Scott Logic

APRIL 22, 2024

I’ve coloured the data entities according to their types and we see there’s a few different patterns like events and state which we’ll discuss in a moment. I’ll use the term message in this blog as a generic term for asynchronous communication that may be state or commands or events.

AWS 52

AWS Metadata Systems Kafka 52

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. Four pillars of event streaming. Pillar 1 – Business function: Payment processing pipeline. Pillar 4 – Operational plane: Event logging, DLQs and automation. Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture.

Kafka 94

Kafka Pipeline-centric Architecture Database-centric 94

Netflix Tech

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 107

Data Engineering Data Engineer Engineering Metadata 107

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

Edureka

AUGUST 21, 2024

The approval process in Salesforce is one vital feature that automates the workflow of obtaining approvals from different records. Understanding the approval process within Salesforce will help the organization smooth out its operations. Table of Content What is the Salesforce Approval Process? How to Set Up Email Notification?

Process 52

Process Consulting Metadata Management 52

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

Maxime Beauchemin

JANUARY 7, 2018

Batch data processing  — historically known as ETL —  is extremely challenging. In this post, we’ll explore how applying the functional programming paradigm to data engineering can bring a lot of clarity to the process. The greater the claim made using analytics, the greater the scrutiny on the process should be.

Data Engineering 183

Data Engineering Data Engineer Data Process Process 183

Netflix Tech

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. During this evolution, quite often we receive requests to update the existing assets metadata or add new metadata for the new features added.

Management 96

Management Kafka Metadata Media 96

Netflix Tech

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. For example: {“device_type”: “ios”}.

Bytes 94

Bytes Datasets Metadata Data 94

Data Engineering Podcast

SEPTEMBER 14, 2020

Tree Schema is a data catalog that is making metadata management accessible to everyone. For more opportunities to stay up to date, gain new skills, and learn from your peers there are a growing number of virtual events that you can attend from the comfort and safety of your home.

Process 100

Process Unstructured Data Metadata Data Engineer 100

Data Engineering Podcast

NOVEMBER 26, 2023

Developing event-driven pipelines is going to be a lot easier - Meet Functions! Memphis Logo]([link] Developing event-driven pipelines is going to be a lot easier - Meet Functions! Developing event-driven pipelines is going to be a lot easier - Meet Functions! Go to [materialize.com]([link] today and get 2 weeks free!

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. We’ll return to the sample customer lifecycle: Processing Requirement : Keep track of the end-of-hour state of accounts, e.g., Active/Upgraded/Downgraded/Canceled.

Metadata 99

Metadata Data Pipeline Scala Data Workflow 99

Data Engineering Podcast

JUNE 17, 2023

By incorporating column-level lineage in the data modeling process it encourages a more robust and well-informed design. In this episode Satish Jayanthi explores the benefits of incorporating column-aware tooling in the data modeling process. What are some of the ways that that information can be fed into other contexts?

Data Lake 130

Data Lake Metadata Machine Learning Data Architecture 130

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. These components interact seamlessly with each other, making Spark a versatile and comprehensive platform for processing huge volumes of diverse information.

Big Data 52

Big Data Data Process Process Hadoop 52

Netflix Tech

JUNE 1, 2023

New content or national events may drive brief spikes, but, by and large, traffic is usually smoothly increasing or decreasing. Next, we launched a Mantis job that processed all requests in the stream and replayed them in a duplicate production environment created for replay traffic. We used Elasticsearch dashboards to analyze results.

Algorithm 138

Algorithm Metadata Kafka Systems 138

Netflix Tech

SEPTEMBER 18, 2024

HashMap<String, SortedMap<Bytes, Bytes>> For complex data models such as structured Records or time-ordered Events, this two-level approach handles hierarchical structures effectively, allowing related data to be retrieved together. This model supports both simple and complex data models, balancing flexibility and efficiency.

Bytes 99

Bytes Metadata Database Data 99

Precisely

MAY 13, 2024

With these factors and more in mind, starting the process can feel overwhelming – but not to worry. Whether you’re bringing a new system online or connecting an existing database with your analytics platform, the process should be simple and straightforward. How much time is required from me for this process? #3.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Data Engineering Weekly

NOVEMBER 3, 2024

link] Event Alert: MLOps World/ Gen AI World - Austin, TX - Nov 7-8 The Gen AI Summit, consisting of a wider group of 20,000 Engineers, AI entrepreneurs, and Scientists, will host 1,000 AI teams in Austin, TX, November 7-8. Passes include app-brain-date networking, birds of a feature, post-event parties, etc.

Data Engineering 62

Data Engineering Data Engineer Engineering Pipeline-centric 62

Rockset

MARCH 18, 2024

Flink is one of the most popular stream processing technologies, ranked as a top five Apache project and backed by a diverse committer community including Alibaba and Apple. It powers steam processing at many companies including Uber, Netflix, and Linkedin. What is RAG?

Cloud 64

Cloud Building Metadata Kafka 64

Snowflake

DECEMBER 12, 2023

At our recent Snowday event, we announced a wave of Snowflake product innovations for easier application development, new AI and LLM capabilities, better cost management and more. If you missed the event or need a refresh of what was presented, watch any Snowday session on demand. Learn more about Iceberg Tables here. Learn more here.

