Data Engineering Podcast

JANUARY 4, 2021

Summary As more organizations are gaining experience with data management and incorporating analytics into their decision making, their next move is to adopt machine learning. Monte Carlo’s end-to-end Data Observability Platform monitors and alerts for data issues across your data warehouses, data lakes, ETL, and business intelligence.

Python 100

Python Machine Learning Data Lake Computer Science 100

Data Engineering Podcast

JANUARY 11, 2021

This is a fascinating conversation on the technical challenges involved, the opportunities that such as system provides, and the complexities inherent to building a successful business on open source. There are a number of different reasons and methods for versioning data, such as the work being done with Datomic, LakeFS, DVC, etc.

PostgreSQL 100

PostgreSQL Python Data Lake Computer Science 100

The Modern Data Company

JANUARY 31, 2023

We also had the opportunity to talk about DataOS and the new paradigm it presents to the world of data. Our founders — and, as a result, the entire company — think about data differently than everyone else. This post highlights exactly how our founders taught us to think differently about data and why it matters.

Retail 98

Retail Healthcare Data Architecture Data Pipeline 98

Striim

FEBRUARY 10, 2023

Macy’s migrated its on-premise inventory and order data to Google Cloud storage to reach its objectives. The company decided to move to the cloud based on the benefits of cost efficiency, flexibility, and improved data management. Help customers visualize their data using a business intelligence tool.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 52

Monte Carlo

FEBRUARY 6, 2023

How should your business intelligence improve as a result of this migration? Set your budget While you’ll likely save on a data warehouse migration to cloud tooling, the migration process will create costs of its own. This can either be built manually or through data pipeline services like Fivetran.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Data Engineering Podcast

JUNE 26, 2022

In this episode Isaac Brodsky explains how the Unfolded platform is architected, their experience joining the team at Foursquare, and how you can start using it for analyzing your spatial data today. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Data Engineering Podcast

MAY 1, 2022

He describes how the platform is architected, the challenges related to selling cloud technologies into enterprise organizations, and how you can adopt Matillion for your own workflows to reduce the maintenance burden of data integration workflows. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Data Engineering Podcast

APRIL 24, 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. Missing data?

Data Warehouse 100

Data Warehouse Data Lake Data Pipeline BI 100

AltexSoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration process. Here, we’ll be comparing such vendors as.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

SEPTEMBER 10, 2021

So, why does anyone need to integrate data in the first place? Today, companies want their business decisions to be driven by data. But here’s the thing — information required for business intelligence (BI) and analytics processes often lives in a breadth of databases and applications. Middleware data integration.

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64

Monte Carlo

APRIL 20, 2023

Overwhelmed data engineers need to have the proper context of the blast radius to understand which incidents need to be addressed right away, and which incidents are a secondary priority. This is one of the most frequent data lineage use cases leveraged by Vox.

Data Warehouse 52

Data Warehouse BI Data Government 52