AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 100

Metadata Data Lake Publishing Data Governance 100

AWS Big Data

JANUARY 24, 2023

This post explains how to create a design that automatically backs up Amazon Simple Storage Service (Amazon S3), the AWS Glue Data Catalog, and Lake Formation permissions in different Regions and provides backup and restore options for disaster recovery. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Architecture 66

Data Architecture Metadata Data Lake Snapshot 66

Corinium

APRIL 25, 2019

Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. It definitely depends on the type of data, no one method is always better than the other. And then there is the Cloud.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Production Monitoring Only.

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

MAY 24, 2023

You can adjust your retry strategy by increasing the maximum retry limit for the default exponential backoff retry strategy or enabling and configuring the additive-increase/multiplicative-decrease (AIMD) retry strategy. You can use either the AWS Glue Data Catalog (recommended) or a Hive catalog for Iceberg tables.

Data Lake 84

Data Lake Snapshot Metadata Optimization 84

Occam's Razor

MARCH 23, 2010

If nothing else convinces you, remember that clickstream data is a small part of the data you'll use to make smart Web Analytics 2.0 our measurement strategies 2. We need to change our measurement strategies as changes occur in: 1. A majority of web analytics data warehousing efforts fail. success measures.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Domino Data Lab

JULY 2, 2019

To build a SQL query, one must describe the data sources involved and the high-level operations (SELECT, JOIN, WHERE, etc.) 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.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Occam's Razor

MAY 18, 2010

, don't allow you to do on the fly segmentation of all your data (not without asking you to change javascript script tags every time you need to segment something, or not without paying extra or paying for additional "data warehouse" solutions). The multi-channel strategy you are executing is unique.

Analytics 123

Analytics Key Performance Indicator Metrics Measurement 123

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. If you have Web Analytics 2.0

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

NOVEMBER 5, 2007

The fact that to make optimal decisions on the web I was going to have to be comfortable with multiple sources of data, all valuable and all necessary to win. The strategy, for me, was two fold: Go figure out what sources of data, web and non-web, were needed to make decisions. It was totally worth it.

Analytics 98

Analytics Experimentation Metrics Measurement 98

Occam's Razor

OCTOBER 19, 2010

Depending on the size of your company (translation: resources available and what's impactful and doable) here is the priority order that I recommend for you to execute your web analytics tools strategy right. They'll simply puke data faster and, if you implement them right, more efficiently. and Google, get a paid solution.

Analytics 135

Analytics Testing Measurement Optimization 135

Domino Data Lab

OCTOBER 14, 2020

It incorporates public and third-party data sets, such as weather, soil, satellite, elevation data and proprietary data, such as genetic information of seed hybrids that we acquire from our parent company, Bayer. With our platform, farmers can understand the impact of a particular fertilization strategy and adjust as needed.

Experimentation 99

Experimentation Modeling Deep Learning Testing 99

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber understood that digital superiority required the capture of all their transactional data, not just a sampling. They stood up a file-based data lake alongside their analytical database. Data Exploration and Innovation: The flexibility of Presto has encouraged data exploration and experimentation at Uber.

OLAP 87

OLAP Data Lake Data-driven Snapshot 87