Data Engineering Podcast

JUNE 12, 2022

Summary Building a well rounded and effective data team is an iterative process, and the first hire can set the stage for future success or failure. Trupti Natu has been the first data hire multiple times and gone through the process of building teams across the different stages of growth.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Data Engineering Podcast

JULY 3, 2022

She also discusses her views on the role of the data lakehouse as a building block for these architectures and the ongoing influence that it will have as the technology matures. Atlan is the metadata hub for your data ecosystem. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Data Engineering Podcast

NOVEMBER 20, 2022

In this episode CEO and founder Salma Bakouk shares her views on the causes and impacts of "data entropy" and how you can tame it before it leads to failures. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Data Lake 130

Data Lake Data Ingestion MongoDB Scala 130

Data Engineering Podcast

JUNE 5, 2022

Summary The best way to make sure that you don’t leak sensitive data is to never have it in the first place. The team at Skyflow decided that the second best way is to build a storage system dedicated to securely managing your sensitive information and making it easy to integrate with your applications and data systems.

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Podcast

MAY 18, 2021

In order to eliminate the wasted effort of building custom integrations every time you want to combine lineage information across systems Julien Le Dem introduced the OpenLineage specification. RudderStack’s smart customer data pipeline is warehouse-first. What are your goals for the OpenLineage effort?

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

Christophe Blefari

JUNE 16, 2023

The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times. Malloy's Near Term Roadmap — I've shared recently Malloy demo , which was awesome. but I missed it).

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Data Engineering Podcast

DECEMBER 16, 2019

Summary Building clean datasets with reliable and reproducible ingestion pipelines is completely useless if it’s not possible to find them and understand their provenance. The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

The Modern Data Company

MARCH 1, 2024

Data Products work similarly, offering pre-packaged, actionable data units tailored to specific business goals. We will delve into the world of Data Products, exploring their transformative potential for CDOs and data teams. Data Products simplify access and processing, empowering faster decision-making.

Database-centric 40

Database-centric Data Lake Government Retail 40

Monte Carlo

MAY 25, 2023

That’s why we’re excited to announce that uniting diverse data team personas to collectively ensure data quality just got easier, thanks to a new integration between Monte Carlo’s data observability platform and Atlan’s active metadata platform.

Metadata 52

Metadata Data Governance Government Business Intelligence 52

Precisely

MAY 31, 2023

According to research performed at Drexel University’s LeBow College of Business, 76% of data practitioners are trying to improve their data-driven decision-making, and more than half don’t feel that they can fully trust their data. The end result is that users can’t trust their data because it lacks integrity.

Data Integration 52

Data Integration Metadata Data Governance Data 52

The Modern Data Company

MARCH 7, 2023

A data taxonomy uses a system of unambiguous metadata terms (such as a filename or tags attached to a file) that allow an enterprise to classify a file or dataset into important business categories. How Does Taxonomy Aid Data Governance? Incompleteness – Data may be missing important attributes.

Data Governance 52

Data Governance Government Metadata Datasets 52

Data Engineering Podcast

SEPTEMBER 23, 2018

He also explains which layers are useful for the different members of the business, and which pitfalls to look out for along the path to a mature and flexible data platform. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Data Engineering Weekly

JULY 23, 2023

Data Engineering Weekly Is Brought to You by RudderStack 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. Find the right, trusted data by simply asking a question. See how it works today.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Monte Carlo

APRIL 24, 2023

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

The Modern Data Company

JANUARY 17, 2023

These include internal data lakes, apps (1st or 3rd party), web SDK, internal or 3rd-party databases, and even spreadsheets generated within the marketing department. Without lineage or governance metadata, the quality of this data is anyone’s guess. New data is added to the catalog automatically upon ingestion.

Metadata 59

Metadata Government Data Lake Data 59

Ascend.io

MAY 23, 2023

Orphaned datasets occur due to several reasons, such as changes in data relationships, ad-hoc archiving of deleted records, restarts from system failures and errors, or design flaws in data management strategies. This strategy minimizes clutter and storage space, but could lose some data that is no longer useful going forward.

Datasets 52

Datasets Data Pipeline Metadata Database 52

phData: Data Engineering

DECEMBER 16, 2021

As a result, it is important to know what is happening to your data. Is your data just being scanned, or is it being moved? Where is your metadata stored? How easy is it to offboard your data if you choose another tool? This feature will help build lineage and will let you see any current usage patterns.

Metadata 52

Metadata Datasets ETL Tools Cloud 52

AltexSoft

MARCH 2, 2023

However, decentralized models may result in inconsistent and duplicate master data. There’s a centralized structure that provides a framework, which is then used by autonomous departments that own their data and metadata. Data management is the overall process of collecting, storing, organizing, maintaining, and using data.

Data Governance 52

Data Governance Government Healthcare Programming 52

Cloudera

MARCH 15, 2023

In this post I am going to set up a demo environment with a Spring Boot microservice and a streaming cluster using Cloudera Public Cloud. The Outbox Pattern The general idea behind this pattern is to have an “outbox” table in the service’s data store.

PostgreSQL 89

PostgreSQL Kafka Database Data 89

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

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. So, why is data integration such a big deal?

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Data Engineering Podcast

JANUARY 28, 2018

Your host is Tobias Macey and today I’m interviewing Danielle Robinson and Joe Hand about Dat Project, a distributed data sharing protocol for building applications of the future Interview Introduction How did you get involved in the area of data management? What is the Dat project and how did it get started?

Data 100

Data Project Electronics Data Management 100

Monte Carlo

APRIL 20, 2023

I can surface ownership metadata and alert the relevant owners to make sure the appropriate changes are made so these breakages never happen. This way no decisions get made on bad data and our team becomes a proactive part of the solution,” said then Senior Director of Data at Freshly, Vitaly Lilich.

Data Warehouse 52

Data Warehouse BI Data Government 52