Remove Blog Remove Building Remove Data Schemas Remove Metadata
article thumbnail

Introducing the SQL AI Assistant:Create, Edit, Explain, Optimize, and Fix Any Query

Cloudera

In the “assumptions” field, we see how the SQL AI Assistant looked over our data model; compared to what we’re looking for, it was able to find the right tables, columns, and joins needed to provide a query that will give us the list we’re looking for. And as a bonus, we even get the query written for us, saving us even more time!

SQL 67
article thumbnail

A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

Cloudera

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Insiders

Sign Up for our Newsletter

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

article thumbnail

AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98
article thumbnail

Implementing the Netflix Media Database

Netflix Tech

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.

Media 94
article thumbnail

11 Ways To Stop Data Anomalies Dead In Their Tracks

Monte Carlo

Otherwise you may produce more data anomalies than you prevent. Data Contracts Image courtesy of Andrew Jones. You can think of data contracts as circuit breakers, but for data schemas instead of the data itself. If you are conducting a post mortem, by definition the data anomaly has already occurred.

Food 52
article thumbnail

Knowledge Graphs: The Essential Guide

AltexSoft

A triple is the most basic knowledge graph model you can build with two nodes and one edge explaining their connection. The logical basis of RDF is extended by related standards RDFS (RDF Schema) and OWL (Web Ontology Language). Knowledge graphs for building personal assistants and chatbots.

article thumbnail

50 PySpark Interview Questions and Answers For 2023

ProjectPro

The StructType and StructField classes in PySpark are used to define the schema to the DataFrame and create complex columns such as nested struct, array, and map columns. StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. appName('ProjectPro').getOrCreate()

Hadoop 52