Data Governance, Data Pipeline, Data Workflow and Machine Learning

DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture

Architecture Data Ingestion Data Governance Data Cleanse

Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines. Machine learning frameworks (e.g.,

Data Engineering

Data Engineering Data Engineer Engineering Data Warehouse

Data Quality Engineer: Skills, Salary, & Tools Required

Monte Carlo

JULY 27, 2023

A financial dashboard may need to be accurate within a penny while a machine learning model may only need directionally accurate (but constantly refreshed) data. 78% of job postings referenced at least part of their environment was in a modern data warehouse, lake, or lakehouse.

Engineering

Engineering Healthcare Scala Data Warehouse

Webinars

How to Optimize the Developer Experience for Monumental Impact

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

MORE WEBINARS

Better Data Quality Through Observability With Monte Carlo

Data Engineering Podcast

OCTOBER 19, 2020

Summary In order for analytics and machine learning projects to be useful, they require a high degree of data quality. To ensure that your pipelines are healthy you need a way to make them observable. Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud.

Machine Learning

Machine Learning Data Engineering Data Engineer Data

Top 20 Azure Data Engineering Projects in 2023 [Source Code]

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. A Data Engineer is responsible for designing the entire architecture of the data flow while taking the needs of the business into account.

Data Engineering

Data Engineering Data Engineer Coding Project

Big Data (Quality), Small Data Team: How Prefect Saved 20 Hours Per Week with Data Observability

Monte Carlo

SEPTEMBER 20, 2022

Here’s how Prefect , Series B startup and creator of the popular data orchestration tool, harnessed the power of data observability to preserve headcount, improve data quality and reduce time to detection and resolution for data incidents. But a growing company means growing data needs. Scaling data governance.

Big Data

Big Data Data Warehouse Data Data Governance

Barking Up The Wrong GPTree: Building Better AI With A Cognitive Approach

Data Engineering Podcast

MAY 5, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Building

Building Data Lake High Quality Data Machine Learning

Build Your Second Brain One Piece At A Time

Data Engineering Podcast

APRIL 28, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Building

Building Data Lake High Quality Data Machine Learning

Making Email Better With AI At Shortwave

Data Engineering Podcast

APRIL 21, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Data Lake

Data Lake High Quality Data Data Pipeline Machine Learning

Designing A Non-Relational Database Engine

Data Engineering Podcast

APRIL 14, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is brought to you by Datafold – a testing automation platform for data engineers that prevents data quality issues from entering every part of your data workflow, from migration to dbt deployment.

Non-relational Database

Non-relational Database Relational Database Database Designing

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

FEBRUARY 18, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Data Lake

Data Lake High Quality Data Data Warehouse Google Cloud

Release Management For Data Platform Services And Logic

Data Engineering Podcast

MAY 12, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake.

Management

Management Data Lake High Quality Data Machine Learning

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Data Engineering Podcast

MARCH 31, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Dagster offers a new approach to building and running data platforms and data pipelines. Your first 30 days are free! Don't forget to check out our other shows.

Project

Project Data Lake High Quality Data Data Workflow

Ship Smarter Not Harder With Declarative And Collaborative Data Orchestration On Dagster+

Data Engineering Podcast

MARCH 24, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Data Lake

Data Lake High Quality Data Hadoop Data Pipeline

Reconciling The Data In Your Databases With Datafold

Data Engineering Podcast

MARCH 17, 2024

Summary A significant portion of data workflows involve storing and processing information in database engines. In this episode Gleb Mezhanskiy, founder and CEO of Datafold, discusses the different error conditions and solutions that you need to know about to ensure the accuracy of your data. Data lakes are notoriously complex.

Database

Database Data Lake High Quality Data Data Workflow

Tackling Real Time Streaming Data With SQL Using RisingWave

Data Engineering Podcast

FEBRUARY 4, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Dagster offers a new approach to building and running data platforms and data pipelines. Don't forget to check out our other shows.

SQL

SQL Data Lake High Quality Data Data Pipeline

Data Sharing Across Business And Platform Boundaries

Data Engineering Podcast

FEBRUARY 11, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Dagster offers a new approach to building and running data platforms and data pipelines. Don't forget to check out our other shows.

Data Lake

Data Lake High Quality Data Government Data Pipeline

When And How To Conduct An AI Program

Data Engineering Podcast

MARCH 3, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Programming

Programming Data Lake High Quality Data Data Pipeline

Troubleshooting Kafka In Production

Data Engineering Podcast

DECEMBER 24, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Kafka

Kafka Data Lake High Quality Data SQL

Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

FEBRUARY 25, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Database

Database Technology Data Lake High Quality Data

Version Your Data Lakehouse Like Your Software With Nessie

Data Engineering Podcast

MARCH 10, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Data Lake

Data Lake High Quality Data Data Pipeline Architecture

Designing Data Transfer Systems That Scale

Data Engineering Podcast

DECEMBER 3, 2023

Summary The first step of data pipelines is to move the data to a place where you can process and prepare it for its eventual purpose. Data transfer systems are a critical component of data enablement, and building them to support large volumes of information is a complex endeavor.

Systems

Systems Designing Data Lake SQL

Build A Data Lake For Your Security Logs With Scanner

Data Engineering Podcast

JANUARY 28, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. The Machine Learning Podcast helps you go from idea to production with machine learning. Don't forget to check out our other shows.

