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Data Warehouses

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ALSO CALLED: Data Stores, Datawarehousing, Data Ware-house, Datawarehouse, Data Warehousing, Knowledge Warehouse, Dataware House
DEFINITION: A knowledge warehouse is the component of an enterprise's knowledge management system where knowledge is developed, stored, organized, processed, and disseminated. (A knowledge warehouse can also be called a data repository.) According to consultant and author Stanley Davis, "...information is about taking data and putting it into a meaningful pattern. Knowledge is the ability to use that information."  … 

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Data Warehouses Reports
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Essential Guide to Data Lakes
sponsored by Matillion
EBOOK: Since the term “data lake” was first introduced in 2010, data lakes and various similar solutions have exploded in popularity. But businesses looking into data lakes may be asking themselves: What is a data lake? And how can we use one? Read this e-book to learn the essentials of data lakes and how to derive value from them.
Posted: 13 Feb 2020 | Published: 13 Feb 2020

Matillion

Accelerate Time to Insight
sponsored by Matillion
WHITE PAPER: By automating part or all of the ETL process, your data scientists can be left to focus on higher level projects, not manage menial, repetitive tasks. Read the attached e-book to learn the essential steps you should consider as you automate your ETL and data ingestion processes, as well as questions to ask AND five must-have automation functions.
Posted: 12 Feb 2020 | Published: 24 Dec 2019

Matillion

Optimizing Google BigQuery: A Real-World Guide
sponsored by Matillion
EBOOK: Optimizing your data warehouse should be one of your company’s top priorities. Read this e-Book to learn how to properly structure, query, and manage Google’s BigQuery data warehouse.
Posted: 11 Feb 2020 | Published: 31 Dec 2019

Matillion

Top 5 Data Science Industry Predictions for 2020
sponsored by Dremio
WEBCAST: The new decade promises to be a big one for new technology developments; what, exactly, does 2020 hold for the data science industry? Watch this webinar to learn 5 predictions for data science in 2020, including changes to the IoT, big data architecture, cloud data lakes and warehouses, and more.
Posted: 07 Feb 2020 | Premiered: Dec 17, 2019

Dremio

BI On Big Data: What Are Your Options?
sponsored by Dremio
EBOOK: The advent of big data changed data analytics, but not necessarily for the better. Right now, companies often struggle to turn the massive amounts of data that they’ve collected into useful, unified data sets. Download this ebook by Dremio to examine some of the challenges and trends in the data management world right now.
Posted: 06 Feb 2020 | Published: 15 Nov 2018

Dremio

Dremio Architecture Guide
sponsored by Dremio
DATA SHEET: Having quality data architecture can allow your organization to stop managing your data and start using it, but achieving this is often easier said than done. Read this Dremio architecture guide to learn how their data lake engine can help you easily navigate and use your data lake.
Posted: 06 Feb 2020 | Published: 22 Feb 2019

Dremio

Using Data-driven Permissions to Secure Your Data Lake
sponsored by Dremio
WHITE PAPER: When managing a data lake, it is important to make sure that this data is secured for a variety of reasons.How does your business implement data lake security features? Additionally, how customizable are these security tools?Read this white paper and learn how you can create your own data lake permissions with Dremio.
Posted: 03 Feb 2020 | Published: 03 Feb 2020

Dremio

Using a Data Lake Engine to Create a Scalable Data Pipeline
sponsored by Dremio
WEBCAST: Your organization should have a data pipeline that can access all of your data stored across one or more disparate sources. But how do you know if your pipeline is efficient and cost-effective? Watch this webcast to learn how you can create your own, scalable data pipeline using the data lake engine Dremio.
Posted: 29 Jan 2020 | Premiered: Oct 23, 2019

Dremio

Querying Hive 3 Transactional Tables with Dremio
sponsored by Dremio
DATA SHEET: Making effective use of your Hadoop data warehouses is an essential feature of any data integration or data management tool. Read this guide and find out how the data lake engine Dremio can help you maximize what you are able to get out of Hive 3 and its advanced transactions.
Posted: 28 Jan 2020 | Published: 21 Jan 2020

Dremio

Interactive Data Science and BI on the Hadoop Data Lake
sponsored by Dremio
WEBCAST: Simplifying your data pipeline and reducing your reliance on complicated IT processes is critical—not only make it easier to access your information, but also to help manage future changes to your data architecture, like moving to the cloud.Watch this webcast to learn how Dremio can interact with a variety of data repositories.
Posted: 27 Jan 2020 | Premiered: Jan 27, 2020

Dremio

Dremio Deployments Guide
sponsored by Dremio
DATA SHEET: Scalability, query speed and quality, and cross-database search abilities are all essential features of any data integration software. Efficient data management allows your business to use your existing data storage in a more effective way.Read more about how Dremio’s data lake engine allows your business to start optimizing your data lake usage.
Posted: 27 Jan 2020 | Published: 30 Nov 2018

Dremio

Fundamental Considerations of Moving to the Cloud Data Lake
sponsored by Dremio
WHITE PAPER: Moving data to the cloud could result in downtime and other issues. However, moving to the cloud offers several advantages including scalable storage, centralizing data, and more.Read this article to learn the essential considerations you must make when deciding if you should switch your business to the cloud, and the ways in which Dremio can help.
Posted: 24 Jan 2020 | Published: 18 Dec 2019

