Data flows like never before, and with so much at our disposal, making the best use of it is a challenge. Many businesses use Google Sheets for everything from content ...

Data Warehousing

6 Use Cases for Connecting Google Sheets to Panoply

A recent IDC DataSphere forecast report predicts that the compound annual growth rate of global data creation and replication will reach 23% between 2020 and 2025.

Data Warehousing

10 Benefits and Use Cases for A Data Warehouse

Sometimes, the only thing standing between an analyst and a catastrophic management decision could be knowing the difference between the tables:

Data Warehousing

Data Warehouse Naming Conventions Guide

The enterprise data warehouse (EDW) is a fairly new entrant into the universe of databases mainly optimized for reading operations. By structuring data in a rigid ...

Data Warehousing

What Does a Modern Data Warehouse Do?

One of the significant challenges in handling data comes from the massive amount of data your organization is most likely generating constantly. Having the ability to ...

Data Warehousing

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

Even the most potent database is still prone to the terrifying error any database system can face: query bottlenecks.

Data Warehousing

Redshift Query Queues: The Complete Guide

Google Cloud Platform has long been the cloud provider of choice for web analytics, with the impressive BigQuery being Google's massively parallel processing (MPP) ...

Data Warehousing

BigQuery Data Types Examined & Explained

A data warehouse aims to make sense of a specific subject over time by analyzing historical data. This system, also called the decision-making support system, can tackle ...

Data Warehousing

Incremental Loading: The Smarter Way to Update Data

Google BigQuery is a serverless data warehouse solution that aims to be cost-effective and highly scalable, allowing businesses to analyze large amounts of data with ...

Data Warehousing

9 Most Useful BigQuery SQL Functions for Efficency

 

Data Warehousing

How to Convert/Translate PostgreSQL Queries Into BigQuery SQL

Data warehouses are becoming increasingly popular as many businesses, nonprofits, and municipal organizations realize the value of storing their current and historic ...

Data Warehousing

Can PostgreSQL Work as a Data Warehouse?

Imagine that you are in a meeting with a potential investor, and they ask you for specific information about your company to help them decide whether to invest in your ...

Data Warehousing

7 Signs You Need a Data Warehouse

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