Data Management, Data Pipeline, Engineering and High Quality Data

Data Engineering Weekly #161

Data Engineering Weekly

MARCH 3, 2024

There will be food, networking, and real-world talks around data engineering. 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

The Symbiotic Relationship Between AI and Data Engineering

Ascend.io

FEBRUARY 28, 2024

The rise of generative AI is changing more than just technology; it’s reshaping our professional landscapes — and yes, data engineering is directly experiencing the impact. How does AI recalibrate the workload and priorities of data teams? How can data engineers harness the power of AI?

Data Engineering

Data Engineering Data Engineer Engineering Metadata

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

Webinars

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

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

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 Data Ingestion

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

Forge Your Career Path with Best Data Engineering Certifications

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure?

Certification

Certification Data Engineering Data Engineer Engineering

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 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

Designing A Non-Relational Database Engine

Data Engineering Podcast

APRIL 14, 2024

The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

Non-relational Database

Non-relational Database Relational Database Database Designing

[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?

Data Lake

Data Lake Data Pipeline Unstructured Data Data Warehouse

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

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

Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

MAY 18, 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. My thanks to the team at Code Comments for their support.

Building

Building Data Lake High Quality Data Business Intelligence

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

Practical First Steps In Data Governance For Long Term Success

Data Engineering Podcast

JUNE 2, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. As someone who listens to the Data Engineering Podcast, you know that the road from tool selection to production readiness is anything but smooth or straight.

Data Governance

Data Governance Government Data Lake High Quality Data

X-Ray Vision For Your Flink Stream Processing With Datorios

Data Engineering Podcast

JUNE 9, 2024

Summary Streaming data processing enables new categories of data products and analytics. Unfortunately, reasoning about stream processing engines is complex and lacks sufficient tooling. Data lakes are notoriously complex. My thanks to the team at Code Comments for their support.

Process

Process 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

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. Instead of a patchwork set of tools and multiple copies of data, users can customize dashboards for the insights they really need.

Banking

Banking Pipeline-centric Building Finance

Tackling Real Time Streaming Data With SQL Using RisingWave

Data Engineering Podcast

FEBRUARY 4, 2024

RisingWave is a database engine that was created specifically for stream processing, with S3 as the storage layer. 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.

SQL

SQL Data Lake High Quality Data Data Pipeline

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

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

Data Migration Strategies For Large Scale Systems

Data Engineering Podcast

MAY 26, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. As someone who listens to the Data Engineering Podcast, you know that the road from tool selection to production readiness is anything but smooth or straight.

Systems

Systems Data Lake High Quality Data Google Cloud

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

Data Engineering Podcast

FEBRUARY 25, 2024

Summary Building a database engine requires a substantial amount of engineering effort and time investment. When Paul Dix decided to re-write the InfluxDB engine he found the Apache Arrow ecosystem ready and waiting with useful building blocks to accelerate the process. Data lakes are notoriously complex.

Database

Database Technology Data Lake High Quality Data

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

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. Go to dataengineeringpodcast.com/dagster today to get started.

Building

Building Data Lake High Quality Data Machine Learning

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

Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine

Data Engineering Podcast

NOVEMBER 12, 2023

Generative AI has accelerated the ability of developer tools to provide useful suggestions that speed up the work of engineers. Tabnine is one of the main platforms offering an AI powered assistant for software engineers. Learn more about Datafold by visiting dataengineeringpodcast.com/datafold Data lakes are notoriously complex.

Software Engineer

Software Engineer Software Engineering Engineering Data Lake

Release Management For Data Platform Services And Logic

Data Engineering Podcast

MAY 12, 2024

Summary Building a data platform is a substrantial engineering endeavor. Once it is running, the next challenge is figuring out how to address release management for all of the different component parts. 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

Version Your Data Lakehouse Like Your Software With Nessie

Data Engineering Podcast

MARCH 10, 2024

Summary Data lakehouse architectures are gaining popularity due to the flexibility and cost effectiveness that they offer. The link that bridges the gap between data lake and warehouse capabilities is the catalog. Data lakes are notoriously complex. What is involved in integrating Nessie into a given data stack?

Data Lake

Data Lake High Quality Data Data Pipeline Architecture

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. Go to dataengineeringpodcast.com/dagster today to get started.

Project

Project Data Lake High Quality Data Data Workflow

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

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 do you have planned for the future of your academic research?

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. SIEM) A query engine is useless without data to analyze. What are the data acquisition paths/sources that you are designed to work with?

Data Lake

Data Lake Building High Quality Data AWS

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. The post Data Teams and Their Types of Data Journeys first appeared on DataKitchen.

Data Ingestion

Data Ingestion Data Government Datasets

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. With Materialize, you can!

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

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

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

Data Engineering Podcast

DECEMBER 17, 2023

Summary The "modern data stack" promised a scalable, composable data platform that gave everyone the flexibility to use the best tools for every job. 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.

Data Lake

Data Lake High Quality Data SQL Architecture

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

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. Developing event-driven pipelines is going to be a lot easier - Meet Functions!

Architecture

Architecture Data Lake High Quality Data SQL

Data Engineering Weekly #161

The Symbiotic Relationship Between AI and Data Engineering

Webinars

Trending Sources

How to become Azure Data Engineer I Edureka

Webinars

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

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

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

Forge Your Career Path with Best Data Engineering Certifications

AI Implementation: The Roadmap to Leveraging AI in Your Organization

Data Observability Tools: Types, Capabilities, and Notable Solutions

Designing A Non-Relational Database Engine

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

Visionary Data Quality Paves the Way to Data Integrity

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

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

Zenlytic Is Building You A Better Coworker With AI Agents

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Practical First Steps In Data Governance For Long Term Success

X-Ray Vision For Your Flink Stream Processing With Datorios

Making Email Better With AI At Shortwave

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

Building a Future in Banking and Capital Markets

Tackling Real Time Streaming Data With SQL Using RisingWave

Troubleshooting Kafka In Production

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

Data Migration Strategies For Large Scale Systems

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

When And How To Conduct An AI Program

Build Your Second Brain One Piece At A Time

Reconciling The Data In Your Databases With Datafold

Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine

Release Management For Data Platform Services And Logic

Version Your Data Lakehouse Like Your Software With Nessie

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Data Sharing Across Business And Platform Boundaries

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

Build A Data Lake For Your Security Logs With Scanner

Data Teams and Their Types of Data Journeys

Designing Data Transfer Systems That Scale

Designing Data Platforms For Fintech Companies

Shining Some Light In The Black Box Of PostgreSQL Performance

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

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

Modern Customer Data Platform Principles

Addressing The Challenges Of Component Integration In Data Platform Architectures

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