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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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Modern Cloud Data Platform for Dummies
sponsored by DataBricks
EBOOK: As data continues to grow, you need to figure out how to store data for many different scenarios, including analytical products and machine learning workloads. Historically databases, data warehouses and data lakes have been used. Access this e-book to learn how the cloud is creating opportunities for you to rethink your data management approach.
Posted: 24 Nov 2020 | Published: 24 Nov 2020

DataBricks

Integrating ServiceNow to Customers and Data Warehouses at Fujitsu
sponsored by ServiceNow
CASE STUDY: When Fujitsu started creating their own integrations, they found them expensive to develop and maintain, as well as time-consuming and fraught with impaired performance. Read this detailed case study to discover how Fujitsu eliminated these issues with Perspectium.
Posted: 10 Nov 2020 | Published: 10 Nov 2020

ServiceNow

Data Warehousing for Life Sciences: How to Eliminate Data Silos and Provide Business Value
sponsored by Maven Wave
WHITE PAPER: For some scientists, it can be more challenging to store, integrate, and prepare data than it can be to find the critical insights hidden in it. Access this white paper to learn how Maven Wave, a Google Cloud Partner, can help you leverage the capabilities of cloud data warehouses to accelerate and ease your journey to discovering crucial insight.
Posted: 09 Oct 2020 | Published: 09 Oct 2020

Maven Wave

Modern Data Ops
sponsored by Qlik
WHITE PAPER: Modern data management simply isn’t as effective when you’re building your data architecture at random. Read this white paper to learn how Qlik’s Data Integration Platform uses DataOps to provide you with automated real-time data streaming, cataloging, and publishing, so you can quickly find analytics-ready data.
Posted: 06 Oct 2020 | Published: 06 Oct 2020

Qlik

Screencast: The Instant AWS Data Lake
sponsored by Cazena
VIDEO: While Cazena’s Instant AWS Data Lake seems to offer a lot, but can they follow up on these promises? Watch this short product demo to see how you really can ingest data into an Instant Data Lake in just one click via Cazena’s AWS data management tools.
Posted: 23 Sep 2020 | Premiered: 23 Sep 2020

Cazena

Cazena Launches the Instant AWS Data Lake to Accelerate Enterprise Migration to AWS
sponsored by Cazena
WHITE PAPER: Data lakes are essential for businesses that want to take advantage of their cloud and analytics investments, but they can be difficult and expensive to deploy. Read this post to learn how Cazena is now offering their Instant AWS Data Lake—allow you to deploy an analytics-ready data lake in minutes, with little expertise or resources required.
Posted: 22 Sep 2020 | Published: 15 Sep 2020

Cazena

A Guide to Maximum Data Lake Value
sponsored by Qlik
WHITE PAPER: In this whitepaper, Eckerson Group discusses how to get maximum value from data lakes and how Qlik’s Data Integration Platform helps businesses get the most value out of their data lakes quickly, accurately, and with the agility to respond to shifting business needs. Read this whitepaper to learn how to create data lake value.
Posted: 22 Sep 2020 | Published: 01 Aug 2020

Qlik

The Instant AWS Data Lake
sponsored by Cazena
DATA SHEET: While many enterprises want to embrace the power of technology like AWS and data lakes, it can be a challenge getting your migration or data lake initiatives off the ground. Check out this Cazena turnkey solution, offering instant AWS data lake deployment as an automated SaaS solution with little cloud skills or independent resources required.
Posted: 18 Sep 2020 | Published: 18 Sep 2020

Cazena

Global Investment Bank Transforms Risk-based Forecasting with Instant BI on 500 Billion Transactions
sponsored by Kyvos Insights, Inc
CASE STUDY: If you want to run analytics on your data, you’ve probably loaded that data into something like a data lake and started analyzing it. But making actionable insight in time to act is another story. Check out this case study to learn how a financial institution accelerated their analytics program without sacrificing accuracy or security.
Posted: 11 Sep 2020 | Published: 11 Sep 2020

Kyvos Insights, Inc

Why You Need Data Virtualization
sponsored by TIBCO
VIDEO: Tune into this video to learn about TIBCO’s data virtualization and how it can empower your team and users to access data across the network and query it as if it was centrally located.
Posted: 27 Aug 2020 | Premiered: 27 Aug 2020

TIBCO

The Open Data Lake
sponsored by Qubole
WHITE PAPER: A key part of a forward-thinking data management design is creating an open data lake, which allows you to store a wide variety of disparate data types without committing to a particular vendor or set of features. Read on to learn how and why you can create your own open data lake with Qubole, optimized for analytics, integration, and more.
Posted: 06 Aug 2020 | Published: 06 Aug 2020

Qubole

What is an Open Data Lake?
sponsored by Qubole
WHITE PAPER: With the rise in data lake popularity has come an explosion in the number of data lake vendors and types. Read on to learn why Open Data Lakes are ideal solutions for companies wishing to avoid vendor lock-in, develop additional in-house tools, and want to fully embrace continuous data engineering.
Posted: 05 Aug 2020 | Published: 05 Aug 2020

