Data, Data Engineering, Data Lake and Data Pipeline

Build A Data Lake For Your Security Logs With Scanner

Data Engineering Podcast

JANUARY 28, 2024

Summary Monitoring and auditing IT systems for security events requires the ability to quickly analyze massive volumes of unstructured log data. Cliff Crosland co-founded Scanner to provide fast querying of high scale log data for security auditing. SIEM) A query engine is useless without data to analyze.

Data Lake

Data Lake Building High Quality Data AWS

Keep Your Data Lake Fresh With Real Time Streams Using Estuary

Data Engineering Podcast

MAY 21, 2023

Summary Batch vs. streaming is a long running debate in the world of data integration and transformation. Proponents of the streaming paradigm argue that stream processing engines can easily handle batched workloads, but the reverse isn't true. What is the impact of continuous data flows on dags/orchestration of transforms?

Data Lake

Data Lake Machine Learning Kafka Data Warehouse

How to learn data engineering

Christophe Blefari

JANUARY 20, 2024

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. Who are the data engineers?

Data Engineering

Data Engineering Data Engineer Engineering Hadoop

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

Seamless SQL And Python Transformations For Data Engineers And Analysts With SQLMesh

Data Engineering Podcast

JUNE 25, 2023

Summary Data transformation is a key activity for all of the organizational roles that interact with data. Because of its importance and outsized impact on what is possible for downstream data consumers it is critical that everyone is able to collaborate seamlessly. Can you describe what SQLMesh is and the story behind it?

Data Engineering

Data Engineering Data Engineer Python Engineering

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

FEBRUARY 18, 2024

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. Join in with the event for the global data community, Data Council Austin.

Data Lake

Data Lake High Quality Data Data Warehouse Google Cloud

Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

MAY 18, 2024

Summary The purpose of business intelligence systems is to allow anyone in the business to access and decode data to help them make informed decisions. The team at Zenlytic have leaned on the promise of large language models to build an AI agent that lets you converse with your data. Data lakes are notoriously complex.

Building

Building Data Lake High Quality Data Business Intelligence

CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

Data Science Blog: Data Engineering

MAY 20, 2024

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines: It is a Game-Changer with AnalyticsCreator! The need for efficient and reliable data pipelines is paramount in data science and data engineering. They transform data into a consistent format for users to consume.

Data Pipeline

Data Pipeline BI Data Lake Data Warehouse

Release Management For Data Platform Services And Logic

Data Engineering Podcast

MAY 12, 2024

Summary Building a data platform is a substrantial engineering endeavor. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. Data lakes are notoriously complex.

Management

Management Data Lake High Quality Data Machine Learning

Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer

Data Engineering Podcast

APRIL 7, 2024

Summary Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. Dagster offers a new approach to building and running data platforms and data pipelines.

Data Lake

Data Lake High Quality Data BI Data Workflow

Data Migration Strategies For Large Scale Systems

Data Engineering Podcast

MAY 26, 2024

When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments. Can you start by sharing some of your experiences with data migration projects?

Systems

Systems Data Lake High Quality Data Google Cloud

Ship Smarter Not Harder With Declarative And Collaborative Data Orchestration On Dagster+

Data Engineering Podcast

MARCH 24, 2024

Summary A core differentiator of Dagster in the ecosystem of data orchestration is their focus on software defined assets as a means of building declarative workflows. Data lakes are notoriously complex. Your first 30 days are free! Want to see Starburst in action? What problems are you trying to solve with Dagster+?

Data Lake

Data Lake High Quality Data Hadoop Data Pipeline

Making Email Better With AI At Shortwave

Data Engineering Podcast

APRIL 21, 2024

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. Data lakes are notoriously complex. Your first 30 days are free! Want to see Starburst in action?

Data Lake

Data Lake High Quality Data Data Pipeline Machine Learning

Tackling Real Time Streaming Data With SQL Using RisingWave

Data Engineering Podcast

FEBRUARY 4, 2024

In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

SQL

SQL Data Lake High Quality Data Data Pipeline

Reduce The Overhead In Your Pipelines With Agile Data Engine's DataOps Service

Data Engineering Podcast

JUNE 4, 2023

Summary A significant portion of the time spent by data engineering teams is on managing the workflows and operations of their pipelines. Agile Data Engine is a platform designed to handle the infrastructure side of the DataOps equation, as well as providing the insights that you need to manage the human side of the workflow.

