With companies of all sizes looking to gain value from their data, cloud data warehouses are all the rage. They’re a critical component of any modern data stack, as they ...

Data Warehousing

Snowflake Vs BigQuery: Comparing Pricing, Performance & More

You've been thinking for a while that it's time to level up your data solution. You could keep muddling by. But you're spending too much time grinding through individual ...

Data Warehousing

Data Warehouse Selection Criteria: How To Choose The Right Storage

You want to get more out of your Salesforce data—and who doesn't? So it’s time to boot up your favorite BI tool, hook it up to Salesforce, and rock out.  That's a fine ...

Data Management

Why You Absolutely Shouldn't Connect Salesforce Straight To A BI Tool

Although Snowflake hasn't generated $1b in annual revenues (yet), the company continues to hog the headlines for potentially delivering a historic payout to Silicon ...

Databases

Top 5 Snowflake Alternatives: Complexity And Costs Go Head-to-Head

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

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 ...

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 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?

 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 observed and analyzed ...

Data Warehousing

Analytics Databases: 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

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

There is a misconception that you only need a data warehouse if you have huge amounts of data. This just isn’t true. Businesses of all sizes can benefit greatly from ...

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