Domino Data Lab

OCTOBER 14, 2020

Experimentation and collaboration are built into the core of the platform. This ability enhances the efficiency of operational management and optimizes the cost of experimentation. Our scientists and teams are familiar with working in Spark on EMR and using data with our existing feature store and data warehouse.

Experimentation 99

Experimentation Modeling Deep Learning Testing 99

DataRobot

JANUARY 20, 2022

As health and care delivery converges, analytical staff will be required to work across more boundaries with larger volumes of data than ever before. . The DataRobot and Snowflake platforms include extensive built-in trust features to enable explainability and end-to-end bias and fairness testing and monitoring over time.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

Cloudera

AUGUST 2, 2018

In each of the cases outlined above, the technology enabler is a new generation of data warehouses. We call it ‘Modern Data Warehousing’. Simply put, modern data warehousing enables our customers to confidently share petabytes of verified data across thousands of users while surpassing demands of SLAs and limited budgets.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

IBM Big Data Hub

SEPTEMBER 25, 2023

They set up a couple of clusters and began processing queries at a much faster speed than anything they had experienced with Apache Hive, a distributed data warehouse system, on their data lake. There may be inaccuracy because of sampling, but it allows users to discover new viewpoints within the data.

OLAP 87

OLAP Data Lake Data-driven Snapshot 87

Cloudera

FEBRUARY 16, 2022

This allows data scientists, engineers and data management teams to have the right level of access to effectively perform their role. They define each stage from data ingest, feature engineering, model building, testing, deployment and validation. This supports automation, consistency and reproducibility.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

AWS Big Data

MAY 24, 2023

The following examples are also available in the sample notebook in the aws-samples GitHub repo for quick experimentation. You can use either the AWS Glue Data Catalog (recommended) or a Hive catalog for Iceberg tables. Configure Iceberg on a Spark session Configure your Spark session using the %%configure magic command.

Data Lake 85

Data Lake Snapshot Metadata Optimization 85

Occam's Razor

MARCH 23, 2010

For big success you'll need to have a Multiplicity strategy: So when you step back and realize at the minimum you'll also have to use one Voice of Customer tool (for qualitative analysis), one Experimentation tool and (if you want to be great) one Competitive Intelligence tool… do you still want to have two clickstream tools?

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

OCTOBER 19, 2010

If after rigorous analysis you have determined that you have evolved to a stage that you need a data warehouse then you are out of luck with Yahoo! If you can show ROI on a DW it would be a good use of your money to go with Omniture Discover, WebTrends Data Mart, Coremetrics Explore. Five Reasons And Awesome Testing Ideas.

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

NOVEMBER 5, 2007

For a person such as myself who came from the traditional Data Warehouse and Business Intelligence worlds that was a non-trivial mental model transformation. Experimentation & Testing : Google Website Optimizer, Offermatica, Optimost etc. It was totally worth it. Two New, Interesting & Non-Obvious Tools.

Analytics 98

Analytics Experimentation Metrics Measurement 98

Domino Data Lab

JULY 2, 2019

Of course, if you use several different data management frameworks within your data science workflows—as just about everybody does these days—much of that RDBMS magic vanishes in a puff of smoke. Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?”

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Occam's Razor

FEBRUARY 7, 2011

I have personally had a lot of success using Controlled Experimentation techniques, such as, say, Media Mix Modeling, to understand both current available demand and also segment conversion effectiveness. please refer to the controlled experimentation section, page 205, in the book for more. ." Post Testing: Visits 30k.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94