Accessible, Data Governance, Data Workflow and Technology

Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

MARCH 22, 2021

Just an illustration – not the truth and you certainly can do it with other technologies. TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality.

Architecture

Architecture Technology Google Cloud Metadata

DataOps Framework: 4 Key Components and How to Implement Them

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

Data Governance

Data Governance Data Pipeline Government Data Cleanse

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

Knowledge Hut

MARCH 28, 2024

Apart from the demand, pursuing Azure data engineer jobs has numerous advantages, such as high salaries, opportunities for career advancement, and the possibility to work with the most advanced technologies in the field of data innovation. Develop data models, data governance policies, and data integration strategies.

Data Engineering

Data Engineering Data Engineer Engineering 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

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Better Data Quality Through Observability With Monte Carlo

Data Engineering Podcast

OCTOBER 19, 2020

Are you bogged down by having to manually manage data access controls, repeatedly move and copy data, and create audit reports to prove compliance? Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud. What is "data downtime"?

Machine Learning

Machine Learning Data Engineering Data Engineer Data

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

Data Engineering Podcast

FEBRUARY 25, 2024

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.

Database

Database Technology Data Lake High Quality Data

Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

MAY 18, 2024

Summary The purpose of business intelligence systems is to allow anyone in the business to access and decode data to help them make informed decisions. Unfortunately this often turns into an exercise in frustration for everyone involved due to complex workflows and hard-to-understand dashboards. Want to see Starburst in action?

Building

Building Data Lake High Quality Data Business Intelligence

The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part I)

Cloudera

AUGUST 21, 2020

Data lineage, personally identifiable information or PPI and metadata all fall under a broad data governance banner which is critically important in terms of what needs to be protected and mapped out. Once the data gets into a place where organizations are processing it in real-time, users need access to it in real-time as well.

Banking

Banking Kafka Cloud Storage Government

Release Management For Data Platform Services And Logic

Data Engineering Podcast

MAY 12, 2024

In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. Data lakes are notoriously complex. Code Comments Podcast Logo]([link] Putting new technology to use is an exciting prospect.

Management

Management Data Lake High Quality Data 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

Making Email Better With AI At Shortwave

Data Engineering Podcast

APRIL 21, 2024

Summary Generative AI has rapidly transformed everything in the technology sector. Data lakes are notoriously complex. Contact Info LinkedIn Blog Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Your first 30 days are free!

Data Lake

Data Lake High Quality Data Data Pipeline Machine Learning

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

FEBRUARY 18, 2024

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 Data Warehouse Google Cloud

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Data Engineering Podcast

MARCH 31, 2024

Identifying and accounting for those errors is a critical piece of building trust in the organization that your data is accurate and up to date. While there are numerous products available to provide that visibility, they all have different technologies and workflows that they focus on. Your first 30 days are free!

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

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 Hadoop Data Pipeline

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

Data Engineering Podcast

MAY 5, 2024

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.

Building

Building Data Lake High Quality Data Machine Learning

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. How does that change as a function of the type of data? What are the requirements around governance and auditability of data access that need to be addressed when sharing data?

Data Lake

Data Lake High Quality Data Government 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

Build Your Second Brain One Piece At A Time

Data Engineering Podcast

APRIL 28, 2024

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.

Building

Building Data Lake High Quality Data Machine Learning

Troubleshooting Kafka In Production

Data Engineering Podcast

DECEMBER 24, 2023

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Data lakes are notoriously complex. Contact Info LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Kafka

Kafka Data Lake High Quality Data SQL

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. Contact Info yingjunwu on GitHub Personal Website LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

SQL

SQL Data Lake High Quality Data Data Pipeline

When And How To Conduct An AI Program

Data Engineering Podcast

MARCH 3, 2024

Summary Artificial intelligence technologies promise to revolutionize business and produce new sources of value. Colleen Tartow has worked across all stages of the data lifecycle, and in this episode she shares her hard-earned wisdom about how to conduct an AI program for your organization. Data lakes are notoriously complex.

Programming

Programming Data Lake High Quality Data Data Pipeline

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

Data Engineering Podcast

JANUARY 7, 2024

Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. Unfortunately, the volumes of data that are being generated continue to double, requiring further advancements in the platform capabilities to keep up. What do you have planned for the future of your academic research?

Data Process

Data Process Process Data Lake High Quality Data

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. What are the primary sources and types of data that fintech organizations are working with? What are the business-level capabilities that are dependent on this data?

Designing

Designing Data Lake High Quality Data SQL

Version Your Data Lakehouse Like Your Software With Nessie

Data Engineering Podcast

MARCH 10, 2024

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 Data Pipeline Architecture

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. Contact Info LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? When is Scanner the wrong choice?

