Data has become the lifeblood of business and data warehouses are an essential part of that. But knowing which data warehouse makes sense for your business can be tricky.

Data Warehousing

Snowflake Vs Redshift: Data Warehouse Comparison

Recently, Panoply held a webinar with Nathan Patrick Taylor, the CIO of the Symphony Post Acute Network. The focus of the webinar was on what Nathan calls the ...

Data Warehousing

Webinar Recap: The Scalability Paradox With Nathan Patrick Taylor

We now generate more data in an hour than we did in an entire year just two decades ago. The same old tools simply don't cut it anymore. That's why Amazon came out ...

Data Warehousing

Top 5 Redshift Alternatives: Balancing Cost And Complexity

Until recently, data warehouses were largely the domain of big business. With a data warehouse, you could consolidate and analyze vast amounts of information, deriving ...

Data Warehousing

Understanding Data Warehouse-as-a-Service Benefits Today And Tomorrow

Some people think you only need a data warehouse if you have huge amounts of data.  That used to be true. It's not anymore. These days, any business that uses ...

Data Warehousing

5 Reasons You Need A Data Warehouse

You need a data warehouse, but should you take the traditional ETL route or opt for a modern ELT approach? When it comes to usability, there's no question: ELT data ...

Data Warehousing

Views: The Key To A Successful ELT Data Warehouse

Why Your Shopify Data Needs a Warehouse A data warehouse is a place to store data solely for the purpose of analysis. That may not seem that interesting—and it isn’t—but ...

Data Warehousing

Shopify Business Intelligence And Data Warehousing Step-by-Step

Your company has reached the point where the only way to analyze your data on the scale needed to help your business succeed is to build or buy a data warehouse. How do ...

Data Warehousing

How To Estimate Cloud Data Warehouse Costs And Compare Pricing

Salesforce is a powerful tool for managing your sales processes. But if you're serious about using your business data to drive your organization, at some point you're ...

Data Warehousing

How To Build A Data Warehouse For Salesforce Without Breaking The Bank

MySQL databases MySQL is one of the more popular flavors of SQL-based databases, especially when it comes to web applications. Owned by Oracle, MySQL is free and open ...

Databases

MySQL As A Data Warehouse: Is It Really Your Best Option?

 It’s Elementary What’s an analytics database? Is it the analytical, meticulous Sherlock Holmes version of a database? In a way, it is. Just as the great detective ...

Data Warehousing

Analytics Databases: The Best And The Fastest

Contemporary society generates, uses, and retains amounts of data that would be considered huge — if not unimaginable — by any earlier standard. Yet IDC expects the size ...

Data Warehousing

Dealing With Data: Key Data Warehouse Trends For 2019

Amazon Redshift is a massively popular data warehouse service that lives on their AWS platform, making it easy to set up and run a data warehouse. Redshift clusters can ...

Data Warehousing

Set Up Your First AWS Redshift Database: A Schema To SQL Tutorial

The ETL approach has been the traditional approach for data warehousing and analytics. ELT is the new kid on the block. Beyond the differences between ETL vs ELT, how ...

Data Warehousing

Improving And Shortening The ETL Process With ELT

Simply defined, a data warehouse is a system that pulls together data from many different sources within an organization. On top of this system, business users can ...

Data Warehousing

The Many Use-Cases Of A Data Warehouse

Data mining is the process of deriving business insights from large or complex data sets, while data warehouses are typically the storage and processing infrastructure ...

Data Warehousing

How Your Data Warehouse Can Make Data Mining Easier And More Efficient

Data. It’s the word that that results in billion dollar valuations, that drives industries, that creates new revenue streams, and that has introduced a “New Economy” ...

Data Warehousing

Why ETL Software And Data Warehousing Are Foundational To Modern Analytics

So you’ve heard of a data warehouse, but now what? Do I need one? How can a data warehouse work for me and my business? We’ll look into the basics of a data warehouse, ...

Data Warehousing

What Is A Data Warehouse? A Tutorial For Beginners

We’re really beginning to experience another industrial revolution. That is, we’re actively entering into the ‘Age of Data.’ As you look at your own life, business, and ...

Data Warehousing

Data Warehouse Examples: Applications In The Real World

As a company formed by data engineers and analysts, we at Panoply love data in all its forms! But when you’re working with different types of data storage and processing ...

Data Warehousing

How To Tell The Difference Between A Database And A Data Warehouse

Data as a Service (BDaaS) is a reality today. Increasing cloud usage, and new cloud services, mean you can set up data infrastructure that just works—without maintaining ...

Data Warehousing

Data Platform As A Service: IaaS, PaaS And SaaS

Just ten years ago, even the most advanced analytics professionals only had to manage a handful of data sources. But data volume, velocity, and variety are now ...

Data Warehousing

Data Warehousing Concepts: Everything You Need To Know In 4 Minutes

Humans are visually-motivated. When we see a movie, we’re drawn to the most beautiful and exotic settings, the most striking and recognizable actors, the biggest ...

Data Warehousing

Business Intelligence And Data Warehousing Meet: Magic Ensues

As an analyst who deals with data from many data sources daily, you might find yourself as the go-to source for information about business intelligence in your office. ...

Data Warehousing

9 Things Your Boss Wants To Know About Data Warehousing

Good Business Intelligence (BI), allows your organization to query data obtained from trusted sources and use the answers to gain a competitive edge in your industry. ...

Data Warehousing

Data Warehouse Design: The Good, The Bad, The Ugly