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Welcome back, data folk, to our 3-part series on managing and analyzing data with SQL, Python and pandas. In our first post, we went into the differences, similarities, ...
Data Analysis
How to read a SQL query into a pandas dataframe
Finding the right ETL tool for your business is essential. ETL pulls data out of a source (extract), makes changes according to requirements (transform), and then pushes ...
ETL/ELT
Top ETL Tools for Business... And The Case For Saying 'No ETL'
SQL and pandas are both invaluable tools for any analyst or data scientist. They tend to be mentioned in the same breath when talking about data manipulation and ...
Data Analysis
SQL and pandas: A Rosetta Stone for Analysts
When it comes to flavors of SQL, everyone’s got an opinion—and often a pretty strong one. While the SQL debates aren’t quite as intense as, say, the Python/R holy war in ...
ETL/ELT
Top 5 Microsoft SQL Server ETL Tools
If you work with data of any real size, chances are you’ve heard of ETL before. If not (or if you just like having your memory refreshed), here’s a summary: ETL is a ...
ETL/ELT
What is Data Transformation, Anyway?
The speed, flexibility and ease of setup of NoSQL-style databases have all contributed to the rapid rise in popularity of MongoDB in recent years. Despite its advantages ...
Data Analysis
How to analyze MongoDB data in Power BI
At Panoply, we get a lot of customers who are looking to use Grafana to analyze data stored in DynamoDB instances. If you’ve ever looked into this, you’ve probably seen ...
Data Analysis
How to analyze DynamoDB data in Grafana
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?
This post has been updated to reflect changes to Instagram's API (Facebook's Graph API). You will now need to switch to an Instagram Business account to perform this ...
Data Analysis
Instagram Data Analysis using SQL, part the third: Identifying Top Followers
This post has been updated to reflect changes to Instagram's API (Facebook's Graph API). You will now need to switch to an Instagram Business account to perform this ...
Data Analysis
Analyzing Instagram API Data, part 2: Engagement Over Time
This post has been updated to reflect changes to Instagram's API (Facebook's Graph API). You will now need to switch to an Instagram Business account to perform this ...
Data Analysis
Instagram Analytics with SQL Queries part 1: Getting Started
One thing we see a lot of here at Panoply is customers looking to use Tableau to analyze data stored in DynamoDB instances. If you’ve ever looked into this, or tried it ...
Data Analysis
DynamoDB Analytics and Visualization in Tableau: Step by Step Tutorial
So your startup is growing... Great! The only problem is, you can’t say exactly why it’s growing or how to increase the rate of growth. You know that analytics are ...
Being Data-Driven
How to Build your Startup's Analytics Operation from Scratch: Tools and Tips
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
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

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