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This document discusses an agile business intelligence company that focuses on agile BI and data warehousing. They have experience with vertical databases and big data. Located in Nashville, TN, they aim to provide more resources, higher productivity, and faster results through an agile BI development process.
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That’s why we’ve developed Trillium DQ for Big Data -- an integrated product that delivers industry-leading data profiling and data quality at scale, in the cloud or on premises.
In this on-demand webcast, you will learn how Trillium DQ:
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Watch full webinar here: [https://buff.ly/2W925vO]
Enterprise data virtualization has become critical to every organization in overcoming growing data challenges. In this webinar, Forrester analyst Noel Yuhanna, author of The Enterprise Data Virtualization Wave, will address:
Data virtualization market growth trends and momentum
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How leaders like Denodo are differentiating from other vendors in the market
Building Effective Data Visualizations
To gain insights from Business Intelligence, you need to easily see and understand what the data tells you by using data visualizations. While these charts and graphs can be eye candy, without proper context they are nothing more than pretty pictures. Data analysts and business analysts may use a variety of techniques to create the reports that they must generate for the business, and can benefit from a database tool that helps to simplify the task and accelerate the process. Join IDERA's Stan Geiger as he explains how to convey the meaning of data effectively and quickly create useful data visualizations for various audiences within your organization.
ADV Slides: When and How Data Lakes Fit into a Modern Data Architecture
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
RWDG Slides: Operationalize Data Governance for Business Outcomes
Data Governance adds value to the organization when it becomes operationalized and focused on providing improved business outcomes. People in the organization acknowledge Data Governance success when they see results based on how the formalized program operates.
Join Bob Seiner for this month’s webinar, where he will focus on how to operationalize Data Governance based on your program’s purpose and demonstrate value through the communications of business outcomes. New ways to operationalize Data Governance and engage data stewards will be highlighted.
Bob will discuss :
• What it means to operationalize Data Governance
• How to link Data Governance to business outcomes – both good and bad
• Program operations designed to provide business outcomes
• Using the program purpose to demonstrate value
• Ways to engage your stewards through their job function
Accelerate Your Move to the Cloud with Data Catalogs and Governance
As more data is migrating to the cloud, whether to increase efficiencies or take advantage of new capabilities like AI and machine learning tools, organizations are challenged on how to do so in a consumable, trusted fashion. Join us for this webcast and hear how enterprises are using data catalogs to unify approaches across their cloud and on-premises worlds, and prioritize which data assets should be moved to cloud, resulting in a more consumable and trusted data lake and ecosystem.
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- 2. 2 Management Signals Gold Partner Focused on Agile BI and Data Warehousing Experience with vertical databases and big data Located in Nashville, TN More Resources, Higher Productivity, Faster Results Copyright: 2008 | Privacy policy
- 3. Pentaho Project Flow 3
- 4. 4 Agile BI Development Process
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Editor's Notes
- The project development process just provides a high level process flow for typical Pentaho BI implementation. In this process flow, we start with the scoping the project.We then move to the toolset starting with ETL to build a reporting database, OLAP, metadata, and reporting.
- I encourage you to consider the 72 Hour Challenge that Pentaho and Management Signals is offering to Nashville based companies. A chance to have your data, a hosted BI demo environment and professional services from Management Signals.