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Data Warehouse Architectures

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ALSO CALLED: Tactical Data Warehouse Development
DEFINITION: An integrated set of products enabling the extraction and transformation of data to be loaded into a database for end-user analysis and reporting.
Data Warehouse Architectures Reports
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Cloud Data Warehousing With Amazon Redshift
sponsored by Informatica
EBOOK: Access this e-book to learn about Amazon Redshift, a powerful public cloud data warehouse that is well suited to support modern cloud analytics in the worlds of big data and IOT— and can aggregate insights from across your entire infrastructure.
Posted: 15 May 2020 | Published: 15 May 2020

Informatica

Optimizing Snowflake
sponsored by Matillion
WHITE PAPER: The Snowflake cloud data warehouse seems to offer a lot of competitive advantages for your business, but it can difficult to understand what benefits it offers, what differentiates it from competitors, and how your business should be using it. Read this e-book to gain an in-depth understanding of Snowflake and how your business should be using it.
Posted: 17 Feb 2020 | Published: 17 Feb 2020

Matillion

Modernize Your Data Warehouse
sponsored by Matillion
WHITE PAPER: Modernizing your data warehouse infrastructure is no easy task, as finding a database that’s scalable, secure, and accessible can be a challenge. Read this guide to see what considerations you should be making as you look to modernize your data warehouses and learn how you can deal with some of the problems that are common along this journey.
Posted: 17 Feb 2020 | Published: 31 Dec 2019

Matillion

Optimizing Amazon Redshift
sponsored by Matillion
EBOOK: Amazon has stepped in and supplied a quality cloud data warehouse solution with Amazon Redshift, but businesses can still face challenges including difficulty querying data, loading data into Redshift inefficiently, and more. Read this e-book by Matillion to find out how to procure the most value from your Amazon Redshift data warehouse.
Posted: 14 Feb 2020 | Published: 14 Feb 2020

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

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

One of the potential uses for Dremio
sponsored by Dremio
DATA SHEET: Most modern databases aren’t made up of one single source. Instead, many organizations find themselves storing data across disparate sources. This structure can make it difficult to integrate your data without losing quality and efficiency. Open this guide to read about how Dremio allows you easily work with two sources at once.
Posted: 24 Jan 2020 | Published: 24 Jan 2020

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

Bring the 21st Century into Your Analytics Environment
sponsored by Incorta
WHITE PAPER: In this paper, discover how to implement a successful analytics modernization project. Explore 3 logical approaches for migrating to a new analytics environment, and learn how to augment the capabilities of your existing data warehouse.
Posted: 17 Jul 2019 | Published: 17 Jul 2019

Incorta

Modern Data Warehousing: Analytics without the Modeling
sponsored by Incorta
RESEARCH CONTENT: This Eckerson Group report details 3 new approaches to data-driven environments that are replacing traditional approaches of data warehousing. Learn how the downsides of traditional data warehousing are being tackled by these new methods and with less need for data modeling.
Posted: 24 Apr 2018 | Published: 30 Sep 2017

Incorta

Optimising the data warehouse
sponsored by ComputerWeekly.com
ANALYST REPORT: Analysts Clive Longbottom and Rob Bamforth discuss approaches to optimising datawarhouses for big data.
Posted: 17 Apr 2014 | Published: 17 Apr 2014

ComputerWeekly.com

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

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

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

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

TechTarget Solution Spotlight: Big Data Challenges & Pitfalls
sponsored by IBM
EGUIDE: Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.
Posted: 05 Dec 2014 | Published: 05 Dec 2014

IBM

HTML5 Rewrites the Rule on Web Development
sponsored by SearchDataManagement
EBOOK: This special edition of Business Information explores how upgrades enterprises' ability to create robust Web and mobile applications and rewrite the rules of development.
Posted: 04 Sep 2014 | Published: 04 Sep 2014

SearchDataManagement

How Eliminating SAN from your Oracle Data Warehouse can Increase Performance
sponsored by Dell, Inc. and Fusion-io
CASE STUDY: In this paper, a business intelligence provider for the semiconductor industry eliminated SAN from its Oracle data warehouse to increase their average performance 5 to 10 fold.
Posted: 29 May 2014 | Published: 29 May 2014

Dell, Inc. and Fusion-io

Solution Spotlight: The Future of Data Warehousing Infrastructure and Architectures
sponsored by IBM
EGUIDE: This e-guide examines why the data warehousing appliance business case must trump traditional tools for business to address needs such as costs, flexibility and agility while eliminating key technology silos.
Posted: 22 May 2014 | Published: 22 May 2014

IBM

Data warehouse augmentation: the queryable data store
sponsored by IBM
WHITE PAPER: This white paper highlights how organizations can leverage big data to solve business challenges. It focuses on query-able data warehouses as a way to reduce costs and gain business insights. Discover how you can free up your data warehouse from processes slowing it down and disrupting revenue goals.
Posted: 06 May 2014 | Published: 31 Dec 2013

IBM

Game Changing Performance with SAP In-Memory
sponsored by Cisco and SAP
EGUIDE: SAP HANA promises to be a game changer in the business intelligence (BI) and analytics space. However, some organizations remain skeptical of the benefits of investing in yet another technology to accelerate analytics. This e-guide puts those doubts to rest with an in-depth look at how to build a business case for in-memory computing and SAP HANA.
Posted: 30 Apr 2014 | Published: 30 Apr 2014

Cisco and SAP

Building a Trusted SAP HANA Data Center
sponsored by Cisco and SAP
WHITE PAPER: In this comprehensive resource, explore a variety of hardware appliances that are SAP-approved as platforms for HANA. Discover how these appliances from Cisco, EMC, and VCE can benefit your SAP HANA implementation, and evaluate how they stack up against the five essential characteristics of a SAP HANA hardware platform.
Posted: 22 Apr 2014 | Published: 22 Apr 2014

Cisco and SAP

7 must-have capabilities of big data DBMS
sponsored by IBM
WHITE PAPER: Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
Posted: 07 Apr 2014 | Published: 28 Feb 2014

IBM
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