Data Engineering Podcast

JUNE 9, 2019

Summary Building a machine learning model can be difficult, but that is only half of the battle. In this episode Stepan Pushkarev, founder of Hydrosphere, explains why deploying and maintaining machine learning projects in production is different from regular software projects and the challenges that they bring.

Machine Learning 100

Machine Learning Management Scala Data Science 100

Data Engineering Podcast

JUNE 14, 2021

Summary When you build a machine learning model, the first step is always to load your data. In this episode Paige Roberts explains the benefits of pushing the machine learning processing into the database layer and the approach that Vertica has taken for their implementation. when working within the database?

Machine Learning 100

Machine Learning Database Data Warehouse Hadoop 100

Data Engineering Podcast

AUGUST 6, 2022

For analytical systems there are decades of investment in data warehouses and various modeling techniques. For machine learning applications relational models require additional processing to be directly useful, which is why there has been a growth in the use of vector databases. What are the goals of the project?

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

FEBRUARY 11, 2019

Summary Machine learning is a class of technologies that promise to revolutionize business. Kevin Dewalt founded Prolego to help Fortune 500 companies build, launch, and maintain their first machine learning projects so that they can remain competitive in our landscape of constant change.

Machine Learning 100

Machine Learning Deep Learning Recruitment Software Engineer 100

KDnuggets

JUNE 27, 2023

And how approaches to better data management, version control, and experiment tracking can help build reproducible ML pipelines.

Machine Learning 98

Machine Learning Data Management Building Management 98

Data Engineering Podcast

JUNE 15, 2020

Summary Machine learning is a process driven by iteration and experimentation which requires fast and easy access to relevant features of the data being processed. Can you describe what a machine learning feature is? What is StreamSQL and what motivated you to start the business?

Machine Learning 100

Machine Learning Google Cloud Kafka Data Engineering 100

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 81

Machine Learning Algorithm Government Metadata 81

Knowledge Hut

AUGUST 1, 2023

Ever wondered how machine learning can revolutionize the healthcare industry? Machine learning is a way in which artificial intelligence is used to train algorithms or computers. Machine learning algorithms can analyze potentially tera bytes of data, identify patterns from these data, and make predictions or decisions.

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

Knowledge Hut

JUNE 16, 2023

Machine learning is the domain under artificial intelligence, devoted to using algorithms that help machines learn things like humans. The algorithms use historical data as input to predict the outputs until the machine gains human-like proficiency.

Machine Learning 52

Machine Learning Data Mining Algorithm Data Science 52

Data Engineering Podcast

JULY 17, 2022

In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data.

Data Management 130

Data Management Management Metadata MongoDB 130

Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions. They develop self-running software.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

APRIL 24, 2022

Summary There are very few tools which are equally useful for data engineers, data scientists, and machine learning engineers. WhyLogs is a powerful library for flexibly instrumenting all of your data systems to understand the entire lifecycle of your data from source to productionized model.

Machine Learning 100

Machine Learning Systems Data Lake Metadata 100

KDnuggets

JANUARY 11, 2023

Key Data Science, Machine Learning, AI and Analytics Developments of 2022 • Python Matplotlib Cheat Sheets • More Data Science Cheatsheets • Free Data Management with Data Science Learning with CS639 • Data-Driven Holiday Cheer: How Santa is Using Analytics to Make the Season Bright.

Data Science 96

Data Science Machine Learning Python Data 96

Data Engineering Podcast

AUGUST 14, 2021

In this episode Davit Buniatyan, founder and CEO of Activeloop, explains why he is spending his time and energy on building a platform to simplify the work of getting your unstructured data ready for machine learning. __init__ to learn about the Python language, its community, and the innovative ways it is being used.

Unstructured Data 100

Unstructured Data Machine Learning Data Lake SQL 100

Data Engineering Podcast

APRIL 19, 2021

Summary Most of the time when you think about a data pipeline or ETL job what comes to mind is a purely mechanistic progression of functions that move data from point A to point B. Sometimes, however, one of those transformations is actually a full-fledged machine learning project in its own right.

Data Pipeline 100

Data Pipeline Machine Learning Data Warehouse Datasets 100

Data Engineering Podcast

JUNE 26, 2022

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Master Data Management (MDM) is the process of building consensus around what the information actually means in the context of the business and then shaping the data to match those semantics.

