DataKitchen

DECEMBER 7, 2021

This book is not available until January 2022, but considering all the hype around the data mesh, we expect it to be a best seller. In the book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

AWS Big Data

NOVEMBER 8, 2023

This post was co-written with Rajiv Arora, Director of Data Science Platform at Gilead Life Sciences. Gilead Sciences, Inc. Create a data lake external schema and table in Redshift Serverless. You can query data lake tables directly from Amazon Redshift Query Editor v2 or your favorite SQL editors.

Data Lake 77

Data Lake Data Warehouse Cost-Benefit Optimization 77

Alation

JULY 19, 2022

As they attempt to put machine learning models into production, data science teams encounter many of the same hurdles that plagued data analytics teams in years past: Finding trusted, valuable data is time-consuming. Obstacles, such as user roles, permissions, and approval request prevent speedy data access.

Metadata 59

Metadata Data Quality Statistics Data Science 59

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Smart Data Collective

AUGUST 5, 2021

In this blog, we will cover an overview of Delta Lakes , its advantages, and how the above challenges can be overcome by moving to Delta Lake and migrating to Spark 3.0 What is Delta Lake? count, min/max values for columns) about the data in this file tags Map[String,String] Map containing metadata about this file.

Data Processing 143

Data Processing Metadata Broadcasting Statistics 143

CIO Business Intelligence

SEPTEMBER 22, 2023

What are the benefits of data management platforms? Modern, data-driven marketing teams must navigate a web of connected data sources and formats. All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Of course, marketing also works.

Management 102

Management Advertising Data Lake Sales 102

CIO Business Intelligence

JUNE 9, 2022

In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely. All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. SAS Data Management. Adobe Audience Manager.

Management 142

Management Advertising Data Lake Sales 142

Cloudera

JULY 26, 2021

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . Business and Technology Forces Shaping Data Product Development.

Strategy 119

Strategy Data Science Marketing Unstructured Data 119

datapine

AUGUST 29, 2022

Best for : the new intern who has no idea what data science even means. An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

MAY 26, 2022

Enterprises that are just starting to move to this discipline should keep in mind that at its core MLOps is about creating strong connections between data science and data engineering. “To To ensure the success of an MLOps project, you need both data engineers and data scientists on the same team,” Zuccarelli says.

Machine Learning 143

Machine Learning Modeling Data-driven Dashboards 143

Alation

JULY 7, 2022

To answer these questions we need to look at how data roles within the job market have evolved, and how academic programs have changed to meet new workforce demands. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. A lack of data literacy slows down the process.

Metadata 52

Metadata Data-driven Insurance Statistics 52

CIO Business Intelligence

MAY 28, 2022

Enterprises that are just starting to move to this discipline should keep in mind that at its core MLOps is about creating strong connections between data science and data engineering. “To To ensure the success of an MLOps project, you need both data engineers and data scientists on the same team,” Zuccarelli says.

Machine Learning 132

Machine Learning Modeling Data-driven Dashboards 132

Domino Data Lab

JUNE 15, 2021

These companies often undertake large data science efforts in order to shift from “data-driven” to “model-driven” operations, and to provide model-underpinned insights to the business. The typical data science journey for a company starts with a small team that is tasked with a handful of specific problems.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

Peter James Thomas

AUGUST 12, 2018

In our modern architectures, replete with web-services, APIs, cloud-based components and the quasi-instantaneous transmission of new transactions, it is perhaps not surprising that occasionally some data gets lost in translation [5] along the way. I explore some similar themes in a section of Data Visualisation – A Scientific Treatment.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Peter James Thomas

APRIL 9, 2019

Given the advent of the Maths & Science section, there are now seven categories into which I have split articles. These are as follows: General Data Articles. Data Visualisation. Statistics & Data Science. Analytics & Big Data. Maths & Science. Data Visualisation.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

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. Because much of the work done on their data lake is exploratory in nature, many users want to execute untested queries on petabytes of data.

OLAP 87

OLAP Data Lake Data-driven Snapshot 87

Andrew White

JANUARY 11, 2021

As such a head of analytics, BI and data science may emerge. Are you anticipating continued separation of “BI/Analytics” teams from “Data Science” teams or are those roles merging in the years ahead? Many data science labs are set up as shared services. That’s the idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52