Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. How would you segment customers based on their purchasing behaviour?

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Pickl AI

OCTOBER 6, 2024

This phase is crucial for enhancing data quality and preparing it for analysis. Transformation involves various activities that help convert raw data into a format suitable for reporting and analytics. Normalisation: Standardising data formats and structures, ensuring consistency across various data sources.

ETL 52

ETL Data Quality Data Integration Big Data 52

Pickl AI

JUNE 23, 2023

This includes ensuring data privacy, security, and compliance with ethical guidelines to avoid biases, discrimination, or misuse of data. Also Read: How Can The Adoption of a Data Platform Simplify Data Governance For An Organization? Governance Emphasizes data governance, privacy, and ethics.

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

ODSC - Open Data Science

OCTOBER 20, 2023

You’ll see a demonstration of how to use an effective control layer to help you train LLMs using a suite of open-source solutions, and scale these to true enterprise production levels while controlling costs and improving data quality. Check them out for free!

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

Pickl AI

JUNE 18, 2023

Hadoop has become a highly familiar term because of the advent of big data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. But what is Hadoop and what is the importance of Hadoop in Big Data?

Big Data 52

Big Data Machine Learning Data Quality Data Analysis 52

Marktechpost

JULY 17, 2023

To educate self-driving cars on how to avoid killing people, the business concentrates on some of the most challenging use cases for its synthetic data platform. Its most recent development, made in partnership with the Toyota Research Institute, teaches autonomous systems about object permanence using synthetic data.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

Pickl AI

JUNE 11, 2024

Self-Service Analytics User-friendly interfaces and self-service analytics tools empower business users to explore data independently without relying on IT departments. Best Practices for Maximizing Data Warehouse Functionality A data warehouse, brimming with historical data, holds immense potential for unlocking valuable insights.

ETL 52

ETL Data Mining Data Integration Actionable Intelligence 52

IBM Journey to AI blog

AUGUST 4, 2023

It’s often described as a way to simply increase data access, but the transition is about far more than that. When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard.

Machine Learning 183

Machine Learning Metadata Automation AI 183

Flipboard

MARCH 21, 2025

Amazon SageMaker Catalog serves as a central repository hub to store both technical and business catalog information of the data product. To establish trust between the data producers and data consumers, SageMaker Catalog also integrates the data quality metrics and data lineage events to track and drive transparency in data pipelines.

Metadata 137

Metadata ETL Data Analysis Big Data 137