Data Management 100

Data Management Management MongoDB Scala 100

Data Engineering Podcast

JUNE 8, 2020

Summary The landscape of data management and processing is rapidly changing and evolving. This is a useful conversation to gain a macro perspective on where businesses are looking to improve their capabilities to work with data. If you hand a book to a new data engineer, what wisdom would you add to it?

Data Management 100

Data Management Management Machine Learning Portfolio 100

Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossible business challenges effectively and at scale.

Machine Learning 89

Machine Learning Government Cloud Data Science 89

ProjectPro

DECEMBER 16, 2021

Are you a newbie in the data science domain ready to embark on a rewarding journey but are confused between the roles of a Machine Learning Engineer vs Data Scientist? Read this article to understand the significant differences and similarities between a machine learning engineer and a data scientist.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

KDnuggets

OCTOBER 22, 2019

For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.

Data Management 123

Data Management Management Data Storage Machine Learning 123

KDnuggets

AUGUST 22, 2019

As machine learning evolves, the need for tools and platforms that automate the lifecycle management of training and testing datasets is becoming increasingly important.

Machine Learning 59

Machine Learning Management Data Management Datasets 59

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Data Engineering Weekly

MARCH 30, 2023

In this episode of Data Engineering Weekly Radio, we delve into modern data stacks under pressure and the potential consolidation of the data industry. We discussed that the siloed nature of many data products has led to industry consolidation, ultimately benefiting customers. Reference [link] [link]

Machine Learning 52

Machine Learning Government AWS Data Engineering 52

Data Engineering Podcast

SEPTEMBER 3, 2018

Summary With the proliferation of data sources to give a more comprehensive view of the information critical to your business it is even more important to have a canonical view of the entities that you care about. Can you start by establishing a definition of data mastering that we can work from?

Data Management 100

Data Management Management Relational Database Business Intelligence 100

Cloudera

FEBRUARY 4, 2021

I am pleased to announce that Cloudera was just named the Risk Data Repository and Data Management Product of the Year in the Risk Markets Technology Awards 2021. . Supporting the industry’s risk data depository and data management needs. End-to-end Data Lifecycle.

Technology 86

Technology Data Management Management Insurance 86

Data Engineering Podcast

OCTOBER 15, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team.

Process 182

Process Building SQL BI 182

Data Engineering Podcast

OCTOBER 22, 2023

In this episode Ranjith Raghunath shares his thoughts on how to build a strategy for the development, delivery, and evolution of data products. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

BI 162

BI SQL Machine Learning Programming Language 162

Data Engineering Podcast

OCTOBER 8, 2023

In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Closing Announcements Thank you for listening!

Insurance 162

Insurance BI SQL Machine Learning 162

Data Engineering Podcast

OCTOBER 1, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team.

Building 162

Building BI SQL Machine Learning 162

Data Engineering Podcast

AUGUST 6, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team.

Machine Learning 130

Machine Learning SQL Data Data Engineering 130

Data Engineering Podcast

JULY 16, 2023

In his recent book "Datapreneurs" he reflects on the people and businesses that he has known and worked with and how they relied on data to deliver valuable services and drive meaningful change. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

SQL 130

SQL Machine Learning Python Data 130

Data Engineering Podcast

APRIL 2, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Businesses that adapt well to change grow 3 times faster than the industry average. As your business adapts, so should your data. The Machine Learning Podcast helps you go from idea to production with machine learning.

Hadoop 130

Hadoop Machine Learning Python Architecture 130

Seattle Data Guy

AUGUST 2, 2023

A few months ago, I uploaded a video where I discussed data warehouses, data lakes, and transactional databases. However, the world of data management is evolving rapidly, especially with the resurgence of AI and machine learning.

Data Lake 130

Data Lake Data Warehouse Data Machine Learning 130

Data Engineering Podcast

JULY 9, 2023

In this episode Maxime Beauchemin of Airflow and Superset fame shares his vision for the entity-centric data model and how you can incorporate it into your own warehouse design. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

Database-centric 130

Database-centric Machine Learning SQL Data Engineering 130

ProjectPro

FEBRUARY 16, 2023

With so much riding on the efficiency of ETL processes for data engineering teams, it is essential to take a deep dive into the complex world of ETL on AWS to take your data management to the next level. Additionally, one should pay close attention to the vendor's machine learning capabilities for predictive analytics.

AWS 52

AWS Data Management ETL Tools Management 52