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The DataOps Blog

Where Change Is Welcome

When, Why, and How to Use Change Data Capture (CDC)

Engineering, Use Cases

The digital world moves fast. To keep up with customers (and competitors), organizations need to make split-second decisions and take action in real-time. Because as Nucleus Research pointed out, data has a half-life when it comes to tactical, operational, and strategic decisions.  But using change data capture to support real-time analytics can change the game. Instead of providing weekly or…

By April 6, 2022

Data Mart vs. Data Warehouse

Engineering

What is a Data Warehouse? Data warehouses are centralized repositories used to store data for an entire organization. Data warehouses contain data from many disparate data sources and can often be quite large. Data warehouses are different from other data repositories in that they are relational, meaning they store data in tables with rows and columns. What is a Data…

Brenna Buuck By April 4, 2022

Streaming Kafka to Snowflake: A Strategic & Technical Walkthrough

Engineering

Messaging Oriented Middleware (MOM) applications have been around for a very long time and Kafka is just one of the latest and, as of late, one of the most popular. With Snowflake also having mass popularity, it’s no surprise streaming Kafka to Snowflake is a hot topic. It used to be that messaging applications like Kafka would mostly be used…

By March 30, 2022

PostgreSQL vs MySQL: A Head to Head Comparison

Engineering

What is PostgreSQL? PostgreSQL is a relational database that stores data in tables, rows, and columns with pre-defined relationships. This is as opposed to NoSQL or document storage solutions that lack these features and give up advanced analytical capabilities in favor of ease of use. It is also open-source. What does this mean? There is no fee, even for commercial…

Brenna Buuck By March 29, 2022

Kafka vs. Kinesis: A Deep Dive Comparison

Engineering

Kafka vs. Kinesis: A Deep Dive Comparison  Data comes at businesses today at a relentless pace – and it never stops. It’s a good thing too. The data-driven enterprise is more likely to succeed. According to McKinsey, “companies with the greatest overall growth in revenue and earnings receive a significant proportion of that boost from data and analytics.” But there’s…

By March 24, 2022
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