Data Management, Data Pipeline and High Quality Data

Data Quality Platform: Benefits, Key Features, and How to Choose

Databand.ai

JULY 11, 2023

By automating many of the processes involved in data quality management, data quality platforms can help organizations reduce errors, streamline workflows, and make better use of their data assets. This functionality is critical for not only fixing current issues but also preventing future ones.

Data Cleanse

Data Cleanse Telecommunication High Quality Data BI

DataOps vs. MLOps: Similarities, Differences, and How to Choose

Databand.ai

JULY 17, 2023

DataOps , short for Data Operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data management processes. It aims to streamline the entire data lifecycle—from ingestion and preparation to analytics and reporting.

Data Pipeline

Data Pipeline Machine Learning High Quality Data BI

Data Consistency vs Data Integrity: Similarities and Differences

Databand.ai

AUGUST 30, 2023

This allows organizations to improve data quality and make better data-driven decisions. Operational Efficiency Inefficient data management can lead to significant time and resource consumption, negatively impacting the operational efficiency of an organization.

Data Integration

Data Integration Data Cleanse Data Validation High Quality Data

Webinars

The Product Manager’s Guide to Optimizing DX for Systemic Impact

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

How To Get Promoted In Product Management

MORE WEBINARS

AI Implementation: The Roadmap to Leveraging AI in Your Organization

Ascend.io

JANUARY 10, 2024

Visual representation of Conway’s Law ( source ) Read More: The Chief AI Officer: Avoid The Trap of Conway’s Law Process: Ensuring Data Readiness The backbone of successful AI implementation is robust data management processes. AI models are only as good as the data they consume, making continuous data readiness crucial.

Data Pipeline

Data Pipeline Government Data Governance Raw Data

Data Engineering Weekly #161

Data Engineering Weekly

MARCH 3, 2024

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems.

Data Engineering

Data Engineering Data Engineer Pipeline-centric Engineering

Building a Winning Data Quality Strategy: Step by Step

Databand.ai

AUGUST 30, 2023

This includes defining roles and responsibilities related to managing datasets and setting guidelines for metadata management. Benefits of a Data Quality Strategy Implementing a robust data quality strategy offers numerous benefits that directly impact your business’s bottom line and overall success.

Building

Building Data Cleanse Data Governance Datasets

The Symbiotic Relationship Between AI and Data Engineering

Ascend.io

FEBRUARY 28, 2024

While data engineering and Artificial Intelligence (AI) may seem like distinct fields at first glance, their symbiosis is undeniable. The foundation of any AI system is high-quality data. Here lies the critical role of data engineering: preparing and managing data to feed AI models.

Data Engineering

Data Engineering Data Engineer Engineering Metadata

Visionary Data Quality Paves the Way to Data Integrity

Precisely

MARCH 14, 2023

Read Quality data you can depend on – today, tomorrow, and beyond For many years Precisely customers have ensured the accuracy of data across their organizations by leveraging our leading data solutions including Trillium Quality, Spectrum Quality, and Data360 DQ+. What does all this mean for your business?

Data Integration

Data Integration High Quality Data BI Data

Intrinsic Data Quality: 6 Essential Tactics Every Data Engineer Needs to Know

Monte Carlo

JANUARY 10, 2024

On the other hand, “Can the marketing team easily segment the customer data for targeted communications?” usability) would be about extrinsic data quality. This is known as data governance. Without defined processes, managing your data could become a haphazard effort.

Data Cleanse

Data Cleanse Data Engineering Data Engineer Engineering

Data Observability Tools: Types, Capabilities, and Notable Solutions

Databand.ai

JULY 5, 2023

What Are Data Observability Tools? Data observability tools are software solutions that oversee, analyze, and improve the performance of data pipelines. Data observability tools allow teams to detect issues such as missing values, duplicate records, or inconsistent formats early on before they affect downstream processes.

Data Pipeline

Data Pipeline Data Lake Data Warehouse Datasets

[O’Reilly Book] Chapter 1: Why Data Quality Deserves Attention Now

Monte Carlo

AUGUST 31, 2023

As the data analyst or engineer responsible for managing this data and making it usable, accessible, and trustworthy, rarely a day goes by without having to field some request from your stakeholders. But what happens when the data is wrong? In our opinion, data quality frequently gets a bad rep.

Data Lake

Data Lake Data Pipeline Unstructured Data Data Warehouse

Data Integrity vs. Data Quality: 4 Key Differences You Can’t Confuse

Monte Carlo

JUNE 16, 2023

Data integrity and quality may seem similar at first glance, and they are sometimes used interchangeably in everyday life, but they play unique roles in successful data management. Impact Now that you understand the purpose of data integrity and data quality, what is their impact on data management and decision-making?

