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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Published By: SAP
Published Date: Mar 09, 2017
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
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Published By: Pentaho
Published Date: Feb 26, 2015
This TDWI Best Practices report explains the benefits that Hadoop and Hadoop-based products can bring to organizations today, both for big data analytics and as complements to existing BI and data warehousing technologies.
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Published By: Pentaho
Published Date: Nov 04, 2015
This report explains the benefits that Hadoop and Hadoop-based products can bring to organizations today, both for big data analytics and as complements to existing BI and data warehousing technologies based on TDWI research plus survey responses from 325 data management professionals across 13 industries. It also covers Hadoop best practices and provides an overview of tools and platforms that integrate with Hadoop.
Tags : | pentaho, analytics, platforms, hadoop, big data, predictive analytics, data management, networking, it management, knowledge management, enterprise applications, data center | |
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Published By: Pentaho
Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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Published By: BlueData
Published Date: Mar 13, 2018
In a benchmark study, Intel compared the performance of Big Data workloads running on a bare-metal deployment versus running in Docker containers with the BlueData software platform. This landmark benchmark study used unmodified Apache Hadoop* workloads
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Published By: Dell EMC
Published Date: Nov 09, 2015
This business-oriented white paper summarizes the wide-ranging benefits of the Hadoop platform, highlights common data processing use cases and explores examples of specific use cases in vertical industries. The information presented here draws on the collective experiences of three leaders in the use of Hadoop technologies—Dell and its partners Cloudera and Intel.
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Published By: Dell EMC
Published Date: Nov 09, 2015
While the EDW plays an all-important role in the effort to leverage big data to drive business value, it is not without its challenges. In particular, the typical EDW is being pushed to its limits by the volume, velocity and variety of data.
Download this whitepaper and see how the Dell™ | Cloudera™ | Syncsort™ Data Warehouse Optimization – ETL Offload Reference Architecture can help.
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Published By: Dell EMC
Published Date: Oct 08, 2015
The information presented here draws on the collective experiences of three leaders in the use of Hadoop technologies—Dell® and its partners Cloudera® and Intel®.
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Published By: Dell EMC
Published Date: Oct 08, 2015
This paper discusses how the many Dell | Cloudera Hadoop solutions help organizations of all sizes, and with a variety of needs and use cases, tackle their big data requirements.
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Published By: Dell EMC
Published Date: Oct 08, 2015
In order to protect big data today, organizations must have solutions that address four key areas: authentication, authorization, audit and lineage, and compliant data protection.
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Published By: Dell EMC
Published Date: Oct 08, 2015
To compete in this new multi-channel environment, we’ve seen in this guide how retailers have to adopt new and innovative strategies to attract and retain customers. Big data technologies, specifically Hadoop, enable retailers to connect with customers through multiple channels at an entirely new level by harnessing the vast volumes of new data available today. Hadoop helps retailers store, transform, integrate and analyze a wide variety of online and offline customer data—POS transactions, e-commerce transactions, clickstream data, email, social media, sensor data and call center records—all in one central repository.
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Published By: Dell EMC
Published Date: Oct 08, 2015
Download this white paper to learn how the company deployed a Dell and Hadoop cluster based on Dell and Intel® technologies to support a new big data insight solution that gives clients a unified view of customer data.
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Published By: Dell EMC
Published Date: Oct 12, 2015
This business-oriented white paper explains four options for starting your Hadoop journey. This paper also outlines the benefits of Hadoop and highlights some of the many use cases for this new approach to managing, storing and processing big data.
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Published By: IBM APAC
Published Date: Jul 09, 2017
In a recent report, Aberdeen's research suggests that Hadoop usage could be a catalyst for an enhanced and well-rounded data strategy.
Read on to find out more.
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Published By: Pepperdata
Published Date: Jun 25, 2015
Download the white paper, A Highly-Tuned Hadoop Cluster, to learn how to add real-time optimization technology to performance tuning strategy to:
• Monitor and control the actual use of (and demand for) each kind of hardware resource by task
• Identify ‘holes’ in the cluster where a node could temporarily do more work
• Eliminate the need to physically separate workloads to ensure performance
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Published By: Pepperdata
Published Date: Jun 25, 2015
Download this whitepaper to learn how real-¬time cluster optimization technology can be used in multi¬-tenancy Hadoop environments to:
• Eliminate the expense of having to physically isolate workloads
• Enforce service level agreements (SLAs) based on customer¬ defined policies
• Enable cluster usage tracking by job, task and user to speed troubleshooting and help with chargebacks
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Published By: IBM
Published Date: Oct 19, 2015
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
Tags : | ibm, infosphere, data profiling, business glossary, partition, pipeline parallelism, information server, data sources, hadoop, networking, security, data management, business technology | |
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Published By: Teradata
Published Date: Jan 28, 2015
Althrough Hadoop and related technologies have been with us for several years, most business intelligence (BI) professionals and their business counterparts still harbor a few misconceptions that need to be corrected about Hadoop and related technologies such as MapReduce.
This webcast presents the 10 most common myths about Hadoop, then corrects them. The goal is to clarify what Hadoop is and does relative to BI, as well as in which business and technology situations Hadoop-based BI, data warehousing and analytics can be useful.
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Published By: Teradata
Published Date: Jan 30, 2015
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
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Published By: Teradata
Published Date: Jan 30, 2015
Hadoop is the rising star of the business technology agenda for a simple reason — it disrupts the economics of data, analytics, and someday soon, all enterprise applications; it is secretly becoming an application platform too. Application development and delivery (AD&D) professionals should be aware of and take action on these eight predictions, including the disruptive power of “Hadooponomics,” Hadoop’s current killer app, the closing data management gap, and the emergence of brand new distros.
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Published By: Teradata
Published Date: Jan 30, 2015
Enterprise Hadoop Implementation with Teradata and Hortonworks
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Published By: Teradata
Published Date: Jan 30, 2015
This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
Tags : | teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, aster, snap, framework, apache, hadoop, yarn, architectures, data management, business technology | |
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