Waterloo Data

We hope you had a wonderful Two'sday! We're already looking forward to May 4th🙂

2021 was a big year for Waterloo Data thanks to our amazing clients and our incredible consultants who deliver for them every single day. Here's to an even bigger 2022!

Interested in the abilities and limitations of using FiveTran? Our CEO, Matt Brown, wrote this great article on just that!

FiveTran: Strengths and Weaknesses Matt Brown explains the pros and cons of using Fivetran. Fivetran takes all of the data from your databases, events, applications, and files, and essentially replicates them into high-performance data lakes and data warehouses.

Data is an invaluable asset for businesses. Having a data strategy in place allows data to become information that becomes insight which leads to action.

Although there are many similarities between Azure Synapse and Snowflake, there are some clear differences when it comes to their architecture. Check out our most recent blog written by one of our Data Warehouse Architects, Ian Stock, and CEO, Matt Brown.

Azure Synapse vs. Snowflake: Which MPP platform is right for you? Azure Synapse and Snowflake are two of the largest MPP platforms available. Our team breaks down the pros and cons of both platforms this week.

Databases are used for keeping tons of information organized and easily accessible. But not all databases are created equal. Each database serves different end functions for the user. The most common databases we see are Relational, NoSQL, and Graph Databases.

AI works when applied to clean data. The companies that are growing and excelling have their data management houses in order.

Artificial intelligence is taking over real estate – here's what that means for homebuyers

Manual Data Management is time consuming, redundant, and boring. Modern Data Solutions let the machines do the work for you! Is your data being used to its full extent?

Do you have a process in place for your data? Data Lifecycle Management is the process of how data matures throughout its life. Utilizing Data Lifecycle Management (DLM) can ensure your information is accurate, auditable and adhering to appropriate compliance frameworks.

Analytical “table stakes” are in mining insights from structured data. Innovative organizations unlock value from their unstructured data assets. Waterloo has built solutions for medical image processing, mining lease agreements/comparables for commercial real estate, and much more.

We live in a time when we have access to some fantastic BI tools and resources. For most businesses and data professionals, it’s not a case of finding the ‘best’ BI tool. Instead, it will be all about finding the best fit. This depends on the situation, the environment, and the goals of the data team.



https://waterloodata.com/power-bi-tableau-looker/