Data Engineer, Data Pipeline, High Quality Data and SQL

The Symbiotic Relationship Between AI and Data Engineering

Ascend.io

FEBRUARY 28, 2024

The rise of generative AI is changing more than just technology; it’s reshaping our professional landscapes — and yes, data engineering is directly experiencing the impact. How does AI recalibrate the workload and priorities of data teams? How can data engineers harness the power of AI?

Data Engineering

Data Engineering Data Engineer Engineering Metadata

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

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

Webinars

How to Optimize the Developer Experience for Monumental Impact

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

MORE WEBINARS

Data Quality Engineer: Skills, Salary, & Tools Required

Monte Carlo

JULY 27, 2023

These specialists are also commonly referred to as data reliability engineers. To be successful in their role, data quality engineers will need to gather data quality requirements (mentioned in 65% of job postings) from relevant stakeholders.

Engineering

Engineering Healthcare Scala Data Warehouse

Tackling Real Time Streaming Data With SQL Using RisingWave

Data Engineering Podcast

FEBRUARY 4, 2024

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. RisingWave is a database engine that was created specifically for stream processing, with S3 as the storage layer. Can you describe what RisingWave is and the story behind it?

SQL

SQL Data Lake High Quality Data Data Pipeline

Data Validation Testing: Techniques, Examples, & Tools

Monte Carlo

AUGUST 8, 2023

By applying rules and checks, data validation testing verifies the data meets predefined standards and business requirements to help prevent data quality issues and data downtime. From this perspective, the data validation process looks a lot like any other DataOps process.

Data Validation

Data Validation Data Pipeline SQL Data

Data Quality Testing: 7 Essential Tests

Monte Carlo

DECEMBER 19, 2022

Data quality testing is the process of validating that key characteristics of a dataset match what is anticipated prior to its consumption. According to Gartner , bad data costs organizations on average an estimated $12.9 Download our Data Quality Testing 101 eBook So, what is data quality testing anyway?

High Quality Data

High Quality Data Data Bytes SQL

[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? In our opinion, data quality frequently gets a bad rep.

Data Lake

Data Lake Data Pipeline Unstructured Data Data Warehouse

Data Integrity vs. Data Quality: 4 Key Differences You Can’t Confuse

Monte Carlo

JUNE 16, 2023

Data quality has broad applications across industries, but its importance and degree of quality required is also contextual to the use case. For example, in marketing, high-quality data can help businesses better understand their customers, allowing them to create more targeted and effective campaigns.

Data Integration

Data Integration Hospitality Banking Healthcare

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. Visit: dataengineeringpodcast.com/data-council today. Your first 30 days are free!

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

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

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

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

Designing A Non-Relational Database Engine

Data Engineering Podcast

APRIL 14, 2024

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. Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex.

Non-relational Database

Non-relational Database Relational Database Database Designing

Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

NOVEMBER 4, 2021

It often takes months to progress from a data lake to the final delivery of insights. One data engineer called it the “last mile problem.” . In our many conversations about data analytics, data engineers, analysts and scientists have verbalized the difficulty of creating analytics in the modern enterprise.

Process

Process Data Process Pharmaceutical Data Lake

Data Observability for Analytics and ML teams

Towards Data Science

APRIL 6, 2023

Principles, practices, and examples for ensuring high quality data flows Source: DreamStudio (generated by author) Nearly 100% of companies today rely on data to power business opportunities and 76% use data as an integral part of forming a business strategy. Or even just a little bit.

Unstructured Data

Unstructured Data Metadata Data Coding

Reconciling The Data In Your Databases With Datafold

Data Engineering Podcast

MARCH 17, 2024

Validating that the information is stored and processed correctly can be complex and time-consuming, especially when the source and destination speak different dialects of SQL. Data lakes are notoriously complex. Visit dataengineeringpodcast.com/data-council and use code dataengpod20 to register today!

Database

Database Data Lake High Quality Data Data Workflow

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

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. Visit dataengineeringpodcast.com/data-council and use code dataengpod20 to register today!

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

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.

Database

Database Technology Data Lake High Quality Data

Implementing Data Contracts in the Data Warehouse

Monte Carlo

JANUARY 25, 2023

Data professionals are producers and consumers The first key difference between production service contracts and contracts within the data warehouse is that data producers and consumers are often both in data roles (analysts, data scientists, data engineers, etc). What happens when we detect bad data?

