Data Engineering Podcast

SEPTEMBER 17, 2023

Summary A significant amount of time in data engineering is dedicated to building connections and semantic meaning around pieces of information. In this episode Brian Platz explains how JSON-LD can be used as a shared representation of linked data for building semantic data products. Hex brings everything together.

Building 189

Building SQL BI Python 189

The Pragmatic Engineer

JULY 20, 2023

Venture funding is on a downward trend , and we seem to be at the start – or the middle – of a “startup purge” event. This news is hot off the press, publicly announced by Postman and by Akita yesterday, and you are among the early ones to hear about this event. On hiring Every startup hires differently.

Building 204

Building Programming Language Programming Python 204

Knowledge Hut

APRIL 25, 2023

In this article, we will look at how a scrum master facilitates events such as daily scrum meetings, sprint planning, sprint review, and sprint retrospective meetings. They also support the team in improving their process and collaborating more successfully. Also, we will discuss what qualities they must have to be great facilitators.

Utilities 98

Utilities Project Certification Process 98

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. What was your process for defining the problem you are focused on solving and the method to achieve that outcome? Who are the target users?

Business Intelligence 147

Business Intelligence Building Data Lake BI 147

Data Engineering Podcast

DECEMBER 30, 2019

In order to support their customers, they need to capture, process, and analyze massive amounts of timeseries data with a high degree of uptime and reliability. Upcoming events include the Software Architecture Conference in NYC, Strata Data in San Jose, and PyCon US in Pittsburgh.

Process 100

Process Building Hadoop Java 100

Confluent

NOVEMBER 30, 2022

Putting Apache Kafka To Use: A Practical Guide to Building an Event Streaming Platform.

Kafka 105

Kafka Building Process 105

Confluent

DECEMBER 7, 2022

Learn how to build a real-time streaming application using Apache Kafka® and.NET producer and consumer clients.

Building 59

Building Kafka Process 59

Workfall

JUNE 27, 2023

In this blog, we’ll explore how to harness the power of Kafka to streamline event streaming within a microservices architecture and unlock its full potential for building scalable and responsive systems. In the event of server failure, Kafka can autonomously restart itself, ensuring uninterrupted data flow. Let’s get started!

Kafka 75

Kafka Architecture AWS Transportation 75

Towards Data Science

APRIL 3, 2023

Building a Mental Model for Engineers and Anyone in Between Stream Processing can be handled gently and with care, or wildly, and almost out of control! By processing a smaller set of data, more often , you effectively divide and conquer a data problem that may otherwise be cost and time prohibitive.

Process 83

Process Data Lake Systems Bytes 83

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. This model is completely free form, we can build anything provided that we apply mechanical sympathy with the underlying system behavior. Four pillars of event streaming. Building the KPay payment system. Putting it all together.

Kafka 94

Kafka Pipeline-centric Architecture Database-centric 94

Confluent

JUNE 27, 2024

You’re not alone—GenAI apps can be challenging to build. Luckily, taking an event-driven approach can make the process more manageable. Struggling to get your GenAI app off the ground? Learn how.

Building 80

Building Process Management 80

Confluent

FEBRUARY 27, 2019

What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? Serverless functions provide a synergistic relationship with event streaming applications; they behave differently with respect to streaming workloads but are both event driven. Event-first FaaS? What is FaaS?

Kafka 109

Kafka AWS Architecture Cloud 109

dbt Developer Hub

NOVEMBER 3, 2022

Let’s discuss how to convert events from an event-driven microservice architecture into relational tables in a warehouse like Snowflake. We use Snowflake as our data warehouse where we build dashboards both for internal use and for customers. So our solution was to start using an intentional contract: Events.

Kafka 52

Kafka ETL Tools BI Database 52

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. It is the first choice Google would recommend when dealing with a stream processing workload.

Google Cloud 60

Google Cloud Process Cloud Lambda Architecture 60

Workfall

SEPTEMBER 26, 2023

Reading Time: 9 minutes In this blog, we will cover: What are Server-Sent Events? Why Stream Data Using Server-Sent Events (SSE)? Hands-On Conclusion What are Server-Sent Events? These events can carry information like notifications, updates, or alerts. What is FastAPI?

Python 85

Python Bytes Coding Project 85

Confluent

SEPTEMBER 11, 2023

See how you can leverage a data streaming platform to build event-driven microservices and do stream processing for faster, better customer onboarding.

Cloud 69

Cloud Building Process Data 69

Lyft Engineering

JUNE 28, 2023

While several teams were using streaming data in their Machine Learning (ML) workflows, doing so was a laborious process, sometimes requiring weeks or months of engineering effort. On the flip side, there was a substantial appetite to build real-time ML systems from developers at Lyft.

Machine Learning 116

Machine Learning Building Metadata Kafka 116

Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

Architecture 52

Architecture Generalist Government Datasets 52

AltexSoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. Integrating data from numerous, disjointed sources and processing it to provide context provides both opportunities and challenges. Order of process phases. Data engineering in 14 minutes. What is ELT?

Process 52

Process Building Raw Data Data Lake 52

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Event-driven architecture. Event-driven, reactive architecture. Data evolution.

