Data Engineering Podcast

JULY 3, 2022

In this episode they explain how the utility is implemented to run quickly and how you can start using it in your own data workflows to ensure that your data warehouse isn’t missing any records from your source systems. If you’re a data engineering podcast listener, you get credits worth $5,000 when you become a customer.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

FEBRUARY 19, 2023

Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. Can you describe what Iceberg is and its position in the data lake/lakehouse ecosystem?

IT 147

IT Data Lake Metadata Data Warehouse 147

Ascend.io

APRIL 12, 2023

So when we talk about making data usable, we’re having a conversation about data integrity. Data integrity is the overall readiness to make confident business decisions with trustworthy data, repeatedly and consistently. Data integrity is vital to every company’s survival and growth.

Data Pipeline 52

Data Pipeline Data Integration Datasets Data 52

ProjectPro

FEBRUARY 16, 2023

With so much riding on the efficiency of ETL processes for data engineering teams, it is essential to take a deep dive into the complex world of ETL on AWS to take your data management to the next level. Data integration with ETL has changed in the last three decades. AWS has an ETL tool called AWS glue.

AWS 52

AWS Data Management ETL Tools Management 52

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Weekly

MAY 5, 2024

link] LinkedIn: LakeChime - A Data Trigger Service for Modern Data Lakes LinkedIn points out two critical flaws in a partitioned approach to data management. The granularity of partition creation constrained data consumption.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Data Engineering Podcast

SEPTEMBER 7, 2020

For analytical use cases you often want to combine data across multiple sources and storage locations. This frequently requires cumbersome and time-consuming data integration. What are the tradeoffs of using Presto on top of a data lake vs a vertically integrated warehouse solution?

Architecture 100

Architecture Data Architecture SQL Engineering 100

Precisely

JUNE 6, 2023

The group kicked off the session by exchanging ideas about what it means to have a modern data architecture. Atif Salam noted that as recently as a year ago, the primary focus in many organizations was on ingesting data and building data lakes. She also emphasizes the need to automate as much as possible.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

The Modern Data Company

JULY 24, 2023

By integrating and interconnecting data products, organizations can leverage enhanced data integration, advanced analytics, seamless data flow, scalability, and flexibility.

Data Lake 85

Data Lake Transportation Data Algorithm 85

Data Engineering Podcast

SEPTEMBER 25, 2022

Summary Data integration from source systems to their downstream destinations is the foundational step for any data product. With the increasing expecation for information to be instantly accessible, it drives the need for reliable change data capture. What do you have planned for the future of CDC at Fivetran?

Food 100

Food MongoDB Scala MySQL 100

Knowledge Hut

SEPTEMBER 25, 2023

You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company. Azure Data Engineers work with these and other solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

NOVEMBER 17, 2023

They enhance data pipelines, transform data, and guarantee the accuracy, integrity, and compliance of the data. Their job entails Azure data engineer skills like using big data, databases, data lakes, and analytics to help firms make efficient data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Podcast

JANUARY 1, 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. Will it be the same in 2022?

Data Warehouse 100

Data Warehouse Data Lake SQL Hadoop 100

Precisely

MARCH 27, 2023

At the same time, its highly integrated go-to-market processes needed to evolve in parallel with several other transformational projects that relied on a common set of data. Changing consumer preferences, along with a shift in focus toward digital channels, was driving the need for new approaches to data integrity at the company.

Food 52

Food Consulting Pharmaceutical Data Lake 52

Knowledge Hut

NOVEMBER 17, 2023

To provide end users with a variety of ready-made models, Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs. The data engineers are responsible for creating conversational chatbots with the Azure Bot Service and automating metric calculations using the Azure Metrics Advisor.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. The primary distinction lies in the sequence and location of the data transformation process. What Is ELT? So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

The Modern Data Company

JULY 24, 2023

By integrating and interconnecting data products, organizations can leverage enhanced data integration, advanced analytics, seamless data flow, scalability, and flexibility.

Data Lake 52

Data Lake Transportation Algorithm Data 52

The Modern Data Company

JULY 24, 2023

By integrating and interconnecting data products, organizations can leverage enhanced data integration, advanced analytics, seamless data flow, scalability, and flexibility.

Data Lake 52

Data Lake Transportation Data Algorithm 52

The Modern Data Company

APRIL 15, 2024

Understands how different pieces of data (books) relate to each other, helping users find related information. Keeps the library orderly, adjusting as new data arrives. Tracks key performance indicators to understand the use and value of the data. Manages information about data access and monitors data quality.

Government 52

Government Metadata Data Data Lake 52

Data Engineering Podcast

MARCH 22, 2021

In this episode Raghu Murthy, founder and CEO of Datacoral, does a deep dive on how he and his team manage change data capture pipelines in production. What are the factors that you need to consider when deciding whether to implement a CDC system for a given data integration? What are the alternatives to CDC?

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Data Engineering Podcast

NOVEMBER 20, 2021

Summary One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. In this episode Ori Rafael shares his experiences from Upsolver and building scalable stream processing for integrating and analyzing data, and what the tradeoffs are when coming from a batch oriented mindset.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Data Engineering Podcast

MAY 21, 2023

Summary Batch vs. streaming is a long running debate in the world of data integration and transformation. In this episode David Yaffe and Johnny Graettinger share the story behind the business and technology and how you can start using it today to build a real-time data lake without all of the headache.

Data Lake 162

Data Lake Machine Learning Kafka Data Warehouse 162

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Towards Data Science

FEBRUARY 6, 2024

Operational data management in Data Mesh A Data Mesh implementation improved my experience in these aspects: Knowledge : I could quickly identify the owners of the exposed data. The distance between the owner and the domain that generated the data is key to expedite further analytical development.

Systems 78

Systems Raw Data Metadata Data Cleanse 78

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Knowledge Hut

DECEMBER 28, 2023

Today, organizations seek skilled professionals who can harness data’s power to drive informed decisions. As technology evolves, cloud platforms have emerged as the cornerstone of modern data management. Its comprehensive suite of services can handle data at scale. Among these, Microsoft Azure stands out as a leader.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

AUGUST 19, 2019

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.

Big Data 100

Big Data Hadoop Data Lake Media 100

ProjectPro

OCTOBER 6, 2021

The benefits it offers start from data management and manipulation to machine learning tools on the GCP platform. GCP offers 90 services that span computation, storage, databases, networking, operations, development, data analytics , machine learning , and artificial intelligence , to name a few.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

Databand.ai

JULY 5, 2023

They help organizations understand the dependencies between data sources, processes, and systems, enabling better data governance and impact analysis. They provide insights into the health of data integration processes, detect issues in real-time, and enable teams to optimize data flows.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

Silectis

JANUARY 3, 2021

Data Architecture Data architecture is a composition of models, rules, and standards for all data systems and interactions between them. Data Catalog An organized inventory of data assets relying on metadata to help with data management. Database A collection of structured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JUNE 30, 2023

Data engineers are experts who specialize in the design and execution of data systems and infrastructure. They have unique skills, including competence in software engineering, data management, and analytics. Key Benefits and Takeaways: Learn the fundamental principles of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52