Data, Data Pipeline and Data Workflow - Data Engineering Digest

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. That’s where real-time data, and stream processing can help. We’ll answer the question, “What are data pipelines?”

Data Pipeline

Data Pipeline Designing Data Lake Data Warehouse

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

Snowflake

APRIL 17, 2024

In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. This allows your applications to handle large data sets and complex workflows efficiently.

Data Pipeline

Data Pipeline Python Data Engineer Data Engineering

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. Keep reading to see how it works. What is a SpotApp?

Data Workflow

Data Workflow Raw Data Data Lake Business Intelligence

Webinars

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

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

Data Engineering Podcast

SEPTEMBER 11, 2022

Summary Any business that wants to understand their operations and customers through data requires some form of pipeline. Building reliable data pipelines is a complex and costly undertaking with many layered requirements. Data stacks are becoming more and more complex. Sifflet also offers a 2-week free trial.

Data Pipeline

Data Pipeline Building MongoDB Scala

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

What Is Data Pipeline Automation?

Ascend.io

MARCH 17, 2023

Theoretically, data and analytics should be the backbones of decision-making in business. Like mitochondria power a cell, data powers a business. Today, there are no intelligent systems that deliver data at the pace, and with the impact, leaders need to power the business. But for most companies, that’s not the reality.

Data Pipeline

Data Pipeline Datasets Data Software Engineering

What Is Data Pipeline Automation?

Ascend.io

MARCH 17, 2023

Theoretically, data and analytics should be the backbones of decision-making in business. Like mitochondria power a cell, data powers a business. Today, there are no intelligent systems that deliver data at the pace, and with the impact, leaders need to power the business. But for most companies, that’s not the reality.

Data Pipeline

Data Pipeline Datasets Data Software Engineering

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 Engineer Data

Why You Shouldn’t Use Notebooks for Production Data Pipelines

Ascend.io

AUGUST 18, 2023

Jupyter Notebooks have fundamentally revolutionized how data scientists approach their tasks. This not only jeopardizes the integrity and robustness of production environments but also compounds challenges for both data scientists and engineers. They offer an unparalleled environment for experimentation and visualization.

Data Pipeline

Data Pipeline Programming Language Data Science Coding

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

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. Join in with the event for the global data community, Data Council Austin.

Data Lake

Data Lake High Quality Data Data Warehouse Google Cloud

Airflow Alternatives for Data Orchestration

Analytics Vidhya

AUGUST 7, 2024

Introduction Apache Airflow is a crucial component in data orchestration and is known for its capability to handle intricate workflows and automate data pipelines. Many organizations have chosen it due to its flexibility and strong scheduling capabilities.

Data Pipeline

Data Pipeline Data Process Data Workflow

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

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 pyspark-workflow ? ??? scala-workflow ???

Data Pipeline

Data Pipeline Management Scala Python

Being Data Driven At Stripe With Trino And Iceberg

Data Engineering Podcast

JUNE 16, 2024

Summary Stripe is a company that relies on data to power their products and business. In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face in supporting the myriad workloads that are thrown at this layer of their data platform.

Data Lake

Data Lake High Quality Data Metadata 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

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

Build vs Buy Data Pipeline Guide

Monte Carlo

APRIL 24, 2023

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. But it’s not just our data platform that impacts how we define the problem and its solution.

Data Pipeline

Data Pipeline Building Data Ingestion BI

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

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

Data Engineering Podcast

MARCH 24, 2024

Summary A core differentiator of Dagster in the ecosystem of data orchestration is their focus on software defined assets as a means of building declarative workflows. Data lakes are notoriously complex. Your first 30 days are free! Want to see Starburst in action? What problems are you trying to solve with Dagster+?

Data Lake

Data Lake High Quality Data Hadoop Data Pipeline

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

Data Sharing Across Business And Platform Boundaries

Data Engineering Podcast

FEBRUARY 11, 2024

Summary Sharing data is a simple concept, but complicated to implement well. There are also numerous technical considerations to be made, particularly if the producer and consumer of the data aren't using the same platforms. Dagster offers a new approach to building and running data platforms and data pipelines.

Data Lake

Data Lake High Quality Data Government Data Pipeline

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. Want to see Starburst in action?

Pipeline-centric

Pipeline-centric Engineering Data Lake High Quality Data

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

Practical First Steps In Data Governance For Long Term Success

Data Engineering Podcast

JUNE 2, 2024

Summary Modern businesses aspire to be data driven, and technologists enjoy working through the challenge of building data systems to support that goal. Data governance is the binding force between these two parts of the organization. What are some of the misconceptions that you encounter about data governance?

Data Governance

Data Governance Government Data Lake High Quality Data

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

Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

MAY 18, 2024

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

Building

Building Data Lake High Quality Data Business Intelligence

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. Join us at the top event for the global data community, Data Council Austin.

Data Lake

Data Lake High Quality Data Architecture Data Pipeline

Modern Customer Data Platform Principles

Data Engineering Podcast

JANUARY 21, 2024

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

Data Lake

Data Lake High Quality Data NoSQL Data Warehouse

Data Ops: Transforming the Way We Handle Data

Ascend.io

JULY 3, 2024

DataOps, short for Data Operations, integrates data engineering, data quality, and management with agile and DevOps practices. This methodology emphasizes automation, collaboration, and continuous improvement, ensuring faster, more reliable data workflows. Let’s dive in! What is DataOps? The result?