Data Engineering

Data Engineering Data Engineer Engineering Data Lake

Version Your Data Lakehouse Like Your Software With Nessie

Data Engineering Podcast

MARCH 10, 2024

Summary Data lakehouse architectures are gaining popularity due to the flexibility and cost effectiveness that they offer. The link that bridges the gap between data lake and warehouse capabilities is the catalog. Data lakes are notoriously complex. Your first 30 days are free! Want to see Starburst in action?

Data Lake

Data Lake High Quality Data Data Pipeline Architecture

Charting A Path For Streaming Data To Fill Your Data Lake With Hudi

Data Engineering Podcast

AUGUST 3, 2021

Summary Data lake architectures have largely been biased toward batch processing workflows due to the volume of data that they are designed for. With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large, historical analysis.

Data Lake

Data Lake Data Warehouse Hadoop Architecture

Reconciling The Data In Your Databases With Datafold

Data Engineering Podcast

MARCH 17, 2024

Summary A significant portion of data workflows involve storing and processing information in database engines. In this episode Gleb Mezhanskiy, founder and CEO of Datafold, discusses the different error conditions and solutions that you need to know about to ensure the accuracy of your data. Data lakes are notoriously complex.

Database

Database Data Lake High Quality Data Data Workflow

Data Sharing Across Business And Platform Boundaries

Data Engineering Podcast

FEBRUARY 11, 2024

Summary Sharing data is a simple concept, but complicated to implement well. There are also numerous technical considerations to be made, particularly if the producer and consumer of the data aren't using the same platforms. Dagster offers a new approach to building and running data platforms and data pipelines.

Data Lake

Data Lake High Quality Data Government Data Pipeline

Barking Up The Wrong GPTree: Building Better AI With A Cognitive Approach

Data Engineering Podcast

MAY 5, 2024

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. Data lakes are notoriously complex. Your first 30 days are free! Want to see Starburst in action?

Building

Building Data Lake High Quality Data Machine Learning

Build Your Second Brain One Piece At A Time

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. Your first 30 days are free! Want to see Starburst in action?

Building

Building Data Lake High Quality Data Machine Learning

Data Engineering: A Formula 1-inspired Guide for Beginners

Towards Data Science

DECEMBER 4, 2023

A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? In this guide Data Engineering meets Formula 1. I bet you are, this article is for you!

Data Engineering

Data Engineering Data Engineer Engineering Data Lake

The Future of Data Engineering as a Data Engineer

Monte Carlo

JANUARY 23, 2024

In the world of data engineering, Maxime Beauchemin is someone who needs no introduction. Currently, Maxime is CEO and co-founder of Preset , a fast-growing startup that’s paving the way forward for AI-enabled data visualization for modern companies. Enter, the data engineer. What is a data engineer today?

Data Engineering

Data Engineering Data Engineer Engineering Data

Modern Customer Data Platform Principles

Data Engineering Podcast

JANUARY 21, 2024

A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

Data Lake

Data Lake High Quality Data NoSQL Data Warehouse

Realtime Data Applications Made Easier With Meroxa

Data Engineering Podcast

APRIL 23, 2023

Meroxa was created to enable teams of all sizes to deliver real-time data applications. In this episode DeVaris Brown discusses the types of applications that are possible when teams don't have to manage the complex infrastructure necessary to support continuous data flows. Can you describe what Meroxa is and the story behind it?

Data Lake

Data Lake Kafka Machine Learning Data Warehouse

Designing A Non-Relational Database Engine

Data Engineering Podcast

APRIL 14, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is brought to you by Datafold – a testing automation platform for data engineers that prevents data quality issues from entering every part of your data workflow, from migration to dbt deployment.

Non-relational Database

Non-relational Database Relational Database Database Designing

Data Engineering Weekly #161

Data Engineering Weekly

MARCH 3, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.

