Timo Elliott

APRIL 1, 2023

It’s not creating the models or doing the data science—it’s actually making it part of an operational process. Data scientists typically extract data from operational systems and move it to a hyperscalar data lake, then use open source algorithms to create and test their mdoels.

Data Lake 101

Data Lake Testing Data Science Modeling 101

CIO Business Intelligence

MAY 10, 2023

On investing in capabilities: We’ve set up something called a BI Center of Excellence where we train and have workshops and seminars on a monthly basis that team members across Novanta can join to learn about how they could leverage data marts or data sources to build their own reporting.

Data-driven 120

Data-driven IT Digital Transformation Data Governance 120

erwin

JUNE 7, 2022

The first and most important thing to recognize and understand is the new and radically different target environment that you are now designing a data model for. Star schema: a data modeling and database design paradigm for data warehouses and data lakes. Business Focus. Operational. Operational Tactical.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

Domino Data Lab

APRIL 3, 2019

Fun fact: in the early 1980s I attended a Systems seminar by some of our department’s grad students and professors, plus their colleagues from a nearby university with bears, who presented about a thing called the “Stanford University Network” workstation. Somehow, the gravity of the data has a geological effect that forms data lakes.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. You can use simple SQL to analyze structured and semi-structured data, operational databases, and data lakes to deliver the best price/performance at any scale.

Big Data 67

Big Data Data Warehouse Advertising OLAP 67