Data Engineering Podcast

DECEMBER 29, 2022

In this episode she shares the strategic and tactical elements of how to make more effective use of the technical and organizational resources that are available to you for getting work done with data. Atlan is the metadata hub for your data ecosystem. Struggling with broken pipelines? Missing data?

Management 130

Management Metadata Business Intelligence Data Lake 130

Data Engineering Podcast

NOVEMBER 6, 2022

Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. Atlan is the metadata hub for your data ecosystem. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day.

Building 130

Building IT Metadata MongoDB 130

Data Engineering Weekly

JULY 2, 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. So, let's shape the future of Data Engineering together.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Data Engineering Podcast

OCTOBER 23, 2022

In this episode Shane Gibson shares practical advice and insights from his years of experience as a consultant and engineer working in data about how to adopt agile principles in your data work so that you can move faster and provide more value to the business, while building systems that are maintainable and adaptable.

Project 130

Project Metadata MongoDB MySQL 130

Data Engineering Podcast

DECEMBER 4, 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?

Business Intelligence 100

Business Intelligence Metadata BI MongoDB 100

Data Engineering Podcast

JULY 17, 2022

In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data. Atlan is the metadata hub for your data ecosystem.

Data Management 130

Data Management Management Metadata MongoDB 130

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.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

Data Engineering Podcast

OCTOBER 16, 2022

Pathway is a streaming database engine that embeds artificial intelligence into the storage, with functionality designed to support the spatiotemporal data that is crucial for shipping and logistics. Atlan is the metadata hub for your data ecosystem.

Database 100

Database Metadata MongoDB MySQL 100

Data Engineering Podcast

SEPTEMBER 25, 2022

Summary Regardless of how data is being used, it is critical that the information is trusted. The practice of data reliability engineering has gained momentum recently to address that question. Atlan is the metadata hub for your data ecosystem.

Building 100

Building Metadata MongoDB MySQL 100

Data Engineering Podcast

NOVEMBER 27, 2022

In this episode Wes McKinney shares the ways that Arrow and its related projects are improving the efficiency of data systems and driving their next stage of evolution. Atlan is the metadata hub for your data ecosystem. Struggling with broken pipelines? Missing data? Start trusting your data with Monte Carlo today!

Data Process 100

Data Process Process Metadata Business Intelligence 100

Data Engineering Podcast

OCTOBER 2, 2022

In this episode Roambee CEO, Sanjay Sharma, shares the types of questions that companies are asking about their logistics, the technical work that they do to provide ways to answer those questions, and how they approach the challenge of data quality in its many forms. Atlan is the metadata hub for your data ecosystem.

Metadata 100

Metadata Electronics MongoDB MySQL 100

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. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show!

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Data Engineering Podcast

SEPTEMBER 18, 2022

In this episode he discusses the challenge of maintaining shared visibility and understanding of data work across the various stakeholders and his efforts to make it a seamless experience. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show!

Building 100

Building Metadata MongoDB MySQL 100

Data Engineering Podcast

JULY 10, 2022

They also discuss how they have established a guild system for training and supporting data professionals in the organization. Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities.

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Data Engineering Podcast

AUGUST 21, 2022

In this episode Tracy Daniels, CDO of Truist, shares her journey into the position, her responsibilities, and her relationship to the data professionals in her organization. Atlan is the metadata hub for your data ecosystem. RudderStack helps you build a customer data platform on your warehouse or data lake.

Metadata 100

Metadata MongoDB MySQL Data Lake 100

Data Engineering Podcast

OCTOBER 9, 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.

Metadata 100

Metadata AWS MongoDB MySQL 100

Data Engineering Podcast

DECEMBER 25, 2022

Summary Five years of hosting the Data Engineering Podcast has provided Tobias Macey with a wealth of insight into the work of building and operating data systems at a variety of scales and for myriad purposes. Atlan is the metadata hub for your data ecosystem. Struggling with broken pipelines? Missing data?