Data Engineering

Data Engineering Data Engineer Pipeline-centric Engineering

Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

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. Data stacks are becoming more and more complex. Sifflet also offers a 2-week free trial.

Data Pipeline

Data Pipeline Building MongoDB Scala

Exploring Processing Patterns For Streaming Data Integration In Your Data Lake

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

Data Lake Data Integration Lambda Architecture Process

Pushing The Limits Of Scalability And User Experience For Data Processing WIth Jignesh Patel

Data Engineering Podcast

JANUARY 7, 2024

Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. Unfortunately, the volumes of data that are being generated continue to double, requiring further advancements in the platform capabilities to keep up. What are the open questions today in technical scalability of data engines?

Data Process

Data Process Process Data Lake High Quality Data

Cloud Native Data Orchestration For Machine Learning And Data Engineering With Flyte

Data Engineering Podcast

MAY 22, 2022

Summary Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of orchestrating the entire data flow. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Machine Learning

Machine Learning Data Engineering Data Engineer Cloud

When And How To Conduct An AI Program

Data Engineering Podcast

MARCH 3, 2024

Colleen Tartow has worked across all stages of the data lifecycle, and in this episode she shares her hard-earned wisdom about how to conduct an AI program for your organization. Data lakes are notoriously complex. Join us at the top event for the global data community, Data Council Austin.

Programming

Programming Data Lake High Quality Data Data Pipeline

Troubleshooting Kafka In Production

Data Engineering Podcast

DECEMBER 24, 2023

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Data lakes are notoriously complex.

Kafka

Kafka Data Lake High Quality Data SQL

Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

FEBRUARY 25, 2024

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. Data lakes are notoriously complex. Your first 30 days are free! Want to see Starburst in action?

Database

Database Technology Data Lake High Quality Data

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Data Engineering Podcast

MARCH 31, 2024

Summary Working with data is a complicated process, with numerous chances for something to go wrong. Identifying and accounting for those errors is a critical piece of building trust in the organization that your data is accurate and up to date. Dagster offers a new approach to building and running data platforms and data pipelines.

Project

Project Data Lake High Quality Data Data Workflow

Insights And Advice On Building A Data Lake Platform From Someone Who Learned The Hard Way

Data Engineering Podcast

MAY 15, 2022

Summary Designing a data platform is a complex and iterative undertaking which requires accounting for many conflicting needs. Designing a platform that relies on a data lake as its central architectural tenet adds additional layers of difficulty. Struggling with broken pipelines? Missing data? Stale dashboards?

Data Lake

Data Lake Building BI Architecture

Streaming Data Pipelines Made SQL With Decodable

Data Engineering Podcast

OCTOBER 28, 2021

Summary Streaming data systems have been growing more capable and flexible over the past few years. Despite this, it is still challenging to build reliable pipelines for stream processing. Struggling with broken pipelines? Missing data? Start trusting your data with Monte Carlo today! Stale dashboards?

Data Pipeline

Data Pipeline SQL Data Warehouse Data Lake

Designing Data Transfer Systems That Scale

Data Engineering Podcast

DECEMBER 3, 2023

Summary The first step of data pipelines is to move the data to a place where you can process and prepare it for its eventual purpose. Data transfer systems are a critical component of data enablement, and building them to support large volumes of information is a complex endeavor. With Materialize, you can!

Systems

Systems Designing Data Lake SQL

Addressing The Challenges Of Component Integration In Data Platform Architectures

Data Engineering Podcast

NOVEMBER 26, 2023

Summary Building a data platform that is enjoyable and accessible for all of its end users is a substantial challenge. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Data lakes are notoriously complex.

Architecture

Architecture Data Lake High Quality Data SQL

Designing Data Platforms For Fintech Companies

Data Engineering Podcast

DECEMBER 31, 2023

Summary Working with financial data requires a high degree of rigor due to the numerous regulations and the risks involved in security breaches. In this episode Andrey Korchack, CTO of fintech startup Monite, discusses the complexities of designing and implementing a data platform in that sector. Want to see Starburst in action?

