Picnic Engineering

OCTOBER 17, 2023

Building the data foundation for world’s best online supermarket The Importance of MDM In the fast-paced world of technology, it’s easy to be captivated by the allure of artificial intelligence. To create the best online grocery experience and ensure flawless operations, mastering data management became a vital practice.

Data Management 52

Data Management Management Food Data 52

Data Engineering Podcast

OCTOBER 1, 2023

Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI. How can you get the best results for your use case?

Building 162

Building BI SQL Machine Learning 162

Data Engineering Podcast

MAY 12, 2024

Summary Building a data platform is a substrantial engineering endeavor. Once it is running, the next challenge is figuring out how to address release management for all of the different component parts. Data lakes are notoriously complex. My thanks to the team at Code Comments for their support.

Management 147

Management Data Lake High Quality Data Machine Learning 147

Cloudera

NOVEMBER 28, 2023

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential. This means you can expect simpler data management and drastically improved productivity for your business users.

Certification 83

Certification Data Management Management Cloud 83

Data Engineering Podcast

JUNE 8, 2020

Summary The landscape of data management and processing is rapidly changing and evolving. This is a useful conversation to gain a macro perspective on where businesses are looking to improve their capabilities to work with data. If you hand a book to a new data engineer, what wisdom would you add to it?

Data Management 100

Data Management Management Machine Learning Portfolio 100

Data Engineering Podcast

APRIL 28, 2024

In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Building 147

Building Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

NOVEMBER 16, 2020

In this episode CEO and co-founder of Isima Darshan Rawal explains how the biOS platform is architected to enable ease of use, the challenges that were involved in building an entirely new system from scratch, and how it can integrate with the rest of your data platform to allow for incremental adoption. When is it the wrong choice?

Data Management 100

Data Management Management BI Business Intelligence 100

Data Engineering Podcast

FEBRUARY 26, 2023

Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Are you tired of dealing with the headache that is the 'Modern Data Stack'?

Building 147

Building Machine Learning Metadata Data Integration 147

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. Contact Info LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Data Lake 147

Data Lake Building High Quality Data AWS 147

LinkedIn Engineering

JULY 19, 2023

Co-Authors: Sumedh Sakdeo , Lei Sun , Sushant Raikar , Stanislav Pak , and Abhishek Nath Introduction At LinkedIn, we build and operate an open source data lakehouse deployment to power Analytics and Machine Learning workloads. While functional, our current setup for managing tables is fragmented.

Big Data 78

Big Data Data Management Management Metadata 78

Data Engineering Podcast

OCTOBER 15, 2023

Summary Building streaming applications has gotten substantially easier over the past several years. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. How can you get the best results for your use case?

Process 182

Process Building SQL BI 182

Data Engineering Podcast

MAY 5, 2024

In this episode he explains his approach to building AI in a more human-like fashion and the emphasis on learning rather than statistical prediction. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines.

Building 147

Building Data Lake High Quality Data Machine Learning 147

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Data Engineering Podcast

JULY 23, 2023

In this episode he explains how investing in high performance and operationally simplified streaming with a familiar API can yield significant benefits for software and data teams together. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

Building 130

Building Machine Learning SQL Python 130

Data Engineering Podcast

AUGUST 27, 2023

Summary Data persistence is one of the most challenging aspects of computer systems. In the era of the cloud most developers rely on hosted services to manage their databases, but what if you are a cloud service? What are the different methods that you have used for managing database instances?

Database 130

Database Building PostgreSQL BI 130

Data Engineering Podcast

MARCH 5, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Hey there podcast listener, are you tired of dealing with the headache that is the 'Modern Data Stack'? It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze.

Building 147

Building Database Design Machine Learning Metadata 147

RandomTrees

NOVEMBER 5, 2024

Good data management in Salesforce provides insight into improving interactions with customers and making business operations easier. In this blog, we will take you through the basic steps that help in managing data effectively in Salesforce. Step 1: Understand Your Data Model 1.1 Step 3: Data Integration 3.1.

Management 52

Management Data Utilities Data Validation 52

Data Engineering Podcast

JANUARY 23, 2022

In this episode he shares his career journey, the challenges related to management of data professionals, and the platform design that he and his team have built to power analytics at a large company. He also provides some excellent insights into the factors that play into the build vs. buy decision at different organizational sizes.

Building 100

Building Management Data Pipeline Metadata 100

Data Engineering Podcast

APRIL 16, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. How have the recent breakthroughs in large language models (LLMs) improved your ability to build features in Zenlytic?

