that big data projects aren't delivering their expected ROI because building a repository is just part of the equation.
Get the benefits of data warehousing without the challenges of managing a data warehouse.
We get it—you’re sick of all the manual mapping required to sort out inconsistencies in your data. You’re sick of going in blind to find and fix errors. Most of all, you’re sick of that feeling that you’ve been tasked with MISSION IMPOSSIBLE.
diwo is designed to reveal business opportunities in real time as it continuously analyzes multiple incoming data streams.
Accelerate insights from analytics with managed cloud services.
A participatory architecture is central to the evolution of diwo.
This document provides an overview of data management and data science within diwo, how it interacts with data and generates cognitive insights within existing Resilient Actor-based ecosystem as a microservices architecture to achieve minimal data redundancy and high speed data movement.
This infographic explains why financial services need secure analytics and how industrial-strength cloud security can help.
Some relational databases have undergone significant cloud-related development in their latest releases. Those will be the focus of this Sector Roadmap, along with the databases built native for the cloud.
Data has always been at the heart of the modern enterprise. For decades, though, most IT efforts have focused on data created by enterprise applications to support internal reporting and analysis.
Today, it’s clear that focusing on internal data for business insight has become dangerously inadequate.
This Checklist Report drills into some of the emerging data platforms that modern data-driven organizations are embracing. The goal is to accelerate users’ understanding of new data platforms so they can choose/use the ones that best support the new data-driven goals of their organizations.
You need a powerful, simple, and affordable data warehouse built for the cloud to store and analyze all your data in one location. In this e-book, we’ll detail key insights you can use to champion modern data warehouse technology within your organization, helping it become a data-driven enterprise.
This ESG Lab Review documents the recent analysis of Cloudera Navigator Optimizer with a goal of validating its ability to enable organizations to identify and offload SQL workloads from legacy data marts and costly enterprise data warehouses (EDWs) to a modern analytic database built on Hadoop, while optimizing existing workloads already on Hadoop.