Data Pipeline, Data Workflow and Engineering

Snowflake’s New Python API Empowers Data Engineers to Build Modern Data Pipelines with Ease

Snowflake

APRIL 17, 2024

This traditional SQL-centric approach often challenged data engineers working in a Python environment, requiring context-switching and limiting the full potential of Python’s rich libraries and frameworks. To get started, explore the comprehensive API documentation , which will guide you through every step.

Data Pipeline

Data Pipeline Python Data Engineering Data Engineer

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

Improve Data Quality Through Engineering Rigor And Business Engagement With Synq

Data Engineering Podcast

JUNE 30, 2024

Petr shares his journey from being an engineer to founding Synq, emphasizing the importance of treating data systems with the same rigor as engineering systems. He discusses the challenges and solutions in data reliability, including the need for transparency and ownership in data systems.

Pipeline-centric

Pipeline-centric Engineering Data Lake High Quality Data

Webinars

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. We’ll answer the question, “What are data pipelines?” Table of Contents What are Data Pipelines?

Data Pipeline

Data Pipeline Designing Data Lake Data Warehouse

New Fivetran connector streamlines data workflows for real-time insights

ThoughtSpot

SEPTEMBER 6, 2023

Those coveted insights live at the end of a process lovingly known as the data pipeline. The pathway from ETL to actionable analytics can often feel disconnected and cumbersome, leading to frustration for data teams and long wait times for business users. The key to this automation is their fully managed connectors.

Data Workflow

Data Workflow Raw Data Data Lake Business Intelligence

Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

Data Engineering Podcast

SEPTEMBER 11, 2022

Building reliable data pipelines is a complex and costly undertaking with many layered requirements. In order to reduce the amount of time and effort required to build pipelines that power critical insights Manish Jethani co-founded Hevo Data. Data stacks are becoming more and more complex.

Data Pipeline

Data Pipeline Building MongoDB Scala

Data Engineering Weekly #196

Data Engineering Weekly

NOVEMBER 3, 2024

The blog emphasizes the importance of starting with a clear client focus to avoid over-engineering and ensure user-centric development. Sampling is an obvious strategy for data size, but the layered approach and dynamic inclusion of dependencies are some key techniques I learned with the case study.

Data Engineering

Data Engineering Data Engineer Engineering Pipeline-centric

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

4 Ways to Tackle Data Pipeline Optimization

Monte Carlo

FEBRUARY 8, 2024

Just as a watchmaker meticulously adjusts every tiny gear and spring in harmonious synchrony for flawless performance, modern data pipeline optimization requires a similar level of finesse and attention to detail. Learn how cost, processing speed, resilience, and data quality all contribute to effective data pipeline optimization.

Data Pipeline

Data Pipeline AWS Datasets Data

Making Data Pipelines Self-Serve For Everyone With Shipyard

Data Engineering Podcast

JUNE 1, 2021

Summary Every part of the business relies on data, yet only a small team has the context and expertise to build and maintain workflows and data pipelines to transform, clean, and integrate it. RudderStack’s smart customer data pipeline is warehouse-first.

Data Pipeline

Data Pipeline Data Warehouse Data Data Workflow

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

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

What Is Data Pipeline Automation?

Ascend.io

MARCH 17, 2023

As a result, stakeholders limit their reliance on data, making decisions based on gut instinct rather than facts. To shift this harmful approach, companies need to make fundamental changes to their data engineering function and start running at speed and with agility. In fact, it’s been a recurring theme in software engineering.

Data Pipeline

Data Pipeline Datasets Data Software Engineer

What Is Data Pipeline Automation?

Ascend.io

MARCH 17, 2023

As a result, stakeholders limit their reliance on data, making decisions based on gut instinct rather than facts. To shift this harmful approach, companies need to make fundamental changes to their data engineering function and start running at speed and with agility. In fact, it’s been a recurring theme in software engineering.

Data Pipeline

Data Pipeline Datasets Data Software Engineer

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

Data Pipeline vs. ETL: Which Delivers More Value?

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines.

Data Pipeline

Data Pipeline ETL Tools Pipeline-centric Data Warehouse

Why You Shouldn’t Use Notebooks for Production Data Pipelines

Ascend.io

AUGUST 18, 2023

This not only jeopardizes the integrity and robustness of production environments but also compounds challenges for both data scientists and engineers. This article delves into the reasons behind our assertion: data science notebooks are not your best choice for production data pipelines.

Data Pipeline

Data Pipeline Programming Language Data Science Coding

Stitching Together Enterprise Analytics With Microsoft Fabric

Data Engineering Podcast

JUNE 23, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. What are the elements of Fabric that were engineered specifically for the service? What are the benefits of embedding Copilot into the data engine?

Data Lake

Data Lake High Quality Data Hadoop Machine Learning

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Data Engineering Podcast

MARCH 31, 2024

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

Project

Project Data Lake High Quality Data Data Workflow

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

Being Data Driven At Stripe With Trino And Iceberg

Data Engineering Podcast

JUNE 16, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Powered by Trino, the query engine Apache Iceberg was designed for, Starburst is an open platform with support for all table formats including Apache Iceberg, Hive, and Delta Lake.

Data Lake

Data Lake High Quality Data Metadata Machine Learning

Effective Pandas Patterns For Data Engineering

Data Engineering Podcast

JANUARY 30, 2022

Summary Pandas is a powerful tool for cleaning, transforming, manipulating, or enriching data, among many other potential uses. As a result it has become a standard tool for data engineers for a wide range of applications. The only thing worse than having bad data is not knowing that you have it.

Data Engineering

Data Engineering Data Engineer Engineering Python

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. Your first 30 days are free!