Designing

Designing Data Lake High Quality Data SQL

Tips to Build a Robust Data Lake Infrastructure

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently.

Data Lake

Data Lake Building Raw Data ETL Tools

Adding An Easy Mode For The Modern Data Stack With 5X

Data Engineering Podcast

DECEMBER 17, 2023

Summary The "modern data stack" promised a scalable, composable data platform that gave everyone the flexibility to use the best tools for every job. In this episode founder Tarush Aggarwal explains how the realities of the modern data stack are impacting data teams and the work that they are doing to accelerate time to value.

Data Lake

Data Lake High Quality Data SQL Architecture

Redefining Data Engineering: GenAI for Data Modernization and Innovation – RandomTrees

RandomTrees

FEBRUARY 6, 2024

Data engineering, the practice of collecting, transforming, and organizing data for analysis, is poised for a significant transformation with the advent of Generative Artificial Intelligence (Gen AI). Ingestion: The Art of Data Assimilation: Ensuring the digital document accurately reflects the original handwritten material.

Data Engineering

Data Engineering Data Engineer Engineering Data Lake

Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

Monte Carlo

AUGUST 25, 2023

Modern companies are ingesting, storing, transforming, and leveraging more data to drive more decision-making than ever before. Data teams need to balance the need for robust, powerful data platforms with increasing scrutiny on costs. But, the options for data storage are evolving quickly. Let’s dive in.

Data Lake

Data Lake Data Warehouse Unstructured Data Raw Data

What Happens When The Abstractions Leak On Your Data

Data Engineering Podcast

MAY 14, 2023

In this episode the host Tobias Macey shares his reflections on recent experiences where the abstractions leaked and some observances on how to deal with that situation in a data platform architecture. What do you have planned for the future of your data platform? When is ELT the wrong choice?

Data Lake

Data Lake Machine Learning Data Warehouse AWS

Build A Data Lake For Your Security Logs With Scanner

Keep Your Data Lake Fresh With Real Time Streams Using Estuary

Webinars

Trending Sources

How to learn data engineering

Webinars

Seamless SQL And Python Transformations For Data Engineers And Analysts With SQLMesh

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Zenlytic Is Building You A Better Coworker With AI Agents

CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

Release Management For Data Platform Services And Logic

Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer

Data Migration Strategies For Large Scale Systems

Ship Smarter Not Harder With Declarative And Collaborative Data Orchestration On Dagster+

Making Email Better With AI At Shortwave

Tackling Real Time Streaming Data With SQL Using RisingWave

Reduce The Overhead In Your Pipelines With Agile Data Engine's DataOps Service

Version Your Data Lakehouse Like Your Software With Nessie

Charting A Path For Streaming Data To Fill Your Data Lake With Hudi

Reconciling The Data In Your Databases With Datafold

Data Sharing Across Business And Platform Boundaries

Barking Up The Wrong GPTree: Building Better AI With A Cognitive Approach

Build Your Second Brain One Piece At A Time

Data Engineering: A Formula 1-inspired Guide for Beginners

The Future of Data Engineering as a Data Engineer

Modern Customer Data Platform Principles

Realtime Data Applications Made Easier With Meroxa

Designing A Non-Relational Database Engine

Data Engineering Weekly #161

Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

Exploring Processing Patterns For Streaming Data Integration In Your Data Lake

Pushing The Limits Of Scalability And User Experience For Data Processing WIth Jignesh Patel

Cloud Native Data Orchestration For Machine Learning And Data Engineering With Flyte

When And How To Conduct An AI Program

Troubleshooting Kafka In Production

Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Insights And Advice On Building A Data Lake Platform From Someone Who Learned The Hard Way

Streaming Data Pipelines Made SQL With Decodable

Designing Data Transfer Systems That Scale

Addressing The Challenges Of Component Integration In Data Platform Architectures

Designing Data Platforms For Fintech Companies

Tips to Build a Robust Data Lake Infrastructure

Adding An Easy Mode For The Modern Data Stack With 5X

Redefining Data Engineering: GenAI for Data Modernization and Innovation – RandomTrees

Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

What Happens When The Abstractions Leak On Your Data

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