Pickl AI

JULY 25, 2023

Data Integration and ETL (Extract, Transform, Load) Data Engineers develop and manage data pipelines that extract data from various sources, transform it into a suitable format, and load it into the destination systems. Data Quality and Governance Ensuring data quality is a critical aspect of a Data Engineer’s role.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

NOVEMBER 28, 2024

Model Evaluation and Tuning After building a Machine Learning model, it is crucial to evaluate its performance to ensure it generalises well to new, unseen data. Model evaluation and tuning involve several techniques to assess and optimise model accuracy and reliability.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

DagsHub

OCTOBER 23, 2024

NoSQL Databases NoSQL databases do not follow the traditional relational database structure, which makes them ideal for storing unstructured data. They allow flexible data models such as document, key-value, and wide-column formats, which are well-suited for large-scale data management.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

phData

JULY 18, 2023

Enter dbt dbt provides SQL-centric transformations for your data modeling and transformations, which is efficient for scrubbing and transforming your data while being an easy skill set to hire for and develop within your teams. It should also enable easy sharing of insights across the organization. Read more here.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

Pickl AI

DECEMBER 10, 2024

Risk Management Strategies Across Data, Models, and Deployment Risk management begins with ensuring data quality , as flawed or biased datasets can compromise the entire system. Model validation and stress testing are crucial steps to identify weaknesses before deployment.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

DagsHub

NOVEMBER 11, 2024

In this article, we’ll explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions, enhance customer experiences, and stay ahead of the competition. What is Unstructured Data? Data Quality Ensuring the quality of unstructured data is challenging due to its unstructured nature.

AI 52

AI AI Data Lakes Database 52

phData

NOVEMBER 13, 2023

Typical Scenarios: Business intelligence (BI), reporting, and analytics Data quality and monitoring Governance and privacy Data discovery and cataloging Machine learning and data science Have a look at a complete semantic model in the new dbt Semantic Layer from dbt Docs.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

The MLOps Blog

JANUARY 25, 2023

When training the models on this type of data, models can be biased towards some text while ignoring others. Solution To solve the potential bias in the training data, you can start with debiasing techniques. Solution There are several solutions for deploying a sentiment classification model.

Natural Language Processing 52

Natural Language Processing ML ML Deep Learning 52

phData

SEPTEMBER 27, 2024

Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? For years, we’ve been obsessed with creating these grand, top-down customer data models. Yeah, that one.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

Pickl AI

MARCH 19, 2025

It integrates well with various data sources, making analysis easier. dbt (Data Build Tool) dbt is a data transformation tool that allows engineers to manage and automate SQL-based workflows. It simplifies data modelling and transformation processes, making it easier to maintain data pipelines.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52