Database

Database Data Lake High Quality Data Data Workflow

Data pipeline asset management with Dataflow

Netflix Tech

FEBRUARY 9, 2022

JAR) form to be executed as part of the user defined data pipeline. data pipeline ?—?a DAG) for the purpose of transforming data using some business logic. Netflix homegrown CLI tool for data pipeline management. workflow ?—?see SQL) or compiled (e.g. Dataflow ?—?Netflix namespace ?

Data Pipeline

Data Pipeline Management Scala Python

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

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

JUNE 14, 2023

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

Data Pipeline

Data Pipeline Architecture Data Lake Data Warehouse

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

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

Build vs Buy Data Pipeline Guide

Monte Carlo

APRIL 24, 2023

The ingestion process can be broadly categorized into 3 paradigms: Batch: import data in bulk from varied sources Streaming: ingest event style data Incremental (or mini batch): in between batch and streaming Source : Fundamentals of Data Engineering by Joe Reis and Matt Housley. Missed Nishith’s 5 considerations?

Data Pipeline

Data Pipeline Building Data Ingestion BI

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

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

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

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. Unfortunately, reasoning about stream processing engines is complex and lacks sufficient tooling.

Process

Process Data Lake High Quality Data Machine Learning

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

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

Snowflake Summit 2024 Reflections: An Exciting Road Ahead for Data Engineering

Ascend.io

JUNE 10, 2024

Snowflake Summit 2024 has set the stage for exciting changes in the data landscape. As a data enthusiast and a leader in data engineering, I’m eager to share my reflections on these innovations and their implications for Ascend. Snowflake’s investment in expanding data engineering capabilities is a game-changer.

Data Engineering

Data Engineering Data Engineer Engineering 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. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free!

Programming

Programming Data Lake High Quality Data Data Pipeline

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

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

Introducing Snowflake Notebooks, an End-to-End Interactive Environment for Data & AI Teams

Snowflake

JUNE 6, 2024

You can now use Snowflake Notebooks to simplify the process of connecting to your data and to amplify your data engineering, analytics and machine learning workflows. Notebook usage follows the same consumption-based model as Snowflake’s compute engine. Train and manage your AI/ML models directly in your notebook.

SQL

SQL Python Data Workflow Machine Learning

An Exploration Of What Data Automation Can Provide To Data Engineers And Ascend's Journey To Make It A Reality

Data Engineering Podcast

AUGUST 28, 2022

Summary The dream of every engineer is to automate all of their tasks. For data engineers, this is a monumental undertaking. Orchestration engines are one step in that direction, but they are not a complete solution. The only thing worse than having bad data is not knowing that you have it.

Data Engineering

Data Engineering Data Engineer MongoDB Metadata

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

Deploying AI to Enhance Data Quality and Reliability

Ascend.io

SEPTEMBER 6, 2024

AI-driven data quality workflows deploy machine learning to automate data cleansing, detect anomalies, and validate data. Integrating AI into data workflows ensures reliable data and enables smarter business decisions. Data quality is the backbone of successful data engineering projects.

Data Cleanse

Data Cleanse Data Workflow Data Pipeline Machine Learning

Azure Data Engineer Job Description [Roles and Responsibilities]

Knowledge Hut

SEPTEMBER 25, 2023

This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. They are moving their servers and on-premises data to Azure Cloud. What does all of this mean for Data Engineering professionals? Who is an Azure Data Engineer? Azure Data Engineers work with these and other solutions.

Data Engineering

Data Engineering Data Engineer Engineering Data Lake

Snowflake’s New Python API Empowers Data Engineers to Build Modern Data Pipelines with Ease

Designing A Non-Relational Database Engine

Webinars

Trending Sources

Improve Data Quality Through Engineering Rigor And Business Engagement With Synq

Webinars

A Guide to Data Pipelines (And How to Design One From Scratch)

New Fivetran connector streamlines data workflows for real-time insights

Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

Data Engineering Weekly #196

Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine

4 Ways to Tackle Data Pipeline Optimization

Making Data Pipelines Self-Serve For Everyone With Shipyard

Zenlytic Is Building You A Better Coworker With AI Agents

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

What Is Data Pipeline Automation?

What Is Data Pipeline Automation?

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Pipeline vs. ETL: Which Delivers More Value?

Why You Shouldn’t Use Notebooks for Production Data Pipelines

Stitching Together Enterprise Analytics With Microsoft Fabric

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Making Email Better With AI At Shortwave

Being Data Driven At Stripe With Trino And Iceberg

Effective Pandas Patterns For Data Engineering

Reconciling The Data In Your Databases With Datafold

Data pipeline asset management with Dataflow

Tackling Real Time Streaming Data With SQL Using RisingWave

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

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

Build Your Second Brain One Piece At A Time

Build vs Buy Data Pipeline Guide

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

Release Management For Data Platform Services And Logic

Designing Data Transfer Systems That Scale

X-Ray Vision For Your Flink Stream Processing With Datorios

Data Sharing Across Business And Platform Boundaries

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

Snowflake Summit 2024 Reflections: An Exciting Road Ahead for Data Engineering

When And How To Conduct An AI Program

Practical First Steps In Data Governance For Long Term Success

Troubleshooting Kafka In Production

Introducing Snowflake Notebooks, an End-to-End Interactive Environment for Data & AI Teams

An Exploration Of What Data Automation Can Provide To Data Engineers And Ascend's Journey To Make It A Reality

Version Your Data Lakehouse Like Your Software With Nessie

Deploying AI to Enhance Data Quality and Reliability

Azure Data Engineer Job Description [Roles and Responsibilities]

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