Remove Accessible Remove Building Remove Data Schemas Remove Demo
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. As a result, I decided to use an open-source Occupancy Detection Data Set to build this application.

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.

Insiders

Sign Up for our Newsletter

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

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

The JaffleGaggle Story: Data Modeling for a Customer 360 View

dbt Developer Hub

It includes a set of demo CSV files, which you can use as dbt seeds to test Donny's project for yourself. If not, I’d recommend taking a second to look at Claire Carroll’s README for the original Jaffle Shop demo project (otherwise this playbook is probably going to be a little weird, but still useful, to read).

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.

article thumbnail

17 Ways to Mess Up Self-Managed Schema Registry

Confluent

The primary cluster: Coordinates primary election among all the Schema Registry instances. Contains the schemas topic, to which primary instances back up newly registered schemas. Confluent Replicator then copies the Kafka schemas topic from the primary cluster to the other cluster for backup. powered by Typeform.

article thumbnail

Data Warehouse Migration Best Practices

Monte Carlo

As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. In the old days, data warehouses were bulky, on-prem solutions that were difficult to build and equally difficult to maintain. What teams will be using your new data warehouse?