Data Engineering Podcast

NOVEMBER 2, 2020

Summary Data lakes are gaining popularity due to their flexibility and reduced cost of storage. Along with the benefits there are some additional complexities to consider, including how to safely integrate new data sources or test out changes to existing pipelines. Alluxio, Denodo, Pachyderm, DVC, etc.)

Data Lake 100

Data Lake PostgreSQL Datasets Machine Learning 100

Data Engineering Podcast

JULY 22, 2019

Summary The current trend in data management is to centralize the responsibilities of storing and curating the organization’s information to a data engineering team. This organizational pattern is reinforced by the architectural pattern of data lakes as a solution for managing storage and access.

Data Lake 100

Data Lake Hadoop Data Architecture 100

Start Data Engineering

MAY 11, 2022

Data lake structure 5. Loading user purchase data into the data warehouse 5.2 Loading classified movie review data into the data warehouse 5.3 Design considerations 8. Introduction 2. Objective 3. Prerequisite 4.2 AWS Infrastructure costs 4.3 Code walkthrough 5.1 Generating user behavior metric 5.4.

Data Engineering 246

Data Engineering Data Engineer Project Data Lake 246

Analytics Vidhya

FEBRUARY 27, 2023

Introduction Enterprises here and now catalyze vast quantities of data, which can be a high-end source of business intelligence and insight when used appropriately. Delta Lake allows businesses to access and break new data down in real time.

Data Lake 215

Data Lake Business Intelligence Designing Accessible 215

Monte Carlo

JUNE 2, 2021

As companies leverage more and more data to drive decision-making and maintain their competitive edge, it’s crucial that this data is accurate and reliable. Over the last few years, data lakes have emerged as a must-have for the modern data stack. What is data observability?

Data Lake 52

Data Lake Machine Learning Unstructured Data Datasets 52

Christophe Blefari

FEBRUARY 23, 2024

Understand the design principles of Snowflake — Someone took a few hours to understand Snowflake internals and this is a great wrap-up. Enabling near real-time data analytics on the data lake — Grab showcasing what they did with Flink and Hudi to enable real-time use-cases.

Data Lake 130

Data Lake PostgreSQL MongoDB Scala 130

Data Engineering Podcast

MAY 22, 2022

Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake. Stop struggling to speed up your data lake.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Data Engineering Podcast

APRIL 14, 2024

In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database. Data lakes are notoriously complex. How have the evolution in data formats (e.g. Go to dataengineeringpodcast.com/dagster today to get started.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Data Engineering Weekly

APRIL 21, 2024

link] RevenueCat: How we solved RevenueCat’s biggest challenges on data ingestion into Snowflake A common design feature of modern data lakes and warehouses is that Inserts and deletes are fast, but the cost of scattered updates grows linearly with the table size.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Data Engineering Weekly

MARCH 3, 2024

The migration enhanced data quality, lineage visibility, performance improvements, cost reductions, and better reliability and scalability, setting a robust foundation for future expansions and onboarding. Part 1: Why did we need to build our own SIEM?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Knowledge Hut

MARCH 28, 2024

They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines. Role Level Intermediate Responsibilities Design and develop data pipelines to ingest, process, and transform data. Education & Skills Required Using technologies such as Hadoop, Kafka, and Spark.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Christophe Blefari

JANUARY 20, 2024

You'll be also asked to put in place a data infrastructure. It means a data warehouse, a data lake or other concepts starting with data. Read technical blogs, watch conferences and read 📘 Designing Data-Intensive Applications (even if it could be overkill).

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Podcast

JANUARY 28, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.

Data Lake 147

Data Lake Building High Quality Data AWS 147

Data Engineering Podcast

DECEMBER 4, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. RudderStack helps you build a customer data platform on your warehouse or data lake. RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Lake 100

Data Lake MongoDB MySQL Data Warehouse 100

Ascend.io

AUGUST 31, 2023

Secondly , the rise of data lakes that catalyzed the transition from ELT to ELT and paved the way for niche paradigms such as Reverse ETL and Zero-ETL. Still, these methods have been overshadowed by EtLT — the predominant approach reshaping today’s data landscape.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 94

Data Lake Data Warehouse BI SQL 94

Data Engineering Podcast

DECEMBER 11, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. RudderStack helps you build a customer data platform on your warehouse or data lake. RudderStack helps you build a customer data platform on your warehouse or data lake.

Database 100

Database MySQL Data Lake MongoDB 100

Data Engineering Podcast

OCTOBER 16, 2022

Summary The "data lakehouse" architecture balances the scalability and flexibility of data lakes with the ease of use and transaction support of data warehouses. Mention the podcast to get a free "In Data We Trust World Tour" t-shirt.

