Data Lake, 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. Part 1: Why did we need to build our own SIEM?

Data Engineering

Data Engineering Data Engineer Pipeline-centric Engineering

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

[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

Webinars

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

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

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. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.

Data Lake

Data Lake Building High Quality Data AWS

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

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

Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

NOVEMBER 4, 2021

The typical pharmaceutical organization faces many challenges which slow down the data team: Raw, barely integrated data sets require engineers to perform manual , repetitive, error-prone work to create analyst-ready data sets. Cloud computing has made it much easier to integrate data sets, but that’s only the beginning.

Process

Process Data Process Pharmaceutical Data Lake

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

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. Multiple open source projects and vendors have been working together to make this vision a reality.

Data Lake

Data Lake High Quality Data Data Warehouse Google Cloud

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

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

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

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.

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

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

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

Monte Carlo’s Series D and the Future of Data Observability

Monte Carlo

MAY 24, 2022

Before launching Monte Carlo, I spoke with hundreds of data leaders who all struggled to deliver high quality data despite having their teams spend upwards of 30% of their time and millions of dollars per year on this issue. JetBlue accelerated their data quality processes to match the real-time needs of their business.

High Quality Data

High Quality Data Data Lake Media Data

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

DataOps For Business Analytics Teams

DataKitchen

JANUARY 3, 2022

If the IT or data engineering team can’t respond with an enabling data platform in the required time frame, the business analyst does the necessary data work themselves. This ad hoc data engineering work often means coping with numerous data tables and diverse data sets using Alteryx, SQL, Excel or similar tools. .

Business Analyst

Business Analyst Data Lake Consulting Data Analytics

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

Data Lake

Data Lake High Quality Data Data Pipeline Architecture

Release Management For Data Platform Services And Logic

Data Engineering Podcast

MAY 12, 2024

Summary Building a data platform is a substrantial engineering endeavor. 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.

Management

Management Data Lake High Quality Data Machine Learning

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

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

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

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

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

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. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.

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. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.

Data Process

Data Process Process Data Lake High Quality Data

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

Build vs Buy Data Pipeline Guide

Monte Carlo

APRIL 24, 2023

During data ingestion, raw data is extracted from sources and ferried to either a staging server for transformation or directly into the storage level of your data stack—usually in the form of a data warehouse or data lake. There are two primary types of raw data. Missed Nishith’s 5 considerations?

Data Pipeline

Data Pipeline Building Data Ingestion BI

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

Unlocking Your dbt Projects With Practical Advice For Practitioners

Data Engineering Podcast

NOVEMBER 19, 2023

Summary The dbt project has become overwhelmingly popular across analytics and data engineering teams. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data projects are notoriously complex. Data lakes are notoriously complex.

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

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management You shouldn't have to throw away the database to build with fast-changing data. Data lakes are notoriously complex. Data lakes are notoriously complex. Want to see Starburst in action?

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

Data Pipelines in the Healthcare Industry

DareData

JULY 29, 2020

With these points in mind, I argue that the biggest hurdle to the widespread adoption of these advanced techniques in the healthcare industry is not intrinsic to the industry itself, or in any way related to its practitioners or patients, but simply the current lack of high-quality data pipelines.

Healthcare

Healthcare Data Pipeline Medical Pipeline-centric

What is Data Observability? 5 Key Pillars To Know

Monte Carlo

AUGUST 10, 2023

Data observability tools employ automated monitoring, root cause analysis, data lineage, and data health insights to proactively detect, resolve, and prevent data anomalies. Freshness : Freshness seeks to understand how up-to-date your data tables are, as well as the cadence at which your tables are updated.

Data Pipeline

Data Pipeline Software Engineer Software Engineering Machine Learning

How Assurance Achieves Data Trust at Scale for Financial Services with Data Observability

Monte Carlo

MAY 23, 2023

The ACE comprises all types of data contributors, from analytics engineers to data engineers to business intelligence analysts, who collaborate to help the business make more strategic decisions using data. Data observability. The platform has introduced a host of other data-related possibilities.

Insurance

Insurance Business Intelligence Machine Learning Data

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. Dagster offers a new approach to building and running data platforms and data pipelines.

Data Lake

Data Lake High Quality Data BI Data Workflow

Data Engineering Weekly #161

How to become Azure Data Engineer I Edureka

Webinars

Trending Sources

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

Webinars

Data Observability Tools: Types, Capabilities, and Notable Solutions

Build A Data Lake For Your Security Logs With Scanner

Forge Your Career Path with Best Data Engineering Certifications

Designing A Non-Relational Database Engine

Centralize Your Data Processes With a DataOps Process Hub

Zenlytic Is Building You A Better Coworker With AI Agents

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Making Email Better With AI At Shortwave

X-Ray Vision For Your Flink Stream Processing With Datorios

Practical First Steps In Data Governance For Long Term Success

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

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

Build Your Second Brain One Piece At A Time

Monte Carlo’s Series D and the Future of Data Observability

Troubleshooting Kafka In Production

DataOps For Business Analytics Teams

Version Your Data Lakehouse Like Your Software With Nessie

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

Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine

Data Migration Strategies For Large Scale Systems

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

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

Build vs Buy Data Pipeline Guide

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

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

Data Pipelines in the Healthcare Industry

What is Data Observability? 5 Key Pillars To Know

How Assurance Achieves Data Trust at Scale for Financial Services with Data Observability

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

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