Data Analytics
The languages our analysts and data scientists use to model, test and explain data.
12 tools
CatBoost
A gradient boosting library built around handling categorical columns without the leakage that naive encoding causes.
ExploreAmazon SageMaker
AWS machine learning service covering preparation, training, tuning and hosting, with infrastructure provisioned per job.
ExploreAzure Machine Learning
The Microsoft Azure service for machine learning, organised around a workspace that holds assets and compute.
ExploreAlteryx
A tool where data preparation and analysis are built by dragging tools onto a canvas and connecting them into a workflow.
ExploreAmazon Athena
A query service that runs SQL against files in Amazon S3 without any infrastructure being provisioned.
ExploreAzure Data Explorer
An Azure service for exploring large volumes of log and telemetry data, queried with the Kusto Query Language.
ExploreApache Druid
A database built for fast analytical queries over event data, where time is treated as a first class column.
ExploreApache Arrow
A standard way of laying out columnar data in memory so different tools and languages can share it without converting.
ExploreAmplitude
A product analytics service for examining how people use a product, built around events and the users who produce them.
ExploreBigQuery ML
A capability that trains and applies machine learning models using SQL statements inside a data warehouse.
ExploreAnaconda
A Python distribution and package manager that installs libraries along with the compiled components they depend on.
ExploreApache Zeppelin
A notebook where different paragraphs can use different languages, sharing results between them in one note.
ExploreWorking with data analytics?
Our engineers can assess your current setup and tell you what is worth changing.