Building 100

Building Metadata Business Intelligence Data Lake 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. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

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. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Lake 130

Data Lake Data Ingestion MongoDB Scala 130

Data Engineering Podcast

JULY 31, 2022

In this episode Ernie Ostic shares the approach that he and his team at Manta are taking to build a complete view of data lineage across the various data systems in your organization and the useful applications of that information in the work of every data stakeholder. Atlan is the metadata hub for your data ecosystem.

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

SEPTEMBER 4, 2022

In this episode founders Barr Moses and Lior Gavish rejoin the show to reflect on the evolution and adoption of data observability technologies and the capabilities that are being introduced as the broader ecosystem adopts the practices. Atlan is the metadata hub for your data ecosystem. What is your take?

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

AUGUST 6, 2022

In this episode Paolo Platter shares the lessons they have learned in that process, the Data Mesh Boost platform that they have built to reduce some of the boilerplate required to make it successful, and some of the considerations to make when deciding if a data mesh is the right choice for you.

Metadata 100

Metadata MongoDB MySQL Business Intelligence 100

Data Engineering Podcast

JUNE 12, 2022

Trupti Natu has been the first data hire multiple times and gone through the process of building teams across the different stages of growth. In this episode she shares her thoughts and insights on how to be intentional about establishing your own data team. Atlan is the metadata hub for your data ecosystem.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Data Engineering Podcast

JUNE 5, 2022

In this episode Sean Falconer explains the idea of a data privacy vault and how this new architectural element can drastically reduce the potential for making a mistake with how you manage regulated or personally identifiable information. Atlan is the metadata hub for your data ecosystem.

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Podcast

MARCH 5, 2022

HarperDB was created with the core goal of being a developer friendly database engine. In the process they ended up creating a scalable distributed engine that works across edge and datacenter environments to support a variety of novel use cases. You can observe your pipelines with built in metadata search and column level lineage.

PostgreSQL 100

PostgreSQL MongoDB Software Engineer Software Engineering 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

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

JULY 29, 2022

What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop? Under the hood, the framework divides a chunk of Big Data into smaller, digestible parts and allocates them across multiple commodity machines to be processed in parallel. How data engineering works under the hood.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

NOVEMBER 23, 2021

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering. The essential components of the virtual layer are.

Process 69

Process Data Lake Metadata Data Warehouse 69

Rockset

JULY 25, 2019

We are now seeing the rise of the "marketing engineer," a person who is well-versed in using data systems. Definition of Operational Analytics Processing An operational analytics system helps you make instant decisions from reams of real-time data. An experiment may take weeks or months. titled Concurrency Control ).

Software Engineer 40

Software Engineer Software Engineering Engineering PostgreSQL 40

AltexSoft

MARCH 14, 2023

A Modern Data Stack (MDS) is a collection of tools and technologies used to gather, store, process, and analyze data in a scalable, efficient, and cost-effective way. Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. — Data democratization.

IT 59

IT Data Warehouse Data Governance Data Lake 59

AltexSoft

JUNE 26, 2023

Both data integration and ingestion require building data pipelines — series of automated operations to move data from one system to another. For this task, you need a dedicated specialist — a data engineer or ETL developer. Data engineering explained in 14 minutes.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. Cloudera , focusing on Big Data analytics. How Apache Kafka streams relate to Franz Kafka’s books.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JANUARY 31, 2023

Big Data Interview Questions and Answers Based on Job Role With the help of ProjectPro experts, we have compiled a list of interview questions on big data based on several job roles, including big data tester, big data developer, big data architect, and big data engineer. What are its benefits?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JULY 23, 2021

Serverless Image Recognition Engine 13. AWS Athena Big Data Project for Querying COVID-19 Data 25. Build an AWS ETL Data Pipeline in Python on YouTube Data 26. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. Kubernetes Clusters on Amazon EC2 Spot 9.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

AltexSoft

OCTOBER 8, 2021

The prevailing part of users claim that it is quite easy to configure and manage data flows with Oracle’s graphical tools. Data profiling and cleansing. The toolkit allows you to quickly build data pipelines , automate integration tasks, and monitor jobs. Data profiling and cleansing. MongoDB), SQL databases (e.g.,

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52