Latest Stories In: Panoply Blog: Data Management, Warehousing & Data Analysis | Data Warehousing (2)

As we speak the future of cloud computing is being duked out. Amazon and Google, as well as Microsoft, Snowflake, and a few others, offer multiple cloud solutions for ...
Data Warehousing
Redshift vs. BigQuery: The Full 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
The competition within the data analytics space is heating up, with all the players aim to make data collection and analysis more manageable. One of the leading ...
Data Warehousing
Top 5 BigQuery Alternatives: A Challenge of 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 Salesforce, ...
Data Warehousing
5 Reasons You Need a Data Warehouse
You need a data warehouse, but a data warehouse is worth nothing if it doesn’t contain - data! The first step to start seeing benefits from your data warehouse is to ...
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 for your business to succeed - is to build or buy a data warehouse. How ...
Data Warehousing
How to Estimate Cloud Data Warehouse Costs and Pricing Comparison
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 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 source, so it’s a ...
Databases
MySQL as a Data Warehouse: is it really your best option?
An analytics database (usually read-only) serves as the data repository used for the sole purpose of analytics in an organization. Since its primary aim is business ...
Data Warehousing
Top 4 Analytics Databases (SQL & NoSQL): The Best and the Fastest
So. You run a business that lives on data. You’ve got a SQL-style relational database or two up and running to store your data, but your data keeps growing and you’re ...
Data Warehousing
Redshift vs Postgres: Differences in Performance, Functions, and Cost
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 of ...
Data Warehousing
Key Data Warehouse Trends Every Analyst Should Know
Cloud-based data warehouses are quickly replacing their on-premise counterparts, allowing organizations with big data needs to potentially save millions in costs. Amazon ...
Data Warehousing
Setting Up A Cloud Data Warehouse: A Schema To SQL Tutorial
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
In today's world, data warehouses are the foundation of business intelligence.
Data Warehousing
How to Successfully Implement 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 you need one? How can a data warehouse work for you and your business? We’ll look into the basics of a data ...
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

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