Data Engineering Podcast

APRIL 14, 2024

Dagster offers a new approach to building and running data platforms and data pipelines. It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. Data lakes are notoriously complex.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Data Engineering Podcast

APRIL 7, 2024

Dagster offers a new approach to building and running data platforms and data pipelines. It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. Data lakes are notoriously complex.

Data Lake 162

Data Lake High Quality Data BI Data Workflow 162

Data Engineering Podcast

FEBRUARY 11, 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. Dagster offers a new approach to building and running data platforms and data pipelines.

Data Lake 147

Data Lake High Quality Data Government Data Pipeline 147

Data Engineering Podcast

MARCH 17, 2024

Summary A significant portion of data workflows involve storing and processing information in database engines. 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.

Database 147

Database Data Lake High Quality Data Data Workflow 147

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. Dagster offers a new approach to building and running data platforms and data pipelines.

Project 130

Project Data Lake High Quality Data Data Workflow 130

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

Database 162

Database Technology Data Lake High Quality Data 162

Data Engineering Podcast

MARCH 10, 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 147

Data Lake High Quality Data Data Pipeline Architecture 147

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 147

Software Engineer Software Engineering Engineering Data Lake 147

Data Engineering Podcast

OCTOBER 1, 2023

Summary Artificial intelligence applications require substantial high quality data, which is provided through ETL pipelines. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. With Materialize, you can!

Building 162

Building BI SQL Machine Learning 162

Monte Carlo

DECEMBER 19, 2022

Let’s say you were querying the impact of a marketing program on sales lift by region, but the ‘region’ field was left blank on multiple records. Any rows where ‘region’ was missing would necessarily be excluded from your report, leading to inefficient future spend on regional marketing programs.

High Quality Data 52

High Quality Data Data Bytes SQL 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

AUGUST 9, 2023

Let’s say you were querying the impact of a marketing program on sales lift by region, but the ‘region’ field was left blank on multiple records. Any rows where ‘region’ was missing would necessarily be excluded from your report, leading to inefficient future spend on regional marketing programs.

Finance 52

Finance High Quality Data SQL Data 52

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. About 61% request you also have a formal computer science degree.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

Databand.ai

JUNE 14, 2023

It enables: Enhanced decision-making: Accurate and reliable data allows businesses to make well-informed decisions, leading to increased revenue and improved operational efficiency. Risk mitigation: Data errors can result in expensive mistakes or even legal issues.

Amazon Web Services 52

Amazon Web Services Datasets High Quality Data ETL Tools 52

Knowledge Hut

MARCH 5, 2024

Singapore has a thriving technical market that has been on the lookout for data engineers. Top MNCs in Singapore are hiring Data Engineers and offering exciting salary packages. Data engineers also analyze the kind of data that should be retrieved and stored.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

Knowledge Hut

JANUARY 24, 2024

A data scientist is a professional who is proficient in the extraction of meaningful insights and knowledge from large volumes of data. These individuals possess a unique skill set that combines expertise in statistics, mathematics, programming, and domain-specific knowledge. How Do Data Scientists Work With Data?

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Edureka

FEBRUARY 7, 2023

They should also be proficient in programming languages such as Python , SQL , and Scala , and be familiar with big data technologies such as HDFS , Spark , and Hive. A degree program can provide individuals with a strong foundation in programming languages, data management, and analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Monte Carlo

JANUARY 23, 2024

Once ChatGPT launched, they quickly started exploring how to use OpenAI’s API to bring AI inside their BI tools, such as enabling their customers to use plain-language text-to-SQL queries. She describes attending a demo of a prototype in the co-generation programming space. “My Those who don’t embrace it will be left behind.

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

Maxime Beauchemin

JANUARY 20, 2017

It also becomes the role of the data engineering team to be a “center of excellence” through the definitions of standards, best practices and certification processes for data objects. Here are a few examples of services that data engineers and data infrastructure engineer may build and operate.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Towards Data Science

MARCH 29, 2023

I burned out spectacularly about a year into a PhD program, and my relationship with books ended for quite some time. I returned to reading within the last few years, and my desire to grow and learn in the data space has been a huge part of that. Louis area.

Data Warehouse 67

Data Warehouse BI Healthcare Database 67

Monte Carlo

AUGUST 31, 2023

Over the past few decades, however, the definition of data quality has started to crystallize as a function of measuring the reliability, completeness, and accuracy of data as it relates to the state of what is being reported on. That is the question – at least if you ask a data engineer.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

ProjectPro

FEBRUARY 21, 2023

Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL, Python, and Scala, among other data processing languages. Must be familiar with data architecture, data warehousing, parallel processing concepts, etc. Basic understanding of Microsoft Azure.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

AUGUST 10, 2023

Time and again, we’d deliver a report, only to be notified minutes later about issues with our data. It didn’t matter how strong our ETL pipelines were or how many times we reviewed our SQL: our data just wasn’t reliable. It monitors your data at-rest and does not require extracting the data from where it is currently stored.

Data Pipeline 98

Data Pipeline Software Engineer Software Engineering Machine Learning 98

Knowledge Hut

JANUARY 3, 2024

A normalization database or normalization in DBMS design method avoids data duplication and removes undesired traits like Insertion, Update, and Deletion Anomalies. SQL normalization serves the dual purpose of removing unnecessary (repetitive) data and ensuring logical data storage.

MongoDB 52

MongoDB Database Coding Utilities 52

Monte Carlo

MAY 17, 2023

Upstream Code Impacting Data Systems It’s not just SQL queries that can create data quality problems. Another data team caught data freshness and volume issues caused by a bad code merge upstream. The issue was with a Lambda that took data from S3 and pushed it into Snowflake.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Upstream Code Impacting Data Systems It’s not just SQL queries that can create data quality problems. Another data team caught data freshness and volume issues caused by a bad code merge upstream. The issue was with a Lambda that took data from S3 and pushed it into Snowflake.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52