Data Integration

Data Integration Hospitality Banking Healthcare

Data Integrity vs. Data Validity: Key Differences with a Zoo Analogy

Monte Carlo

MARCH 24, 2023

The key differences are that data integrity refers to having complete and consistent data, while data validity refers to correctness and real-world meaning – validity requires integrity but integrity alone does not guarantee validity. What is Data Integrity? How Do You Maintain Data Integrity?

Data Validation

Data Validation Data Integration Data Cleanse Data Pipeline

How to become Azure Data Engineer I Edureka

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering

Data Engineering Data Engineer Engineering Programming Language

5 ETL Best Practices You Shouldn’t Ignore

Monte Carlo

OCTOBER 5, 2023

Ensure data quality Even if there are no errors during the ETL process, you still have to make sure the data meets quality standards. High-quality data is crucial for accurate analysis and informed decision-making. Ready to leap to the next level of data management prowess?

Data Cleanse

Data Cleanse ETL Tools Datasets High Quality Data

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

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

FEBRUARY 18, 2024

In this episode Dain Sundstrom, CTO of Starburst, explains how the combination of the Trino query engine and the Iceberg table format offer the ease of use and execution speed of data warehouses with the infinite storage and scalability of data lakes. Data lakes are notoriously complex. Your first 30 days are free!

Data Lake

Data Lake High Quality Data Data Warehouse Google Cloud

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

Data Engineering Podcast

MARCH 24, 2024

In this episode Pete Hunt, CEO of Dagster labs, outlines these new capabilities, how they reduce the burden on data teams, and the increased collaboration that they enable across teams and business units. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free!

Data Lake

Data Lake High Quality Data Hadoop Data Pipeline

Building a Future in Banking and Capital Markets

The Modern Data Company

DECEMBER 29, 2022

For example, using artificial intelligence and machine learning, banks can better protect customer identities across multiple channels while ensuring that sensitive customer data remains absolutely secure. DataOS is the world’s first operating system.

Banking

Banking Pipeline-centric Building Finance

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. Data lakes are notoriously complex. Your first 30 days are free!

Building

Building 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

Build Your Second Brain One Piece At A Time

Data Engineering Podcast

APRIL 28, 2024

In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain. Data lakes are notoriously complex. Data lakes are notoriously complex. Your first 30 days are free!

Building

Building Data Lake High Quality Data Machine Learning

Release Management For Data Platform Services And Logic

Data Engineering Podcast

MAY 12, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. Data lakes are notoriously complex. Data lakes are notoriously complex. My thanks to the team at Code Comments for their support.

Management

Management Data Lake High Quality Data Machine Learning

Tackling Real Time Streaming Data With SQL Using RisingWave

Data Engineering Podcast

FEBRUARY 4, 2024

In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

SQL

SQL Data Lake High Quality Data Data Pipeline

When And How To Conduct An AI Program

Data Engineering Podcast

MARCH 3, 2024

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. What do you have planned for the future of your work at VAST Data? Your first 30 days are free!

Programming

Programming Data Lake High Quality Data Data Pipeline

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

Reconciling The Data In Your Databases With Datafold

Data Engineering Podcast

MARCH 17, 2024

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. Can you start by outlining some of the situations where reconciling data between databases is needed?

Database

Database Data Lake High Quality Data Data Workflow

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. What do you have planned for the future of Elementary?

Project

Project Data Lake High Quality Data Data Workflow

Troubleshooting Kafka In Production

Data Engineering Podcast

DECEMBER 24, 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.

Kafka

Kafka Data Lake High Quality Data SQL

Data Sharing Across Business And Platform Boundaries

Data Engineering Podcast

FEBRUARY 11, 2024

In this episode Andrew Jefferson explains the complexities of building a robust system for data sharing, the techno-social considerations, and how the Bobsled platform that he is building aims to simplify the process. Dagster offers a new approach to building and running data platforms and data pipelines.

Data Lake

Data Lake High Quality Data Government Data Pipeline

Version Your Data Lakehouse Like Your Software With Nessie

Data Engineering Podcast

MARCH 10, 2024

In this episode Alex Merced explains how the branching and merging functionality in Nessie allows you to use the same versioning semantics for your data lakehouse that you are used to from Git. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free!

