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Anybody who hangs out in IT or data science circles will invariably become familiar with the acronym GIGO. GIGO stands for “garbage in, garbage out” (or “good in, good ...
Best Practices
Less GIGO, more KNOW: Do's and Don't's in Data Collection and Distribution
What is data management? Data management is a broad and ambiguous concept. The Global Data Management Community (DAMA International) defines it as “the development of ...
Data Management
12 Data Management Tools & 4 Ways of Thinking About Data Management
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
According to Gartner, more than 50% of marketing organizations use a data management platform (DMP), either directly or through an agency partner, and a vast majority of ...
Data Stack
What to do When Data Management Platforms are not Enough
Data preparation, part of the data management process, involves collecting raw data from multiple sources and consolidating it into a file or database for analysis. Data ...
Data Stack
Top Data Preparation Tools for Your Business
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
Data processing and analysis can’t happen without data profiling—reviewing source data for content and quality. As data gets bigger and infrastructure moves to the ...
Data Management
What is Data Profiling? Process, Best Practices, Top 6 Tools
When we say “big data”, many think of the Hadoop technology stack. Is this the big data stack?
Data Management
Big Data Stack in Big Data Analytics | Panoply Blog
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
Both business and tech analysts agree that a capacity for advanced analytics is becoming mission-critical to the basic viability for all companies. While some believe ...
Being Data-Driven
Becoming an analytics driven organization: challenge accepted
Build vs. Buy—tale as old as time, song as old as…"I need that analysis yesterday!"
Analytics Leadership
Cloud Data Warehouse Costs: a Build vs. Buy Analysis
This series of posts analyzes how specific databases stack up against each other. We've covered the following comparisons so far: Cassandra vs. MongoDB Redis vs. MongoDB ...
Databases
PostgreSQL vs. MongoDB
International Women's Day is a day when women are recognized for their achievements without regard to divisions, whether national, ethnic, linguistic, cultural, economic ...
Analytics Leadership
Women Who Kick @$$ in Data Analysis, Science and Engineering
ETL. It should be fairly straightforward, right? We extract data, transform it as needed, and load it into the target application. But like the recipe for the perfect ...
ETL/ELT
The Worst Advice We’ve Ever Heard About ETL
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
Your company sits on an immense treasure trove of data, but tapping this data and accessing its value can be a challenge.
Data Stack
Get Stacked: Designing a High Performance, High ROI Data Stack
As a member of the marketing team you already know that data is power. However, it’s not always easy to get, and even when you can get the data you need, it’s not always ...
Data Analysis
A Marketing Professional's Guide to Collecting Twitter Data
The data industry continues to impress with new tools being released every month. While we all love choices, the current data stack landscape can be overwhelming. We’re ...
Data Stack
Top Tools For A Dangerously Effective Data Stack
Data warehouses and data lakes are two different types of data storage repositories. Data warehouses integrate data from various sources and structures them for business ...
Data Warehousing
Key Differences Between a Data Warehouse and a Data Lake
The future of any successful enterprise will hinge on its ability to harness and use massive amounts of data currently available, to improve productivity, decrease ...
Data Warehousing
Database vs Data Warehouse - What's The Difference?

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