Data Lake

Data Lake Building High Quality Data AWS

Designing Data Platforms For Fintech Companies

Data Engineering Podcast

DECEMBER 31, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Fraud prediction in e.g. banks is one of the most well-established applications of machine learning in industry. Data governance is a notoriously challenging problem.

Designing

Designing Data Lake High Quality Data SQL

Pushing The Limits Of Scalability And User Experience For Data Processing WIth Jignesh Patel

Data Engineering Podcast

JANUARY 7, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. The Machine Learning Podcast helps you go from idea to production with machine learning. Don't forget to check out our other shows.

Data Process

Data Process Process Data Lake High Quality Data

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

Data Pipeline

Data Pipeline Architecture Data Lake Data Warehouse

Adding An Easy Mode For The Modern Data Stack With 5X

Data Engineering Podcast

DECEMBER 17, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake

Data Lake High Quality Data SQL Architecture

Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine

Data Engineering Podcast

NOVEMBER 12, 2023

Learn more about Datafold by visiting dataengineeringpodcast.com/datafold Data lakes are notoriously complex. Your host is Tobias Macey and today I'm interviewing Eran Yahav about building an AI powered developer assistant at Tabnine Interview Introduction How did you get involved in machine learning?

Software Engineer

Software Engineer Software Engineering Engineering Data Lake

Shining Some Light In The Black Box Of PostgreSQL Performance

Data Engineering Podcast

NOVEMBER 5, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

PostgreSQL

PostgreSQL Data Lake High Quality Data SQL

Modern Customer Data Platform Principles

Data Engineering Podcast

JANUARY 21, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. The Machine Learning Podcast helps you go from idea to production with machine learning. Don't forget to check out our other shows.

Data Lake

Data Lake High Quality Data NoSQL Data Warehouse

Addressing The Challenges Of Component Integration In Data Platform Architectures

Data Engineering Podcast

NOVEMBER 26, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Architecture

Architecture Data Lake High Quality Data SQL

Unlocking Your dbt Projects With Practical Advice For Practitioners

Data Engineering Podcast

NOVEMBER 19, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Project

Project Data Lake High Quality Data SQL

Run Your Own Anomaly Detection For Your Critical Business Metrics With Anomstack

Data Engineering Podcast

DECEMBER 10, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake

Data Lake High Quality Data SQL Architecture

Unified DataOps: Components, Challenges, and How to Get Started

Databand.ai

AUGUST 30, 2023

These experts will need to combine their expertise in data processing, storage, transformation, modeling, visualization, and machine learning algorithms, working together on a unified platform or toolset.

Data Governance

Data Governance Data Cleanse Government Data Pipeline

The DataOps Vendor Landscape, 2021

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines.

Consulting

Consulting Machine Learning Data Science Data Pipeline

Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer

Data Engineering Podcast

APRIL 7, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is brought to you by Datafold – a testing automation platform for data engineers that prevents data quality issues from entering every part of your data workflow, from migration to dbt deployment.

Data Lake

Data Lake High Quality Data BI Data Workflow

DataOps: What Is It, Core Principles, and Tools For Implementation

phData: Data Engineering

JANUARY 3, 2022

How do I know where this data came from or how it’s being used? How do I maintain all my data pipelines? How do I recreate the environment and data sets from scratch? How do I build confidence and trust in the data products I create? How do I ensure customers aren’t impacted by changes or new functionality?

IT

IT AWS Software Engineer Software Engineering

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

AltexSoft

MARCH 14, 2023

Data science , on the other hand, involves using data to build predictive models for automating decision-making or informing more complex analyses. This area requires a deep understanding of statistics and machine learning algorithms, as well as the ability to program in languages such as Python or R.

IT

IT Data Warehouse Data Governance Data Lake

DataOps Architecture: 5 Key Components and How to Get Started

Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

Webinars

Trending Sources

Data Quality Engineer: Skills, Salary, & Tools Required

Webinars

Better Data Quality Through Observability With Monte Carlo

Top 20 Azure Data Engineering Projects in 2023 [Source Code]

Big Data (Quality), Small Data Team: How Prefect Saved 20 Hours Per Week with Data Observability

Barking Up The Wrong GPTree: Building Better AI With A Cognitive Approach

Build Your Second Brain One Piece At A Time

Making Email Better With AI At Shortwave

Designing A Non-Relational Database Engine

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Release Management For Data Platform Services And Logic

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Ship Smarter Not Harder With Declarative And Collaborative Data Orchestration On Dagster+

Reconciling The Data In Your Databases With Datafold

Tackling Real Time Streaming Data With SQL Using RisingWave

Data Sharing Across Business And Platform Boundaries

When And How To Conduct An AI Program

Troubleshooting Kafka In Production

Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Version Your Data Lakehouse Like Your Software With Nessie

Designing Data Transfer Systems That Scale

Build A Data Lake For Your Security Logs With Scanner

Designing Data Platforms For Fintech Companies

Pushing The Limits Of Scalability And User Experience For Data Processing WIth Jignesh Patel

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Adding An Easy Mode For The Modern Data Stack With 5X

Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine

Shining Some Light In The Black Box Of PostgreSQL Performance

Modern Customer Data Platform Principles

Addressing The Challenges Of Component Integration In Data Platform Architectures

Unlocking Your dbt Projects With Practical Advice For Practitioners

Run Your Own Anomaly Detection For Your Critical Business Metrics With Anomstack

Unified DataOps: Components, Challenges, and How to Get Started

The DataOps Vendor Landscape, 2021

Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer

DataOps: What Is It, Core Principles, and Tools For Implementation

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

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