Data Lake 100

Data Lake Food MongoDB Scala 100

Data Engineering Podcast

SEPTEMBER 7, 2020

In this episode he explains how it is designed to allow for querying and combining data where it resides, the use cases that such an architecture unlocks, and the innovative ways that it is being employed at companies across the world.

Architecture 100

Architecture Data Architecture SQL Engineering 100

Data Engineering Podcast

AUGUST 20, 2021

Summary Data lakes have been gaining popularity alongside an increase in their sophistication and usability. Despite improvements in performance and data architecture they still require significant knowledge and experience to deploy and manage. What was lacking in those systems that you are addressing with Cuelake?

Building 100

Building Data Lake Data Warehouse SQL 100

Knowledge Hut

NOVEMBER 2, 2023

Professionals establish IAM users, designate minimal permissions, and integrate IAM with AWS services and applications. Creating a Data Lake with Amazon S3 and AWS Glue Difficulty Level: Intermediate to Advanced A modern data management project is like constructing a data lake to store and process massive datasets.

AWS 52

AWS Coding Cloud Project 52

Data Engineering Podcast

DECEMBER 31, 2023

In this episode Andrey Korchack, CTO of fintech startup Monite, discusses the complexities of designing and implementing a data platform in that sector. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

Designing 130

Designing Data Lake High Quality Data SQL 130

Knowledge Hut

SEPTEMBER 25, 2023

You can learn deeply about the Azure learning journey that leads to the position of an Azure Data Engineer Associate on the Microsoft Azure platform. Who is an Azure Data Engineer? As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

NOVEMBER 17, 2023

In the post, we will investigate how to become an Azure data engineer, the skills required, the roles and responsibilities of an Azure data engineer, and much more. Who is an Azure Data Engineer? This involves knowing how to manage data partitions, load data into a data warehouse, and speed up query execution.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Cloudera

JUNE 2, 2022

Over the last decade, we have often heard about the proliferation of data creating sources (mobile applications, laptops, sensors, enterprise apps) in heterogeneous environments (cloud, on-prem, edge) resulting in the exponential growth of data being created.

Systems 105

Systems Data Lake Google Cloud Data Collection 105

Data Engineering Podcast

DECEMBER 3, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Systems 130

Systems Designing Data Lake SQL 130

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. A Data Engineer is responsible for designing the entire architecture of the data flow while taking the needs of the business into account.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Data Engineering Podcast

MAY 8, 2022

Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake.

Database 100

Database Data Lake BI Business Intelligence 100

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

FEBRUARY 9, 2020

Summary Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling strategy that provides them with flexibility and speed.

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

DataKitchen

NOVEMBER 4, 2021

Cloud computing has made it much easier to integrate data sets, but that’s only the beginning. Creating a data lake has become much easier, but that’s only ten percent of the job of delivering analytics to users. It often takes months to progress from a data lake to the final delivery of insights.

Process 98

Process Data Process Pharmaceutical Data Lake 98

U-Next

MARCH 1, 2023

They build scalable data processing pipelines and provide analytical insights to business users. A Data Engineer also designs, builds, integrates, and manages large-scale data processing systems. Let’s take a look at Morgan Stanley interview question : What is data engineering?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

François Nguyen

MARCH 22, 2021

With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services. And more precisely, the concern was about data like “products” or “customers” where you need to have a transversal approach.

Architecture 130

Architecture Technology Google Cloud Metadata 130

DataKitchen

AUGUST 19, 2021

For those embarking on the data mesh journey, it may be helpful to discuss a real-world example and the lessons learned from an actual data mesh implementation. DataKitchen has extensive experience using the data mesh design pattern with pharmaceutical company data. . The new Recipes run, and BOOM! Conclusion.

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

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

Towards Data Science

SEPTEMBER 27, 2023

Data Access API over Data Lake Tables Without the Complexity Build a robust GraphQL API service on top of your S3 data lake files with DuckDB and Go Photo by Joshua Sortino on Unsplash 1. This data might be primarily used for internal reporting, but might also be valuable for other services in our organization.

Data Lake 94

Data Lake Accessible Accessibility SQL 94

Monte Carlo

JUNE 28, 2022

To help organizations realize the full potential of their data lake and lakehouse investments, Monte Carlo, the data observability leader, is proud to announce integrations with Delta Lake and Databricks’ Unity Catalog for full data observability coverage. billion in 2020 to 17.60 billion in 2020 to 17.60

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52