Data Lake

Data Lake High Quality Data Data Pipeline Architecture

Data Teams and Their Types of Data Journeys

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. Did each technology start and end successfully and on time?)

Data Ingestion

Data Ingestion Data Government Datasets

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. What are the open questions today in technical scalability of data engines? What are the open questions today in technical scalability of data engines?

Data Process

Data Process Process Data Lake High Quality Data

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?

Data Lake

Data Lake Building High Quality Data AWS

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

DataKitchen

JULY 27, 2023

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure.

Data Pipeline

Data Pipeline BI Machine Learning Data Preparation

Forge Your Career Path with Best Data Engineering Certifications

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc. This exam can be taken only in the English language.

Certification

Certification Data Engineering Data Engineer Engineering

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. Sponsored By: Starburst : ![Starburst

Systems

Systems Designing Data Lake SQL

Designing Data Platforms For Fintech Companies

Data Engineering Podcast

DECEMBER 31, 2023

In this episode Andrey Korchack, CTO of fintech startup Monite, discusses the complexities of designing and implementing a data platform in that sector. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

Designing

Designing Data Lake High Quality Data SQL

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

Data Engineering Podcast

DECEMBER 17, 2023

In this episode founder Tarush Aggarwal explains how the realities of the modern data stack are impacting data teams and the work that they are doing to accelerate time to value. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

Data Lake

Data Lake High Quality Data SQL Architecture

Shining Some Light In The Black Box Of PostgreSQL Performance

Data Engineering Podcast

NOVEMBER 5, 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.

PostgreSQL

PostgreSQL Data Lake High Quality Data SQL

Building An “Amazon.com” For Your Data Products

Monte Carlo

JUNE 20, 2023

Second step: Creating data product SLOs A key part of data product thinking is keeping the consumers at the center and considering what provides the most value for them. You can think of SLOs as measures that remove uncertainty surrounding the data and serve as a primary way to define trustworthiness for its consumers.

Building

Building Data Datasets High Quality Data

Modern Customer Data Platform Principles

Data Engineering Podcast

JANUARY 21, 2024

In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern customer data platform (CDP).

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

In this episode Tobias Macey shares his thoughts on the challenges that he is facing as he prepares to build the next set of architectural layers for his data platform to enable a larger audience to start accessing the data being managed by his team. Data lakes are notoriously complex.

Architecture

Architecture Data Lake High Quality Data SQL

Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine

Data Engineering Podcast

NOVEMBER 12, 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.

Software Engineer

Software Engineer Software Engineering Engineering Data Lake

Data Quality Platform: Benefits, Key Features, and How to Choose

DataOps vs. MLOps: Similarities, Differences, and How to Choose

Webinars

Trending Sources

Data Consistency vs Data Integrity: Similarities and Differences

Webinars

AI Implementation: The Roadmap to Leveraging AI in Your Organization

Data Engineering Weekly #161

Building a Winning Data Quality Strategy: Step by Step

The Symbiotic Relationship Between AI and Data Engineering

Visionary Data Quality Paves the Way to Data Integrity

Intrinsic Data Quality: 6 Essential Tactics Every Data Engineer Needs to Know

Data Observability Tools: Types, Capabilities, and Notable Solutions

[O’Reilly Book] Chapter 1: Why Data Quality Deserves Attention Now

Data Integrity vs. Data Quality: 4 Key Differences You Can’t Confuse

Data Integrity vs. Data Validity: Key Differences with a Zoo Analogy

How to become Azure Data Engineer I Edureka

5 ETL Best Practices You Shouldn’t Ignore

Making Email Better With AI At Shortwave

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

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

Building a Future in Banking and Capital Markets

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

Designing A Non-Relational Database Engine

Build Your Second Brain One Piece At A Time

Release Management For Data Platform Services And Logic

Tackling Real Time Streaming Data With SQL Using RisingWave

When And How To Conduct An AI Program

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

Reconciling The Data In Your Databases With Datafold

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Troubleshooting Kafka In Production

Data Sharing Across Business And Platform Boundaries

Version Your Data Lakehouse Like Your Software With Nessie

Data Teams and Their Types of Data Journeys

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

Build A Data Lake For Your Security Logs With Scanner

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

Forge Your Career Path with Best Data Engineering Certifications

Designing Data Transfer Systems That Scale

Designing Data Platforms For Fintech Companies

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

Shining Some Light In The Black Box Of PostgreSQL Performance

Building An “Amazon.com” For Your Data Products

Modern Customer Data Platform Principles

Addressing The Challenges Of Component Integration In Data Platform Architectures

Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine

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