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      • denodo
        • The Denodo Platform


          All the benefits of data virtualization including the ability to provide real-time access to integrated data across an organization’s diverse data sources, without replicating any data.

          The Denodo Platform offers the broadest access to structured and unstructured data residing in an enterprise, big data, and cloud sources in both batch and real-time, exceeding the performance needs of data-intensive organizations.

          Denodo Cloud Solutions

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        • Unleash the power in your data

          Reimagine the realm of possibility. Microsoft data platform solutions release the potential hidden in your data - whether it's on-premises, in the cloud, or at the edge - and reveal insights and opportunities to transform your business.Why use the Microsoft data platform

          Fast and Agile
          Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.

          Built-in Intelligence
          The Microsoft data platform brings AI to your data so you gain deep knowledge about your business and customers like never before. Only Microsoft brings machine learning to database engines and to the edge, for faster predictions and better security.

          Enterprise Proven
          Bring your business to scale while trusting that your security, performance, and availability needs are covered—with an industry-leading total cost of ownership.
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        • How your business can get smarter



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          Gain greater insights and innovate faster


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          Control of your cloud should belong to you. SoftLayer can help.


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          Build the foundation for cognitive business



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          Transform your business with our expertise
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        • looker is more than data analytics software, a full platform.

          Bring Data to every part of your business.

          Data Everywhere

          Deliver data directly in the tools your teams use everyday. Bring data into every action and every decision - in Slack, in Salesforce.com, even in your custom applications. Or build new applications on top of the Looker Data Platform to truly customize the experience for your business.

          Analytics evolved

          We believe everybody should have access to reliable analytics to make data-driven decisions. And to deliver on this promise, we had to re-imagine and rebuild how analytics are done from the ground up.
      • snowflake
        • To support today’s data analytics, companies need a data warehouse built for the cloud.


          One that offers rapid deployment, on-demand scalability, and compelling performance at significantly lower cost than existing solutions. Snowflake on Amazon Web Services (AWS) represents a SQL data warehouse built for the cloud.

          Snowflake’s unique architecture natively handles diverse data in a single system, with the elasticity to support any scale of data, workload, and users.
      • striim-platform
        • Striim Enables Modern Cloud Architecture


          Striim is a patented, enterprise-grade platform that offers continuous real-time data ingestion, high-speed in-flight stream processing, and sub-second delivery of data to cloud and on-premises endpoints.

          Striim continuously delivers data where you need it, when you need it, and in the correct format to be immediately available to high-value operational workloads.
      • semarchy
        • Intelligent MDM™


          Semarchy is the Intelligent MDM company. Its xDM platform is an innovation in multi-vector Master Data Management (MDM) that leverages smart algorithms and material design to simplify data stewardship, governance, and integration.

          It is implemented via an agile and iterative approach that delivers business value almost immediately and scales to meet enterprise complexity.
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        • Google Bigquery


          A fast, highly scalable, cost-effective, and fully managed cloud data warehouse for analytics, with built-in machine learning.

          BigQuery is Google's serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator.
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        • Connect to More Data


          Connect to data on prem or in the cloud—whether it’s big data, a SQL database, a spreadsheet, or cloud apps like Google Analytics and Salesforce.

          Access and combine disparate data without writing code. Power users can pivot, split, and manage metadata to optimize data sources. Analysis begins with data. Get more from yours with Tableau.
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Data Virtualization and the Logical Data Lake

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Alex Gonzalez
Tuesday, 20 November 2018 / Published in Data Virtualization
Data lakes are setup as large physical storage repositories. Data from all kinds of sources is copied into this repository, which is commonly developed with Hadoop. But is this centralized storage approach really feasible and practical? Additionally, the users of data lakes are data scientists and other investigative users.

Data Virtualization and Database Migration and Acceleration

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webadmin
Wednesday, 20 June 2018 / Published in Data Virtualization
Not every organization is happy with the reporting and analytical performance of their data warehouse environment. One customer indicated that some of their online reports take at least ten minutes to complete. Ten minutes is a long time if you have to wait for a report to show up on your screen.

Data Virtualization and the Logical Data warehouse

  • 0
Alex Gonzalez
Tuesday, 19 June 2018 / Published in Data Virtualization
The classic data warehouse architecture, consisting of a chain databases and ETL processes, has served may organizations well the last twenty-five years; see Figure 1. But is it the still the right architecture?

Data Virtualization and the 360-Degree Customer View

  • 0
Alex Gonzalez
Friday, 15 June 2018 / Published in Data Virtualization
Which organization doesn’t want a perfect 360-degree view of their customers? One click on a button, and everything that’s known about a customer is shown. Every organization wants this. But how? In this second article in a series on use cases of data virtualization we describe how this technology can help create this perfect view.

 

 

“Genius is making complex ideas simple,
not making simple ideas complex”

Albert Einstein

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