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By: CDW     Published Date: Apr 04, 2016
Read more to learn why Salt Lake Community College relies on APC’s power and cooling technology to keep its brand-new Center for Arts and Media data center humming.
Tags : best practices, business optimization, case study, technology
     CDW
By: CDW - APC     Published Date: Apr 07, 2016
Read more to learn why Salt Lake Community College relies on APC’s power and cooling technology to keep its brand-new Center for Arts and Media data center humming.
Tags : best practices, business optimization, case study, technology
     CDW - APC
By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
Tags : data, lake, amazon, web, services, aws
     AWS
By: AWS     Published Date: Oct 31, 2018
Today AMP Ltd. integrates and manages its customer data more efficiently using a single Talend platform that enables data reconciliation, quality-assessment dashboards, and metadata management. Ten billion rows of AMP Ltd. data are computed in less than an hour. In this webinar you will learn how you can modernize your data architecture to help you collect and validate data, act upon it, and transform your organization for the digital age.
Tags : amp, cloud, data, customer, reconciliation, digital
     AWS
By: AWS     Published Date: Dec 17, 2018
Watch this webinar to learn best practices from Zaloni for creating flexible, responsive, and cost-effective data lakes for advanced analytics that leverage Amazon Web Services (AWS).
Tags : 
     AWS
By: Snowflake     Published Date: Apr 14, 2015
Read about what makes data warehousing as a service different from traditional data warehousing–it’s more than just a data warehouse in the cloud.
Tags : snowflake, data warehousing, cloud computing, best practices, data processing, saas
     Snowflake
By: Snowflake     Published Date: Apr 14, 2015
Learn why Snowflake is reinventing the data warehouse to meet the changing nature of data and its usage within the enterprise.
Tags : snowflake, data warehouse, cloud computing, big data
     Snowflake
By: Snowflake     Published Date: Apr 14, 2015
Find out why data professionals are NOT replacing their data warehouse with Hadoop—read the survey
Tags : dimensional research, data professionals, data warehouse, cloud computing, big data, new technology
     Snowflake
By: Snowflake     Published Date: Apr 14, 2015
Six things that are critical to evaluate for data warehousing in the cloud.
Tags : snowflake, data warehousing, cloud computing, best practices, data processing
     Snowflake
By: SnowFlake     Published Date: Jul 08, 2016
Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of today’s data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises data centers.
Tags : snowflake, data, technology, enterprise, application, best practices, social media, storage
     SnowFlake
By: SnowFlake     Published Date: Jul 08, 2016
Data today comes from diverse sources in diverse forms and needs to be analyzed by ever more users as quickly as possible. Those demands are stressing the limitations of traditional data warehouses and data platforms. Snowflake has reinvented the data warehouse, making it possible to bring all your business data together in a single system that can support all your users and workloads. Built from the cloud up as a software service, Snowflake eliminates the cost, complexity, and inflexibility of existing solutions while allowing you to use the tools and skills you already have.
Tags : snowflake, data, technology, best practices, solutions, cloud support, storage
     SnowFlake
By: SnowFlake     Published Date: Jul 08, 2016
Jana provides free, unrestricted internet access to more than 30 million smartphone users in emerging markets. With their mCent Android app, Jana shifts the cost of mobile data to brands via sponsored content. When users engage with content in mCent, they earn free mobile data that can be used anywhere on the internet. Jana product managers use data to constantly analyze how well each of the features in mCent performs, to determine which features should be turned on for everyone, and which features should be turned off.
Tags : snowflake, data, technology], mcent, best practices, mobile computing, smartphone
     SnowFlake
By: SnowFlake     Published Date: Jul 08, 2016
CapSpecialty, through its subsidiaries, is a leading provider of specialty insurance for small to mid-sized businesses in the U.S., offering commercial property and casualty, professional liability, surety and fidelity products in all 50 states and the District of Columbia. By working with select partners through a limited distribution model, CapSpecialty’s creative, hardworking team provides personalized service and cultivates mutually successful partnerships to deliver positive results.
Tags : snowflake, capspecialty, insurance, best practices
     SnowFlake
By: SnowFlake     Published Date: Jul 08, 2016
This EMA case study profiles the implementation of the Snowflake Elastic Data Warehouse, a new generation of cloud-based data warehouses, by Accordant Media. This document details significant tangible and intangible improvements and opportunities the Snowflake solution created for the Accordant Media infrastructure and analytical teams.
Tags : snowflake, media, data, technology, cloud-based data, best practices
     SnowFlake
By: SnowFlake     Published Date: Jul 08, 2016
In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
Tags : forrester, enterprise, data, technology, best practices, innovation, security
     SnowFlake
By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
Tags : 
     SAS
By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
Tags : analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
     IBM
By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Tags : 
     SAS
By: Astaro     Published Date: Aug 10, 2009
Previously, the network at the City of Lake Wales didn't possess any firewalls, intrusion protection or web filtering solutions. As a result the network, which is spread out to multiple locations (including law enforcement), was left wide open to security breaches and caused system performance problems as users unwittingly picked up spyware and malware.
Tags : astaro, security, gateway, cisco pix, web filtering, intrusion protection, firewall, firewalls
     Astaro
By: SAS     Published Date: Apr 25, 2017
Organizations in pursuit of data-driven goals are seeking to extend and expand business intelligence (BI) and analytics to more users and functions. Users want to tap new data sources, including Hadoop files. However, organizations are feeling pain because as the data becomes more challenging, data preparation processes are getting longer, more complex, and more inefficient. They also demand too much IT involvement. New technology solutions and practices are providing alternatives that increase self-service data preparation, address inefficiencies, and make it easier to work with Hadoop data lakes. This report will examine organizations’ challenges with data preparation and discuss technologies and best practices for making improvements.
Tags : 
     SAS
By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Tags : 
     SAS
By: Polarlake Reference Data Management     Published Date: Nov 16, 2010
Standards-based integration in financial services. A paper that looks at the promise of XML, Web Services and the Enterprise Service Bus as well as the various XML standards being developed for and used in the Financial Servi
Tags : reference data management, reference data distribution, xml, web services
     Polarlake Reference Data Management
By: PolarLake USA     Published Date: Jun 09, 2008
This paper provides an overview of the benefits and challenges for firms wishing to implement XML-based systems and explores how PolarLake can be used to address these challenges.
Tags : polarlake, xml, reference data management, reference data distribution, xml based integration, financial integrations
     PolarLake USA
By: PolarLake USA     Published Date: Feb 23, 2008
A paper that looks at the promise of XML, Web Services and the Enterprise Service Bus as well as the various XML standards being developed for and used in the Financial Services industry.
Tags : polarlake, enterprise application integration, eai, reference data management, reference data distribution, xml based integration, financial integrations
     PolarLake USA
By: NetApp     Published Date: Jun 27, 2016
"Gartner: Moving Toward the All Solid-State Storage Data Center Are you only using solid-state arrays for your primary data? If so, you’re missing out on the benefits flash can deliver to other applications, such as active archives, data lakes, and big data infrastructures. In this independent report, Gartner finds that progressive I&O leaders are already moving toward an all solid-state data center and predicts that others will soon follow. Read the report here."
Tags : 
     NetApp
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