Architecture 92

Architecture Programming Kafka Database-centric 92

Confluent

APRIL 4, 2019

Event-driven architecture means just that: It’s all about the events. In a microservices architecture, events drive microservice actions. No event, no shoes, no service. In the most basic scenario, microservices that need to take action on a common stream of events all listen to that stream.

Kafka 108

Kafka Data Cleanse Retail Finance 108

Towards Data Science

FEBRUARY 9, 2024

How to build a modern, scalable data platform to power your analytics and data science projects (updated) Table of Contents: What’s changed? Orchestration I mentioned modularity as a core concept of building a modern data platform in my 2021 article, but I failed to emphasize the importance of data orchestration.

Building 78

Building Transportation Data Lake Metadata 78

Precisely

DECEMBER 28, 2023

This article explores what streaming data pipelines are, how they work, and how to build this data pipeline architecture. Streaming data pipelines, by extension, offer an architecture capable of handling large volumes of data, accommodating millions of events in near real time. That’s where streaming data pipelines come into play.

Data Pipeline 91

Data Pipeline Building Kafka Big Data 91

Pinterest Engineering

JANUARY 4, 2024

In order to build a distributed and replicated service using RocksDB, we built a real time replicator library: Rocksplicator. Maintaining these disparate systems and building common functionality among them was adding a huge overhead to the teams. RocksDB is a single node key value store.

Database 93

Database Building Datasets Relational Database 93

Knowledge Hut

JANUARY 28, 2024

The change control process is a crucial aspect of project management intended to manage and regulate changes made to the project plan, schedule, and budget. These change control process steps are planning, analyzing, approval, testing, implementing, and closing. The change request kickstarts the process of change control.

Process 98

Process Project Designing Pharmaceutical 98

Cloudera

AUGUST 10, 2022

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. Cloudera Stream Processing Community Edition. Apache Kafka and SMM.

Process 89

Process Kafka PostgreSQL MySQL 89

Confluent

NOVEMBER 30, 2022

This guide will contain specific advice on how to go about building an event streaming platform in your organization. This is the second part of our guide on streaming data and Apache Kafka.

Kafka 52

Kafka Building Data Process 52

dbt Developer Hub

APRIL 19, 2023

Close alignment with actual business processes : Business processes and metrics are modeled and calculated as part of dimensional modeling. Part 2: Identify the business process ​ Now that you’ve set up the dbt project, database, and have taken a peek at the schema, it’s time for you to identify the business process.

Building 145

Building PostgreSQL BI Database 145

ProjectPro

FEBRUARY 16, 2023

Whether you’re looking to track objects in a video stream, build a face recognition system, or edit images creatively, OpenCV Python implementation is the go-to choice for the job. At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. What is OpenCV Python?

Python 98

Python Process Deep Learning Algorithm 98

Snowflake

OCTOBER 2, 2023

To help customers overcome these challenges, RudderStack and Snowflake recently launched Profiles , a new product that allows every data team to build a customer 360 directly in their Snowflake Data Cloud environment. Now teams can leverage their existing data engineering tools and workflows to build their customer 360.

Cloud 106

Cloud Building Insurance Data Engineer 106

Data Engineering Podcast

MARCH 2, 2020

Summary Building applications on top of unbounded event streams is a complex endeavor, requiring careful integration of multiple disparate systems that were engineered in isolation. The ksqlDB project was created to address this state of affairs by building a unified layer on top of the Kafka ecosystem for stream processing.

Kafka 100

Kafka Process PostgreSQL MySQL 100

LinkedIn Engineering

JANUARY 19, 2024

This multi-entity handover process involves huge amounts of data updating and cloning. Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. Push for eventual success of the request.

Recruitment 88

Recruitment Data Process Process Kafka 88

Workfall

SEPTEMBER 12, 2023

This makes it a powerful tool for building interactive and dynamic web applications that require instant data exchange between clients and servers, such as chat applications, online gaming, collaborative tools, and more. Its user-friendly API simplifies development, embracing an event-driven structure for custom interactions.

Building 89

Building MongoDB Programming Language Coding 89

Knowledge Hut

APRIL 16, 2024

Going for CSM certification training and knowing how to build a self-organizing team as a Scrum master will help you get trained well. Most Agile-Scrum organizations emphasize on building the self-organizing team - why? How Do You Build a Self-Organizing Team as a Scrum Master?

Building 98

Building Certification Project Management 98

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Process 86

Process Data Pipeline Datasets SQL 86

Knowledge Hut

MARCH 27, 2024

I suggest you appoint a risk mitigation team to make efforts to build a well-researched strategy to keep your organization running smoothly and sail through the competition and market challenges. It is an integral part of the risk management process and involves time allocation, finances, personnel, assets, and other resources.

Process 52

Process Portfolio Finance Certification 52

Confluent

MARCH 19, 2019

When should you use an event? I will attempt to articulate in layman’s terms what an event-driven architecture (EDA) is and contrast it with service-oriented architecture (SOA). In essence, this is an attempt to differentiate and/or associate APIs with events. Is not life simply a series of events? If it can, should it?

Architecture 110

Architecture Telecommunication Transportation Database 110