Precisely

JUNE 10, 2025

Key takeaways: New Data Integrity Suite innovations include AI-powered data quality, and new data observability, lineage, location intelligence, and enrichment capabilities. What’s the state of your data integrity journey today? The Suite’s solution AI-powered match and merge, and metadata-driven automation.

Data Integration 52

Data Integration Metadata Data Data Workflow 52

ProjectPro

JUNE 6, 2025

Discover 50+ Azure Data Factory interview questions and answers for all experience levels. A report by ResearchAndMarkets projects the global data integration market size to grow from USD 12.24 A report by ResearchAndMarkets projects the global data integration market size to grow from USD 12.24 billion in 2020 to USD 24.84

Data Lake 60

Data Lake Metadata SQL Datasets 60

Data Engineering Podcast

SEPTEMBER 17, 2023

Summary A significant amount of time in data engineering is dedicated to building connections and semantic meaning around pieces of information. Linked data technologies provide a means of tightly coupling metadata with raw information. Go to dataengineeringpodcast.com/materialize today to get 2 weeks free!

Building 189

Building BI SQL Python 189

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 62

Data Engineer Data Engineering Engineering Pipeline-centric 62

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ?

Technology 130

Technology Architecture Google Cloud Metadata 130

Ascend.io

DECEMBER 4, 2024

As we approach 2025, data teams find themselves at a pivotal juncture. The rapid evolution of technology and the increasing demand for data-driven insights have placed immense pressure on these teams. The future of data teams depends on their ability to adapt to new challenges and seize emerging opportunities.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

ProjectPro

JUNE 6, 2025

Today, data engineers are constantly dealing with a flood of information and the challenge of turning it into something useful. The journey from raw data to meaningful insights is no walk in the park. It requires a skillful blend of data engineering expertise and the strategic use of tools designed to streamline this process.

Data Pipeline 49

Data Pipeline Google Cloud AWS Kafka 49

ProjectPro

JUNE 6, 2025

If you've got tons of data flowing through your systems, you must keep it all organized and running smoothly. It's like the ultimate solution for managing and automating big data workflows. Did you know 93% of seasoned Airflow users are willing to recommend this powerful data orchestration tool. Crazy, right?

PostgreSQL 40

PostgreSQL Metadata MySQL Data Workflow 40

Data Engineering Podcast

DECEMBER 18, 2022

Summary One of the reasons that data work is so challenging is because no single person or team owns the entire process. This introduces friction in the process of collecting, processing, and using data. In order to reduce the potential for broken pipelines some teams have started to adopt the idea of data contracts.

Metadata 130

Metadata Data Lake Business Intelligence MongoDB 130

Data Engineering Podcast

JULY 17, 2022

Summary There are extensive and valuable data sets that are available outside the bounds of your organization. Whether that data is public, paid, or scraped it requires investment and upkeep to acquire and integrate it with your systems. Atlan is the metadata hub for your data ecosystem.

Data Management 130

Data Management Management Metadata MongoDB 130

Ascend.io

JULY 11, 2024

Metadata is the information that provides context and meaning to data, ensuring it’s easily discoverable, organized, and actionable. It enhances data quality, governance, and automation, transforming raw data into valuable insights. This is what managing data without metadata feels like. Chaos, right?

Metadata 52

Metadata IT Government Data Governance 52

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 147

Architecture Data Lake High Quality Data SQL 147

Data Engineering Podcast

AUGUST 28, 2022

For data engineers, this is a monumental undertaking. Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. The only thing worse than having bad data is not knowing that you have it.

Data Engineer 100

Data Engineer Data Engineering MongoDB Metadata 100

ProjectPro

JUNE 6, 2025

As data grows in size and complexity, so does the need for tailored data processing solutions. PySpark User Defined Functions emerge as a powerful tool in this context, offering a customizable approach to data transformation and analysis. Table of Contents What are PySpark User Defined Functions (UDFs)?

SQL 40

SQL Python Big Data Metadata 40

ProjectPro

JUNE 6, 2025

Building a batch pipeline is essential for processing large volumes of data efficiently and reliably. Are you ready to step into the heart of big data projects and take control of data like a pro? Are you ready to step into the heart of big data projects and take control of data like a pro?

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Atlan is the metadata hub for your data ecosystem.

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

SEPTEMBER 18, 2022

Summary There is a constant tension in business data between growing siloes, and breaking them down. Even when a tool is designed to integrate information as a guard against data isolation, it can easily become a silo of its own, where you have to make a point of using it to seek out information.

Metadata 100

Metadata Building MongoDB MySQL 100

Data Engineering Podcast

AUGUST 5, 2019

Summary Data is only valuable if you use it for something, and the first step is knowing that it is available. As organizations grow and data sources proliferate it becomes difficult to keep track of everything, particularly for analysts and data scientists who are not involved with the collection and management of that information.

