Data Engineering Podcast

JUNE 12, 2022

Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. In fact, while only 3.5%

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

Data Engineering Podcast

OCTOBER 23, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. In fact, while only 3.5%

Database 100

Database MySQL Cloud MongoDB 100

Data Engineering Podcast

SEPTEMBER 11, 2022

In this episode he shares his journey from building a consumer product to launching a data pipeline service and how his frustrations as a product owner have informed his work at Hevo Data. RudderStack helps you build a customer data platform on your warehouse or data lake. Sifflet also offers a 2-week free trial.

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! What are Data Engineering Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Engineering Podcast

JUNE 19, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. In fact, while only 3.5%

Metadata 130

Metadata MongoDB Scala MySQL 130

Data Engineering Podcast

OCTOBER 30, 2022

Summary One of the most impactful technologies for data analytics in recent years has been dbt. It’s hard to have a conversation about data engineering or analysis without mentioning it. Despite its widespread adoption there are still rough edges in its workflow that cause friction for data analysts.

Engineering 100

Engineering MongoDB Scala MySQL 100

Data Engineering Podcast

NOVEMBER 13, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. In fact, while only 3.5%

MongoDB 100

MongoDB Scala Google Cloud MySQL 100

Data Engineering Podcast

SEPTEMBER 25, 2022

In this episode Mark Van de Wiel explains how they integrated CDC functionality into their existing product, discusses the nuances of different approaches to change data capture from various sources. Mention the podcast to get a free "In Data We Trust World Tour" t-shirt. Data teams are increasingly under pressure to deliver.

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

SEPTEMBER 18, 2022

He discusses the challenges of making data collection purposeful and efficient without distracting employees from their primary duties and how business owners can use the provided analytics to support their staff in their duties. RudderStack helps you build a customer data platform on your warehouse or data lake.

Hospitality 100

Hospitality Food MongoDB Scala 100

Data Engineering Podcast

JULY 31, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. In fact, while only 3.5%

Data Analysis 100

Data Analysis MongoDB Scala Algorithm 100

Data Engineering Podcast

JULY 3, 2022

Summary The perennial challenge of data engineers is ensuring that information is integrated reliably. 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. In fact, while only 3.5%

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

OCTOBER 2, 2022

Alvin is a platform that aims to provide a low effort solution for data lineage capabilities focused on simplifying the work of data engineers. Mention the podcast to get a free "In Data We Trust World Tour" t-shirt. RudderStack helps you build a customer data platform on your warehouse or data lake.

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

JULY 24, 2022

In this episode Nick Schrock discusses the importance of orchestration and a central location for managing data systems, the road to Dagster’s 1.0 RudderStack helps you build a customer data platform on your warehouse or data lake. Data teams are increasingly under pressure to deliver. In fact, while only 3.5%

MongoDB 100

MongoDB Scala MySQL Data Lake 100

Data Engineering Podcast

OCTOBER 9, 2022

In this episode Purvi Shah, the VP of Enterprise Big Data Platforms at American Express, explains how they have invested in the cloud to power this visibility and the complex suite of integrations they have built and maintained across legacy and modern systems to make it possible. Data teams are increasingly under pressure to deliver.

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

AUGUST 6, 2022

In this episode Frank Liu explains how the open source Milvus vector database is implemented to speed up machine learning development cycles, how to think about proper storage and scaling of these vectors, and how data engineering and machine learning teams can collaborate on the creation and maintenance of these data sets.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

JUNE 26, 2022

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Shorten development cycles, eliminate the need for cumbersome data pipeline work, and mathematically guarantee the privacy of your data, with Tonic.ai. In fact, while only 3.5%

Data Management 100

Data Management Management MongoDB Scala 100

ProjectPro

AUGUST 24, 2021

Nevertheless, that is not the only job in the data world. Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. For this task, you need a dedicated specialist — a data engineer or ETL developer.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

DECEMBER 7, 2021

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

AltexSoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

MARCH 14, 2023

Built around a cloud data warehouse, data lake, or data lakehouse. Modern data stack tools are designed to integrate seamlessly with cloud data warehouses such as Redshift, Bigquery, and Snowflake, as well as data lakes or even the child of the first two — a data lakehouse.

IT 59

IT Data Warehouse Data Governance Data Lake 59

AltexSoft

MAY 14, 2021

On top of that, new technologies are constantly being developed to store and process Big Data allowing data engineers to discover more efficient ways to integrate and use that data. You may also want to watch our video about data engineering: A short video explaining how data engineering works.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Query Surge helps us automate our manual efforts in Big Data testing.

Big Data 52

Big Data Hadoop AWS Relational Database 52