Business Intelligence 147

Business Intelligence Building Data Lake BI 147

Data Engineering Podcast

JUNE 11, 2023

Summary Data engineering is all about building workflows, pipelines, systems, and interfaces to provide stable and reliable data. Your data can be stable and wrong, but then it isn't reliable. Confidence in your data is achieved through constant validation and testing.

Project 130

Project Building Data Lake Machine Learning 130

Data Engineering Podcast

NOVEMBER 13, 2022

Summary Building data products is an undertaking that has historically required substantial investments of time and talent. With the rise in cloud platforms and self-serve data technologies the barrier of entry is dropping. Shane Gibson co-founded AgileData to make analytics accessible to companies of all sizes.

Building 130

Building Metadata MongoDB MySQL 130

Data Engineering Podcast

JULY 27, 2021

Datastax has recently introduced a new managed offering for Pulsar workloads in the form of Astra Streaming that lowers those barriers and make stremaing workloads accessible to a wider audience. RudderStack’s smart customer data pipeline is warehouse-first. Go to dataengineeringpodcast.com/97things today to get your copy!

Building 100

Building Management Kafka Data Warehouse 100

Data Engineering Podcast

SEPTEMBER 3, 2018

Using master data management to build a data catalog helps you answer these questions reliably and simplify the process of building your business intelligence reports. Can you start by establishing a definition of data mastering that we can work from?

Data Management 100

Data Management Management Relational Database Business Intelligence 100

Data Engineering Podcast

JANUARY 29, 2023

The team at Omni have taken a new approach by automatically building models based on the queries that are executed. In this episode Chris Merrick shares how they manage integration and automation around the modeling layer and how it improves the organizational experience of business intelligence.

Business Intelligence 130

Business Intelligence Building PostgreSQL BI 130

Data Engineering Podcast

JANUARY 15, 2023

Summary The modern data stack has made it more economical to use enterprise grade technologies to power analytics at organizations of every scale. Unfortunately it has also introduced new overhead to manage the full experience as a single workflow. Go to dataengineeringpodcast.com/gartnerda today to find out more. Your flagship (only?)

Coding 130

Coding Building PostgreSQL Data Lake 130

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. This is particularly useful for companies that need to process data in near-real-time.

AWS 52

AWS Data Management ETL Tools Management 52

Data Engineering Podcast

NOVEMBER 6, 2022

In this episode Nick King discusses how you can be intentional about data creation in your applications and services to reduce the friction and errors involved in building data products and ML applications. Can you share your definition of "behavioral data" and how it is differentiated from other sources/types of data?

Building 130

Building IT Metadata MongoDB 130

Data Engineering Podcast

DECEMBER 12, 2021

Summary Spark is a powerful and battle tested framework for building highly scalable data pipelines. Because of its proven ability to handle large volumes of data Capital One has invested in it for their business needs. Who are the consumers of the data assets that you are producing?

Building 130

Building Data Pipeline BI Data Warehouse 130

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. End-to-end Data Lifecycle.

Technology 87

Technology Data Management Management Insurance 87

The Modern Data Company

JULY 29, 2024

This dramatic increase in vendors hasn’t led to the expected data revolution. Rather, it has created needlessly complex data architectures that are inflexible, resist change, and stifle innovation. As businesses grow and evolve, their data needs expand exponentially.

Data Architecture 52

Data Architecture Architecture Building Pipeline-centric 52

databricks

OCTOBER 9, 2024

With the pace of modern business and the competitive need for more and more data, organizations now correctly ask whether their data management.

IT 92

IT Building Data Data Management 92

Data Engineering Podcast

MARCH 27, 2022

The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor. Privacera is an enterprise grade solution for cloud and hybrid data governance built on top of the robust and battle tested Apache Ranger project. What do you have planned for the future of Privacera?

Data Governance 130

Data Governance Government Cloud Building 130

Data Engineering Podcast

SEPTEMBER 11, 2022

Summary Any business that wants to understand their operations and customers through data requires some form of pipeline. Building reliable data pipelines is a complex and costly undertaking with many layered requirements. RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Data Engineering Podcast

MARCH 20, 2022

This adds a requirement for reliability and management of up-time similar to application infrastructure. In this episode Francisco Alberini and Mei Tao share their insights on what incident management looks like for data platforms and the teams that support them. Join Pipeline Academy, the worlds first data engineering bootcamp.

Management 100

Management Data Lake Data Engineer Data Engineering 100

Data Engineering Podcast

DECEMBER 29, 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.

Management 130

Management Metadata Business Intelligence Data Lake 130