article thumbnail

Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 3: Productionization of ML models

Cloudera

In this last installment, we’ll discuss a demo application that uses PySpark.ML to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. Training Data in HBase and HDFS. Below is a simple screen recording of the demo application.

article thumbnail

The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes. In other words, the data is stored in its raw, unprocessed form, and the structure is imposed when a user or an application queries the data for analysis or processing.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes. In other words, the data is stored in its raw, unprocessed form, and the structure is imposed when a user or an application queries the data for analysis or processing.

article thumbnail

The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes. In other words, the data is stored in its raw, unprocessed form, and the structure is imposed when a user or an application queries the data for analysis or processing.

article thumbnail

How to Easily Connect Airbyte with Snowflake for Unleashing Data’s Power?

Workfall

Pre-filter and pre-aggregate data at the source level to optimize the data pipeline’s efficiency. Adapt to Changing Data Schemas: Data sources aren’t static; they evolve. Account for potential changes in data schemas and structures.

article thumbnail

10 Popular SQL Tools in the Market in 2024

Knowledge Hut

No Software Load Whether you are working on the cloud or your on-premise system, you’ll need to install some software for database access. If you use an online SQL tool though, all you need is a web browser to access the tool. You can check to see if they have a free version and give it a shot first with some dummy data.

SQL 52
article thumbnail

17 Super Valuable Automated Data Lineage Use Cases With Examples

Monte Carlo

Overwhelmed data engineers need to have the proper context of the blast radius to understand which incidents need to be addressed right away, and which incidents are a secondary priority. This is one of the most frequent data lineage use cases leveraged by Vox. Here are four data lineage use cases for data access and enablement.