Qubole

3 Steps to Justify & Reduce the Cost of Your Data Lake
sponsored by Qubole
WHITE PAPER: Now, as business leaders begin to expect returns on data initiatives, it’s important to ensure you can justify and control the spending related to your data lake. Read on to learn 3 ways you can reduce the cost of your data lake and prove its financial value.
Posted: 04 Aug 2020 | Published: 04 Aug 2020

Qubole

The Evolving Role of the Data Engineer
sponsored by Qubole
WHITE PAPER: Instead of preparing static reports for marketers or salesmen, data engineers are finding that their job is changing. Analytics has become a dynamic conversation, and this conversation increasingly involves the cloud, data lakes, and more. Read on to learn more about the new role of the data engineer—and where it’s heading next.
Posted: 04 Aug 2020 | Published: 01 Apr 2020

Qubole

Deep Dive into Data Warehouse Automation
sponsored by Qlik
EBOOK: Access this e-book to learn what the current state of data warehouse automation (DWA) looks like, what DWA can do, and take a look at DWA tools in context with Qlik Compose.
Posted: 03 Aug 2020 | Published: 03 Aug 2020

Qlik

Cloud Data Lake Platforms: Buyer's Guide
sponsored by Qubole
WHITE PAPER: Companies seeking to improve their data architecture and prepare it for the changes that will happen in the coming years, should be seriously considering pairing a data lake with cloud technology. Check out this white paper to learn how cloud data lake architectures offer organizations scalable, agile, and adaptable storage for all their data.
Posted: 03 Aug 2020 | Published: 03 Aug 2020

Qubole

Data Warehouse Automation in Azure for Dummies
sponsored by Qlik
EBOOK: As you make the decision to move your data warehouse from on-premise to the cloud or cloud to cloud, there are many things to take into consideration. Find out how a cloud data warehouse in Azure has advantages in cost, time to value, and the ability to work with real-time data across the organization for analytics.
Posted: 29 Jul 2020 | Published: 29 Jul 2020

Qlik

5 Reasons Qlik and Snowflake Are Better Together: Automating the Data Warehouse for Faster Time-to-Insight
sponsored by Qlik
WHITE PAPER: How does Qlik’s Data Integration Platform enable Snowflake users to speed analytics projects, achieve greater agility and reduce risk – all while fully realizing the advantages of Snowflake’s cloud-built data platform? Download this eBook to find out.
Posted: 28 Jul 2020 | Published: 28 Jul 2020

Qlik

Top Cloud Data Warehouses for the Enterprise: Amazon vs. Azure vs. Google vs. Snowflake
sponsored by Qlik
WHITE PAPER: Modern cloud architectures combine three essentials: the power of data warehousing, flexibility of Big Data platforms, and elasticity of cloud at a fraction of the cost to traditional solution users. But which solution is the right one for you and your business? Download the e-book to see a side-by-side comparison.
Posted: 28 Jul 2020 | Published: 28 Jul 2020

Qlik

Data Warehouse Modernization: From Monolith to Modular
sponsored by Talend
WHITE PAPER: Access this e-book to learn why data warehouse modernization in the cloud is needed in today’s enterprises, discover the characteristics and benefits of the cloud-based data warehouse, and plan next steps for implementation with AWS and Talend Stitch Data Loader.
Posted: 17 Jul 2020 | Published: 17 Jul 2020

Talend

The Rise of the Cloud Data Lake Engine: Architecting for Real-Time Queries
sponsored by Dremio
WEBCAST: As cloud data lakes have become more and more popular, a similar number of cloud data lake engine solutions have popped up around them. But what is a data lake engine? Check out this webinar featuring the Eckerson Group to learn about the rise of the cloud data lake engine and how it could benefit your company.
Posted: 14 Jul 2020 | Premiered: Jul 14, 2020

Dremio

Ensuring an Open Data Lake Future
sponsored by Dremio
WHITE PAPER: One of the advantages of building a data lake is that your organization has the potential to keep your basic data architecture the same, even as you switch BI and analytics tools around. Read on to learn how to avoid data lake vendor lock-in and ensure your data lake can serve your organization for years using its open architecture.
Posted: 14 Jul 2020 | Published: 14 Jul 2020

Dremio

Building an Efficient Data Architecture for Maximum Productivity
sponsored by Dremio
WEBCAST: Productivity is perhaps best understood as a combination of efficiency and effectiveness: doing the right things at a minimal cost. Watch this webinar to learn how you can use a cloud data lake to create a data architecture that is as productive as possible.
Posted: 13 Jul 2020 | Premiered: Jul 13, 2020

Dremio

Optimize Your Cloud Data Lake Query Performance and Economics
sponsored by Dremio
WEBCAST: Inefficient query workload management creates poor performance and slows down your cloud data lake. Watch this Dremio webinar to learn how you can optimize your data lake query performance and reduce wasteful spending in your cloud infrastructure.
Posted: 18 Jun 2020 | Premiered: Jun 18, 2020

Dremio

How a Self-Service Semantic Layer for Your Data Lake Saves You Money
sponsored by Dremio
WEBCAST: Building a data lake is a step in the right direction when modernizing data infrastructure, but it’s not the only step necessary towards making your big data sets useful. Watch this webinar to learn how to build a self-service semantic layer that lets your analysts and engineers manage their own projects without relying on IT—freeing them for more.
Posted: 11 Jun 2020 | Premiered: Jun 11, 2020

Dremio
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