Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Data Engineering Podcast

JULY 17, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

AUGUST 28, 2022

Sign up free… or just get the free t-shirt for being a listener of the Data Engineering Podcast at dataengineeringpodcast.com/rudder. The only thing worse than having bad data is not knowing that you have it. Bigeye let’s data teams measure, improve, and communicate the quality of your data to company stakeholders.

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

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.

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100

Data Engineering Podcast

JANUARY 30, 2022

Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud. Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow. The only thing worse than having bad data is not knowing that you have it.

Data Engineering 100

Data Engineering Data Engineer Engineering Python 100

Knowledge Hut

SEPTEMBER 25, 2023

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Christophe Blefari

SEPTEMBER 28, 2023

Historically, data pipelines were designed with an ETL approach, storage was expensive and we had to transform the data before using it. With the cloud, we got the—false—impression that resources were infinite and cheap, so we switched to ETL by pushing everything into a central data storage.

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

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. RudderStack’s smart customer data pipeline is warehouse-first.

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Data Engineering Podcast

APRIL 5, 2021

Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days. Once you sign up and create an alert in Datafold for your company data, they will send you a cool water flask.

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Knowledge Hut

NOVEMBER 17, 2023

The job of an Azure Data Engineer is really needed in the world of handling and studying data. As Azure Data Engineers, they'll be responsible for creating and looking after solutions that use data to help the company. Azure Data Factory stands at the forefront, orchestrating data workflows.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Podcast

OCTOBER 22, 2021

In this episode Oliver Laslett describes why dashboards aren’t sufficient for business analytics, how Lightdash promotes the work that you are already doing in your data warehouse modeling with dbt, and how they are focusing on bridging the divide between data teams and business teams and the requirements that they have for data workflows.

Engineering 100

Engineering Business Intelligence BI Data Warehouse 100

Data Engineering Podcast

JULY 31, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. The only thing worse than having bad data is not knowing that you have it.

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

JULY 3, 2022

In order to quickly identify if and how two data systems are out of sync Gleb Mezhanskiy and Simon Eskildsen partnered to create the open source data-diff utility. Your newly mimicked datasets are safe to share with developers, QA, data scientists—heck, even distributed teams around the world.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Podcast

JANUARY 1, 2022

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Over the past couple of months, we’ve seen the resurgence of “benchmark wars” between major data warehousing platforms.

Data Warehouse 100

Data Warehouse Data Lake Hadoop SQL 100

Data Engineering Podcast

OCTOBER 15, 2021

Supercharge your business teams with customer data using Hightouch for Reverse ETL today. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days.

Metadata 100

Metadata BI Data Warehouse Government 100

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. A Data Engineer is responsible for designing the entire architecture of the data flow while taking the needs of the business into account.

Data Engineering 52

Data Engineering Data Engineer Project Coding 52

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 Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Data Engineering Podcast

SEPTEMBER 4, 2022

Data stacks are becoming more and more complex. This brings infinite possibilities for data pipelines to break and a host of other issues, severely deteriorating the quality of the data and causing teams to lose trust. Data stacks are becoming more and more complex.

MongoDB 100

MongoDB Scala MySQL Data Ingestion 100

Monte Carlo

JULY 27, 2023

Data quality engineers also need to have experience operating in cloud environments and using many of the modern data stack tools that are utilized in building and maintaining data pipelines. 78% of job postings referenced at least part of their environment was in a modern data warehouse, lake, or lakehouse.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

DataKitchen

JANUARY 25, 2022

DataOps improves the robustness, transparency and efficiency of data workflows through automation. For example, DataOps can be used to automate data integration. Previously, the consulting team had been using a patchwork of ETL to consolidate data from disparate sources into a data lake.

Consulting 97

Consulting Recruitment Data Lake Data Engineering 97

Data Engineering Podcast

OCTOBER 19, 2020

Your host is Tobias Macey and today I’m interviewing Barr Moses and Lior Gavish about observability for your data pipelines and how they are addressing it at Monte Carlo. Interview Introduction How did you get involved in the area of data management? What is "data downtime"? What is "data downtime"?

Machine Learning 100

Machine Learning Data Engineering Data Engineer Data 100

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.

Data Workflow 91

Data Workflow Raw Data Data Lake Business Intelligence 91

Meltano

JULY 7, 2022

Those best practices, such as version control, a unified development environment, and continuous, built-in testing, can also be brought to data workflows. Now it’s Data’s Turn The data profession is about five years behind software engineering. Data is just very different from dev.

BI 52

BI Software Engineer Software Engineering Data Workflow 52

Workfall

JUNE 12, 2023

With their ability to efficiently handle high volumes of data and provide reliable, low-latency streaming capabilities, snowflake streams have become an indispensable tool for modern data engineering workflows. Table stream is an object that records the DML changes made to a source object (eg: tables).

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Knowledge Hut

DECEMBER 28, 2023

This certification, often referred to as the Azure Data Engineer Associate certification, validates the competency of individuals in implementing Azure data solutions. It’s a testament to their ability to create scalable, efficient and secure data pipelines. What is the Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

APRIL 24, 2023

Build vs buy orchestration tooling Unlike the other components we’ve discussed in Part 3, data pipelines don’t require orchestration to be considered functional—at least not at a foundational level. And data orchestration tools are generally easy to stand-up for initial use-cases. Missed Nishith’s 5 considerations?

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Monte Carlo

JANUARY 16, 2024

Factor in the advertising strategies, media production, partner programming, audience analytics…and you’re looking at an ocean of data that would fill even the deepest trench (we’d like a television show about that too, please!). So how does Fox’s data strategy support these complex data workflows? Image from Castor.

Government 52

Government High Quality Data Data Governance Entertainment 52

DataKitchen

DECEMBER 20, 2020

If the data team is always dealing with data errors and putting out fires, then they’ll be constantly pulled away from their highest priority projects. . You can transform your data analytics workflows by applying methodologies like agile development , DevOps , and lean manufacturing to data pipelines and analytics workflows.

Engineering 59

Engineering Manufacturing Data Analytics Data Workflow 59

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 147

Non-relational Database Relational Database Database Designing 147

Monte Carlo

DECEMBER 13, 2023

You’re probably struggling to make business decisions with bad data or dealing with delayed or incorrect data causing a mess for downstream consumers. At this stage, your goal is pretty simple: understand how your data pipelines are operating today.

BI 52

BI Data Ingestion SQL Data Warehouse 52

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 80

Data Pipeline Management Scala Python 80

Ascend.io

MARCH 17, 2023

These engineering functions are almost exclusively concerned with data pipelines, spanning ingestion, transformation, orchestration, and observation — all the way to data product delivery to the business tools and downstream applications. Pipelines need to grow faster than the cost to run them.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Ascend.io

MARCH 17, 2023

These engineering functions are almost exclusively concerned with data pipelines, spanning ingestion, transformation, orchestration, and observation — all the way to data product delivery to the business tools and downstream applications. Pipelines need to grow faster than the cost to run them.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

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. task-based, data assets, etc.)

Data Pipeline 100

Data Pipeline Data Warehouse Data Workflow Data 100

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. Data lakes are notoriously complex. Your first 30 days are free!

Data Lake 173

Data Lake High Quality Data Data Pipeline Machine Learning 173

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 52

Data Pipeline Architecture Data Lake Data Warehouse 52