phData

NOVEMBER 4, 2024

Here are some simplified usage patterns where we feel Dataiku can help: Data Preparation Dataiku offers robust data preparation capabilities that streamline the entire process of transforming raw data into actionable insights.

Machine Learning 69

Machine Learning Machine Learning Data Science ML 69

Pickl AI

APRIL 21, 2025

Semi-Structured Data: Data that has some organizational properties but doesn’t fit a rigid database structure (like emails, XML files, or JSON data used by websites). Unstructured Data: Data with no predefined format (like text documents, social media posts, images, audio files, videos).

Big Data 52

Big Data Big Data Data Science Machine Learning 52

Alation

MAY 27, 2021

Rather than locking the data away from those who need it, this approach instead welcomes more users to the data — but adds guardrails to guide use. Deprecation warnings, SQL AutoSuggest, and quality flags are examples of “guardrail features.” This traditional focus on data control weakens community collaboration.

Data Governance 98

Data Governance Data Quality Data Wrangling SQL 98

ODSC - Open Data Science

AUGUST 15, 2023

Transformers for Document Understanding Vaishali Balaji | Lead Data Scientist | Indium Software This session will introduce you to transformer models, their working mechanisms, and their applications. Free and paid passes are available now–register here.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

phData

MARCH 20, 2024

dbt’s SQL-based approach democratizes data transformation. However, python and other programming languages edge out SQL with its metaprogramming capabilities. dbt’s Jinja integration bridges the gap between the expressiveness of Python and the familiarity of SQL. Ensure that the syntax and logic are correct.

SQL 52

SQL Data Wrangling Database Python 52

How to Learn Machine Learning

DECEMBER 11, 2022

The library is built on top of the popular numerical computing library NumPy and provides high-performance data structures and functions for working with structured and unstructured data.

Machine Learning 52

Machine Learning Machine Learning Data Analysis Data Analysis 52

The MLOps Blog

OCTOBER 20, 2023

References : Links to internal or external documentation with background information or specific information used within the analysis presented in the notebook. Data to explore: Outline the tables or datasets you’re exploring/analyzing and reference their sources or link their data catalog entries. documentation.

SQL 52

SQL Database Data Scientist Python 52