MongoDB 100

MongoDB PostgreSQL Metadata Media 100

Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. Audit Run various quality checks on the staged data.

Metadata 106

Metadata Data Pipeline Scala Data Workflow 106

Data Engineering Podcast

FEBRUARY 20, 2022

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. RudderStack’s smart customer data pipeline is warehouse-first. How does it work?

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100

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. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud.

Data Engineer 100

Data Engineer Data Engineering Engineering Consulting 100

Data Engineering Podcast

APRIL 5, 2021

Summary One of the biggest obstacles to success in delivering data products is cross-team collaboration. This introduces a barrier to communication that is difficult to overcome, particularly in teams that have not reached a significant level of maturity in their data journey.

Data Warehouse 100

Data Warehouse BI Data Pipeline Metadata 100

Netflix Tech

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy.

Data Warehouse 104

Data Warehouse Datasets Data Data Schemas 104

Data Engineering Weekly

DECEMBER 29, 2022

Data catalogs are the most expensive data integration systems you never intended to build. Data Catalog as a passive web portal to display metadata requires significant rethinking to adopt modern data workflow, not just adding “modern” in its prefix. How happy are you with your data catalogs?

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work? cost-effectiveness.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JUNE 6, 2025

Building data pipelines is a core skill for data engineers and data scientists as it helps them transform raw data into actionable insights. In this blog, you’ll build a complete ETL pipeline in Python to perform data extraction from the Spotify API, followed by data manipulation and transformation for analysis.

Python 40

Python Building PostgreSQL Raw Data 40

Data Engineering Podcast

MAY 3, 2021

Summary The Data industry is changing rapidly, and one of the most active areas of growth is automation of data workflows. Taking cues from the DevOps movement of the past decade data professionals are orienting around the concept of DataOps. And don’t forget to thank them for their continued support of this show!

Data Warehouse 100

Data Warehouse BI Data Pipeline Metadata 100

Data Engineering Weekly

DECEMBER 16, 2024

As we reflect on 2024, the data engineering landscape has undergone significant transformations driven by technological advancements, changing business needs, and the meteoric rise of artificial intelligence. This comprehensive analysis examines the key trends and patterns that shaped data engineering practices throughout the year.

Data Engineer 62

Data Engineer Data Engineering Engineering Unstructured Data 62

ProjectPro

JUNE 6, 2025

Using Artificial Intelligence (AI) in the Data Analytics process is the first step for businesses to understand AI's potential. About 48% of companies now leverage AI to effectively manage and analyze large datasets, underscoring the technology's critical role in modern data utilization strategies. from 2022 to 2030.

Data Analytics 40

Data Analytics Healthcare Datasets Machine Learning 40

RandomTrees

SEPTEMBER 17, 2024

In the realm of big data and AI, managing and securing data assets efficiently is crucial. Databricks addresses this challenge with Unity Catalog, a comprehensive governance solution designed to streamline and secure data management across Databricks workspaces. What is Unity Catalog? Advantages of the Unity Catalog 1.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

Netflix Tech

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 89

Java Data Machine Learning Systems 89

Data Engineering Weekly

JANUARY 15, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. 2023 predictions from the panel are; Unified metadata becomes kingmaker.

Data Engineer 52

Data Engineer Data Engineering Engineering Metadata 52

Workfall

JUNE 12, 2023

In this dynamic realm of data engineering, a monumental challenge takes centre stage: efficiently managing the ever-changing tides of real-time data. Data, the lifeblood of organisations, holds the key to unlocking untapped potential and propelling businesses forward. In this blog, we will cover: What Is CDC and Its Benefits?

Telecommunication 80

Telecommunication Metadata Finance Healthcare 80

Data Engineering Weekly

OCTOBER 30, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. The highlights are that 59% of folks think data catalogs are sometimes helpful.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Ingestion 52

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

MARCH 11, 2023

We are back in our Data Engineering Weekly Radio for edition #120. We will take 2 or 3 articles from each week's Data Engineering Weekly edition and go through an in-depth analysis. We discuss an article by Colin Campbell highlighting the need for a data catalog and the market scope for data contract solutions.

Data Engineer 52

Data Engineer Data Engineering Engineering High Quality Data 52

Ascend.io

DECEMBER 11, 2023

Are you dealing with a scattered data environment, with complex pipelines that seem to go everywhere and nowhere at the same time? Is your data stuck in separate areas within your company, making it hard to use effectively? In other words, you need data orchestration. What Is Data Orchestration?

Data Workflow 52

Data Workflow Data Pipeline Data Lake Data 52