Data Lake

Data Lake Building High Quality Data AWS

Designing Data Transfer Systems That Scale

Data Engineering Podcast

DECEMBER 3, 2023

This episode is brought to you by Datafold – a testing automation platform for data engineers that finds data quality issues for every part of your data workflow, from migration to deployment. Datafold has recently launched a 3-in-1 product experience to support accelerated data migrations. Datafold : ![Datafold]([link]

Systems

Systems Designing Data Lake SQL

Modern Customer Data Platform Principles

Data Engineering Podcast

JANUARY 21, 2024

A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

Data Lake

Data Lake High Quality Data NoSQL 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

Addressing The Challenges Of Component Integration In Data Platform Architectures

Data Engineering Podcast

NOVEMBER 26, 2023

Summary Building a data platform that is enjoyable and accessible for all of its end users is a substantial challenge. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Data lakes are notoriously complex.

Architecture

Architecture Data Lake High Quality Data SQL

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

DataOps Tools: Key Capabilities & 5 Tools You Must Know About

Databand.ai

AUGUST 30, 2023

Data Orchestration Data orchestration refers to the coordination and management of data workflows, from data ingestion to data processing and analysis. DataOps tools should offer powerful data orchestration capabilities, allowing organizations to build, schedule, and monitor data workflows with ease.

Data Cleanse

Data Cleanse Data Pipeline Data Ingestion Data Validation

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

Databand.ai

AUGUST 30, 2023

Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps, and analytics. The goal of this strategy is to streamline the entire process of extracting insights from raw data by removing silos between teams and technologies.

Data Governance

Data Governance Data Cleanse Government Data Pipeline

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. (as

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

What is Data Orchestration?

Monte Carlo

MAY 25, 2023

Automated data orchestration removes data bottlenecks by eliminating the need for manual data preparation, enabling analysts to both extract and activate data in real-time. Improved data governance. The organization phase , in which data orchestration tools gather and organize data pipelines.

Data Pipeline

Data Pipeline Data Workflow Data Data Governance

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. . Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs.

Consulting

Consulting Machine Learning Data Science Data Pipeline

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

JUNE 14, 2023

This frequently involves, in some order, extraction (from a source system), transformation (where data is combined with other data and put into the desired format), and loading (into storage where it can be accessed). Most organizations deploy some or all of these data pipeline architectures.

Data Pipeline

Data Pipeline Architecture Data Lake Data Warehouse

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

Data Engineering Podcast

APRIL 7, 2024

Summary Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. Data lakes are notoriously complex. Your first 30 days are free!

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

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Software Engineering principles apply to the complete data product lifecycle.

IT

IT AWS Software Engineer Software Engineering

The Top Data Strategy Influencers and Content Creators on LinkedIn

Databand.ai

DECEMBER 29, 2022

Follow Ravit on LinkedIn 5) Priya Krishnan Head of Product Management, Data and AI at IBM Priya is an innovative, customer-focused, data-driven product executive with over 16 years of experience in global product management, strategy, and GTM roles to commercialize and monetize in-demand enterprise solutions.

BI

BI Consulting Data Science Data Governance

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

AltexSoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Data democratization.

IT

IT Data Warehouse Data Governance Data Lake

Toward a Data Mesh (part 2) : Architecture & Technologies

DataOps Framework: 4 Key Components and How to Implement Them

Webinars

Trending Sources

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

Webinars

Better Data Quality Through Observability With Monte Carlo

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

Zenlytic Is Building You A Better Coworker With AI Agents

The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part I)

Release Management For Data Platform Services And Logic

Designing A Non-Relational Database Engine

Making Email Better With AI At Shortwave

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

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

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

Data Sharing Across Business And Platform Boundaries

Reconciling The Data In Your Databases With Datafold

Build Your Second Brain One Piece At A Time

Troubleshooting Kafka In Production

Tackling Real Time Streaming Data With SQL Using RisingWave

When And How To Conduct An AI Program

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

Designing Data Platforms For Fintech Companies

Version Your Data Lakehouse Like Your Software With Nessie

Build A Data Lake For Your Security Logs With Scanner

Designing Data Transfer Systems That Scale

Modern Customer Data Platform Principles

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

Addressing The Challenges Of Component Integration In Data Platform Architectures

Shining Some Light In The Black Box Of PostgreSQL Performance

DataOps Tools: Key Capabilities & 5 Tools You Must Know About

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

Unlocking Your dbt Projects With Practical Advice For Practitioners

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

What is Data Orchestration?

The DataOps Vendor Landscape, 2021

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

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 Top Data Strategy Influencers and Content Creators on LinkedIn

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

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