Data Workflow

Data Workflow Data Pipeline Data Data Engineer

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Data Engineering Podcast

MARCH 31, 2024

Summary Working with data is a complicated process, with numerous chances for something to go wrong. Identifying and accounting for those errors is a critical piece of building trust in the organization that your data is accurate and up to date. Dagster offers a new approach to building and running data platforms and data pipelines.

Project

Project Data Lake High Quality Data Data Workflow

Build A Data Lake For Your Security Logs With Scanner

Data Engineering Podcast

JANUARY 28, 2024

Summary Monitoring and auditing IT systems for security events requires the ability to quickly analyze massive volumes of unstructured log data. Cliff Crosland co-founded Scanner to provide fast querying of high scale log data for security auditing. SIEM) A query engine is useless without data to analyze.

Data Lake

Data Lake Building High Quality Data AWS

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

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. Faster, easier AI/ML and data engineering workflows Explore, analyze and visualize data using Python and SQL.

SQL

SQL Python Machine Learning 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. From a product perspective, what are the data challenges that are posed by email?

Data Lake

Data Lake High Quality Data Data Pipeline Machine Learning

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

Data Engineering Podcast

JANUARY 7, 2024

Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. Unfortunately, the volumes of data that are being generated continue to double, requiring further advancements in the platform capabilities to keep up. What are the open questions today in technical scalability of data engines?

Data Process

Data Process Process Data Lake High Quality Data

Stitching Together Enterprise Analytics With Microsoft Fabric

Data Engineering Podcast

JUNE 23, 2024

Summary Data lakehouse architectures have been gaining significant adoption. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. What are the benefits of embedding Copilot into the data engine? When is Fabric the wrong choice?

Data Lake

Data Lake High Quality Data Hadoop Machine Learning

Data Migration Strategies For Large Scale Systems

Data Engineering Podcast

MAY 26, 2024

When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments. Can you start by sharing some of your experiences with data migration projects?

Systems

Systems Data Lake High Quality Data Google Cloud

Airflow vs Azure Data Factory: Guide to Choose the Right Tool

Hevo

SEPTEMBER 1, 2024

Managing and orchestrating data workflows efficiently is crucial in today’s data-driven world. As the amount of data constantly increases with each passing day, so does the complexity of the pipelines handling such data processes.

Data Workflow

Data Workflow Data Pipeline Data Data Process

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. Your first 30 days are free! Want to see Starburst in action?

Building

Building Data Lake High Quality Data Machine Learning

Designing Data Platforms For Fintech Companies

Data Engineering Podcast

DECEMBER 31, 2023

Summary Working with financial data requires a high degree of rigor due to the numerous regulations and the risks involved in security breaches. In this episode Andrey Korchack, CTO of fintech startup Monite, discusses the complexities of designing and implementing a data platform in that sector. Want to see Starburst in action?

Designing

Designing Data Lake High Quality Data SQL

Data Engineering Weekly #196

Data Engineering Weekly

NOVEMBER 3, 2024

The challenges around memory, data size, and runtime are exciting to read. 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. This count helps to ensure data consistency when deleting and compacting segments.

Data Engineer

Data Engineer Data Engineering Engineering Pipeline-centric

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. Your first 30 days are free! Want to see Starburst in action?

Building

Building Data Lake High Quality Data Machine Learning

Addressing The Challenges Of Component Integration In Data Platform Architectures

Data Engineering Podcast

NOVEMBER 26, 2023

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

Architecture

Architecture Data Lake High Quality Data SQL

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

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

Webinars

Trending Sources

New Fivetran connector streamlines data workflows for real-time insights

Webinars

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

4 Ways to Tackle Data Pipeline Optimization

What Is Data Pipeline Automation?

What Is Data Pipeline Automation?

Making Data Pipelines Self-Serve For Everyone With Shipyard

Why You Shouldn’t Use Notebooks for Production Data Pipelines

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

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Airflow Alternatives for Data Orchestration

Data Pipeline vs. ETL: Which Delivers More Value?

Data pipeline asset management with Dataflow

Being Data Driven At Stripe With Trino And Iceberg

Reconciling The Data In Your Databases With Datafold

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Build vs Buy Data Pipeline Guide

Tackling Real Time Streaming Data With SQL Using RisingWave

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

Designing Data Transfer Systems That Scale

Data Sharing Across Business And Platform Boundaries

Improve Data Quality Through Engineering Rigor And Business Engagement With Synq

Release Management For Data Platform Services And Logic

Practical First Steps In Data Governance For Long Term Success

Designing A Non-Relational Database Engine

Zenlytic Is Building You A Better Coworker With AI Agents

Version Your Data Lakehouse Like Your Software With Nessie

Modern Customer Data Platform Principles

Data Ops: Transforming the Way We Handle Data

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Build A Data Lake For Your Security Logs With Scanner

Deploying AI to Enhance Data Quality and Reliability

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

Making Email Better With AI At Shortwave

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

Stitching Together Enterprise Analytics With Microsoft Fabric

Data Migration Strategies For Large Scale Systems

Airflow vs Azure Data Factory: Guide to Choose the Right Tool

Build Your Second Brain One Piece At A Time

Designing Data Platforms For Fintech Companies

Data Engineering Weekly #196

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

Addressing The Challenges Of Component Integration In Data Platform Architectures

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