Metadata 94

Metadata Python AWS Government 94

Data Engineering Podcast

MARCH 25, 2023

RudderStack Transformations lets you customize your event data in real-time with your own JavaScript or Python code. Join in with the event for the global data community, Data Council Austin. Don't miss out on their only event this year! Don't miss out on our only event this year!

MySQL 130

MySQL Python Architecture Machine Learning 130

Lyft Engineering

OCTOBER 3, 2023

For example, we can almost instantly validate that each record is well-formed and complete during event generation. Our Analytic Event Lifecycle below demonstrates the workflow of how much of our data gets to Hive. We log these events asynchronously at the order of millions per second.

Big Data 85

Big Data Metadata Data Warehouse Data 85

Precisely

JUNE 24, 2024

They are working through organizational design challenges while also establishing foundational data management capabilities like metadata management and data governance that will allow them to offer trusted data to the business in a timely and efficient manner for analytics and AI.”

Food 94

Food Data Analytics Pharmaceutical Consulting 94

François Nguyen

JANUARY 18, 2021

In every step,we do not just read, transform and write data, we are also doing that with the metadata. As mentioned in the DataKitchen article, it is deployed automatically with code. As mentioned in the DataKitchen article, it is deployed automatically with code. It is not an extra work by reading the database schema or based on your ETL.

Data Governance 130

Data Governance Metadata Government Data Pipeline 130

The Pragmatic Engineer

AUGUST 3, 2023

To make this migration easier and as seamless as possible, we will give developers the ability to export their deep-link metadata.” Events tech company Hopin selling its events tech business. The ‘startup purge’ event that we predicted at the beginning the year would come seems to, sadly, be here.

Metadata 160

Metadata Engineering Building Technology 160

Data Engineering Weekly

MAY 16, 2023

The bias toward correctness will increase the processing time, which may not be feasible when speed is a priority. Let’s talk about the data processing types. The industry follows two categories of data processing techniques to handle the trade-off between speed and correctness.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Precisely

OCTOBER 17, 2024

This year, our annual Data Integrity Summit, Trust ’24, was better than ever – and a big part of what made the event so exciting was our first-ever Data Integrity Awards ! We were thrilled to shine the spotlight on customers driving AI innovation, business results, and societal impact.

Data Integration 69

Data Integration Data Governance Government Metadata 69

Precisely

JANUARY 25, 2024

A single IBM z16 mainframe can process as many as 19 billion credit card transactions every day. Mainframe Modernization Patterns Every organization’s IT landscape is unique, as are its business processes and requirements. Real-time or near real-time replication is most common. Best Practice 2. Best Practice 3.

Metadata 69

Metadata Relational Database Data Governance Government 69

Workfall

JUNE 12, 2023

Moreover, it facilitates the implementation of microservices architectures and event-driven systems, automating reactions to data changes without manual intervention. CDC also plays a crucial role in data integration and ETL processes. This keeps analytical systems up to date for accurate reporting and analysis.

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Data Engineering Podcast

AUGUST 28, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. In your experience, what would be required to allow for triggering data processes based on the needs of the data consumers?

Data Engineer 100

Data Engineer Data Engineering MongoDB Metadata 100

AltexSoft

DECEMBER 23, 2022

Integrating data from numerous, disjointed sources and processing it to provide context provides both opportunities and challenges. In this article, we will explore the ELT process in detail, including how it works, its benefits, and common use cases. Order of process phases. What is ELT? ELT vs ETL. Flexibility.

Process 52

Process Building Raw Data Data Lake 52

Netflix Tech

SEPTEMBER 10, 2024

This call includes metadata, such as the user’s information and details about the command, such as the specific show to play. The voice service then constructs a message for the device and places it on the message queue, which is then processed and sent to Pushy to deliver to the device. It served Pushy’s needs well for many years.

Metadata 91

Metadata Coding Transportation Systems 91

ProjectPro

FEBRUARY 8, 2023

For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. It offers a simple and efficient solution for data processing in organizations. Users can schedule ETL jobs, and they can also choose the events that will trigger them.

AWS 98

AWS Scala Metadata Data Lake 98

Data Engineering Podcast

JULY 10, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. What is your process for establishing and evaluating selection criteria for any new technologies that you adopt?

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Data Engineering Weekly

OCTOBER 13, 2024

Data-Arks serves as a vital component in integrating Large Language Models (LLMs) into the analytics workflow, streamlining processes like generating regular metric reports and conducting fraud investigations [link]. The author categorizes these queries into four types: append-only, upsert, min-delta (CDC), and full-delta (CDC).

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Data Engineering Weekly

AUGUST 25, 2024

Google’s search ranking system is a complex, multi-step process that begins with indexing new content, assigning it a unique DocID, and calculating its relevance based on keyword presence. Treat Events as a first-class citizen, and remember that it is always the upstream that causes the failure.

Data Engineering 70

Data Engineering Data Engineer Engineering Database-centric 70

Netflix Tech

SEPTEMBER 29, 2022

Timestone clients can create queues, enqueue messages with user-defined deadlines and metadata, then dequeue these messages in an earliest-deadline-first (EDF) fashion. messages that belong to queue X and have metadata Y”) is also supported. Allow for dequeueing and queue depth querying using filters (metadata key-value pairs) 4.

Systems 87

Systems Metadata Media Kafka 87