Data Warehouse

Data Warehouse Data High Quality Data Metadata

Celebrating the New Pioneers of Data Reliability

Monte Carlo

AUGUST 17, 2021

And your entire data engineering team is all in on this “data as code” movement. The flip side of this data-driven coin: your stakeholders (CEO and CTO included) ping you nearly every other hour to ask you: “is my data up-to-date?” To achieve this data trust, they turned to Monte Carlo.

Insurance

Insurance Retail Data Pipeline Portfolio

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

Version Your Data Lakehouse Like Your Software With Nessie

Data Engineering Podcast

MARCH 10, 2024

In this episode Alex Merced explains how the branching and merging functionality in Nessie allows you to use the same versioning semantics for your data lakehouse that you are used to from Git. Data lakes are notoriously complex. Visit dataengineeringpodcast.com/data-council and use code dataengpod20 to register today!

Data Lake

Data Lake High Quality Data Data Pipeline Architecture

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

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

What is Data Accuracy? Definition, Examples and KPIs

Monte Carlo

JULY 11, 2023

If the data they use to inform these decisions isn’t accurate—that is, if it doesn’t reflect reality—then the decisions they make can result in lost revenue, eroded stakeholder trust, and wasted data engineering resources. In other words, bad data is bad for business.”

Data Cleanse

Data Cleanse Datasets Data Governance Government

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. Upstream data evolution breaks pipelines.

Data Pipeline

Data Pipeline Building Data Ingestion BI

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. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

Data Lake

Data Lake Building High Quality Data AWS

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

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. What are the open questions today in technical scalability of data engines? What are the open questions today in technical scalability of data engines?

Data Process

Data Process Process Data Lake High Quality Data

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

Adding An Easy Mode For The Modern Data Stack With 5X

Data Engineering Podcast

DECEMBER 17, 2023

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. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

Data Lake

Data Lake High Quality Data SQL Architecture

Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine

Data Engineering Podcast

NOVEMBER 12, 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.

Software Engineer

Software Engineer Software Engineering Engineering Data Lake

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

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

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. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products.

Data Lake

Data Lake High Quality Data SQL Architecture

Data Engineering Weekly #107

Data Engineering Weekly

NOVEMBER 13, 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. link] Sponsored: Build SQL Pipelines. Not Endless DAGs!

Data Engineering

Data Engineering Data Engineer Engineering Kafka

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

Data Engineer Salary in Singapore [Updated for 2024]

Knowledge Hut

MARCH 5, 2024

Data engineers are highly in demand and short in supply. Data engineering is one of the hottest jobs that is trending across the globe. Singapore has a thriving technical market that has been on the lookout for data engineers. Who is Data Engineer and What Do They Do?

Data Engineering

Data Engineering Data Engineer Engineering Education

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

The Symbiotic Relationship Between AI and Data Engineering

How to become Azure Data Engineer I Edureka

Webinars

Trending Sources

Forge Your Career Path with Best Data Engineering Certifications

Webinars

Data Quality Engineer: Skills, Salary, & Tools Required

Tackling Real Time Streaming Data With SQL Using RisingWave

Data Validation Testing: Techniques, Examples, & Tools

Data Quality Testing: 7 Essential Tests

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

Data Integrity vs. Data Quality: 4 Key Differences You Can’t Confuse

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Making Email Better With AI At Shortwave

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

Troubleshooting Kafka In Production

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

Build Your Second Brain One Piece At A Time

Designing A Non-Relational Database Engine

Centralize Your Data Processes With a DataOps Process Hub

Data Observability for Analytics and ML teams

Reconciling The Data In Your Databases With Datafold

DataOps For Business Analytics Teams

When And How To Conduct An AI Program

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

Implementing Data Contracts in the Data Warehouse

Celebrating the New Pioneers of Data Reliability

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Version Your Data Lakehouse Like Your Software With Nessie

Data Sharing Across Business And Platform Boundaries

Designing Data Transfer Systems That Scale

What is Data Accuracy? Definition, Examples and KPIs

Build vs Buy Data Pipeline Guide

Build A Data Lake For Your Security Logs With Scanner

Shining Some Light In The Black Box Of PostgreSQL Performance

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

Designing Data Platforms For Fintech Companies

Adding An Easy Mode For The Modern Data Stack With 5X

Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine

Addressing The Challenges Of Component Integration In Data Platform Architectures

Modern Customer Data Platform Principles

Unlocking Your dbt Projects With Practical Advice For Practitioners

Run Your Own Anomaly Detection For Your Critical Business Metrics With Anomstack

Data Engineering Weekly #107

Data Pipelines in the Healthcare Industry

Data Engineer Salary in Singapore [Updated for 2024]

What is Data Observability? 5 Key Pillars To Know

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