Dremio

Simplifying Data Pipeline
sponsored by Dremio
WEBCAST: When it comes to your data pipeline, you want to optimize your data queries and let your analysts to focus on what they do best—analyze data, not retrieve it. Watch this webcast in which Dremio explains their Data Lake Engine and how it can organize your data, customize its curation, and track its linage while removing barriers to query speed.
Posted: 24 Jan 2020 | Premiered: Jan 24, 2020

Dremio

A Computer Weekly buyer's guide to big data
sponsored by ComputerWeekly.com
EBOOK: Companies are switching on to the advantages of big data. In this 13-pagebuyer's guide, Computer Weekly looks at data analytics, how to get value out it and the benefits of process mining.
Posted: 06 Jun 2018 | Published: 06 Jun 2018

ComputerWeekly.com

Big Data Containers Gain Wider Appeal in System Deployments
sponsored by SearchDataManagement
EBOOK: Big data containers running in Kubernetes clusters are a new option for deploying Hadoop, Spark and other platforms. Read this handbook for insights into the potential benefits of putting big data systems in containers and offers advice on how to manage containerized environments.
Posted: 29 Jul 2019 | Published: 29 Jul 2019

SearchDataManagement

Managing the Big Data Onslaught
sponsored by SearchDataManagement
EZINE: In this expert e-zine, explore how big data management systems can pay big dividends for companies willing to break traditional business patterns and divert their data lakes into new revenue streams.
Posted: 02 Oct 2017 | Published: 02 Oct 2017

SearchDataManagement

Cloud-Based BI and Analytics Systems Start Taking a Firmer Shape
sponsored by SearchBusinessAnalytics
EBOOK: In this expert handbook, explore the current state of cloud BI and analytics adoption and examine how companies like Lenovo are migrating big data and predictive analytics to the AWS cloud.
Posted: 24 Aug 2017 | Published: 29 Jun 2017

SearchBusinessAnalytics

Approaches to SAP HANA Adoption: ERP, Business Intelligence, and More
sponsored by Red Hat
EGUIDE: In this expert e-guide, we explore how organizations across a variety of industries are leveraging SAP's in-memory platform to enhance reporting, analytics, self-service BI, ERP transformation, mobility, and more. Discover which approach to SAP HANA – on premise, in the cloud, or via mobile apps – is best for you.
Posted: 28 Mar 2017 | Published: 17 Mar 2017

Red Hat

Big Data Poses Weighty Challenges for Data Integration Best Practices
sponsored by SearchDataManagement
EBOOK: Organizations that deploy big data platforms are finding that they also need an upgraded data integration framework to meet rising demands. In this expert handbook, uncover advice on how to navigate the demands of big data architectures, high volume data warehousing, and data lakes by updating your data integration strategy.
Posted: 15 Mar 2017 | Published: 28 Mar 2017

SearchDataManagement

How Embedded BI Programs Turn Analytics Into Action Fast
sponsored by SAP
EGUIDE: In this expert e-guide, you'll discover 10 best practices for implementing a fast new BI platform or improving your existing one. Then, learn the story of how Urban Airship Inc. developed an embedded analytics program of their own.
Posted: 02 Nov 2016 | Published: 02 Nov 2016

SAP

Data Warehousing Is Improved By Integrating Big Data Capabilities
sponsored by IBM
EGUIDE: Both big data and data warehousing systems experience increased performance when they work together. In this expert e-guide, uncover the importance of data warehouses' storage and organization abilities, and learn how they can be combined with the increased analytics power of big data systems to provide improved insights.
Posted: 20 Oct 2016 | Published: 20 Oct 2016

IBM

Visualizing the Future of Big Data and Predictive Analytics
sponsored by SearchDataManagement
EZINE: Explore how predictive analytics and data visualization can help you make sense of your analytics, how a security expert/cryptographer is using big data analytics and the cloud to make open source code safe for app developers and off-limits to hackers, and more.
Posted: 06 Oct 2016 | Published: 06 Oct 2016

SearchDataManagement

Multifaceted IoT Data Management Demands Vigilance, Flexibility, Upgrades
sponsored by SearchDataManagement
EBOOK: This handbook on IoT data management practices examines the challenges that must be addressed on the road to effective IoT management. It advises organizations to bulk up their IT architecture before tackling massive amounts of IoT data, proposes four critical steps in formulating all-encompassing IoT data management practices, and more.
Posted: 23 Aug 2016 | Published: 23 Aug 2016

SearchDataManagement

Hadoop Deployments: Maximizing Efficiency for Big Data Analytics
sponsored by IBM
EGUIDE: Many businesses recognize Hadoop as a premier cloud app framework, but they still don't know how to deploy Hadoop properly or prepare for its pitfalls. In this e-guide, we identify and explore some of the biggest Hadoop challenges. Find out how to resolve these issues and unlock the benefits of big data analytics.
Posted: 28 Jul 2016 | Published: 26 Jul 2016

IBM

The Future of Data Warehousing Infrastructure and Architectures
sponsored by IBM
EGUIDE: This e-guide examines how a shift from traditional data warehousing (DW) appliances to an infrastructure that combines traditional DWs with big data technologies offers new opportunities for businesses to address needs such as costs, flexibility and agility while eliminating key technology silos.
Posted: 13 Jul 2016 | Published: 11 Jul 2016

IBM
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