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 97

Metadata Data Pipeline Scala Data Workflow 97

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 Engineering 100

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 136

Algorithm Metadata Kafka Systems 136

Ascend.io

APRIL 22, 2024

A unified platform that combines a powerful metadata core, an extensible plugin architecture, DataAware automation, and multiple AI Assistants. Lack of unified metadata makes it difficult to optimize pipelines, avoid redundant processing, and quantify data engineering costs.

Project 52

Project Metadata Data Pipeline Data Engineering 52

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 84

Big Data Metadata Data Warehouse Data 84

Snowflake

APRIL 29, 2024

Recover: establish processes for rapid recovery after incidents to ensure business continuity. This translates to several key requirements and their associated benefits: More stringent technical and process-oriented security measures, enhancing protection for both FEs and their ICT third-party providers. Five Core Pillars of DORA 1.

Transportation 81

Transportation Data Governance Government Consulting 81

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 159

Metadata Engineering Building Technology 159

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

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

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 Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

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

LinkedIn Engineering

DECEMBER 19, 2023

These clusters are the backbone for storing and processing extensive data volumes, empowering us to deliver essential features and services to members, such as personalized recommendations, enhanced search functionality, and valuable insights. Architecture The RU framework, written in Golang , consists of the orchestrator and the agent.

Big Data 92

Big Data Hadoop Metadata Data 92

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 85

Systems Metadata Media Kafka 85

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. The Event Driven Decisions capability in particular turned out to be general enough as to be applicable to a wide range of use cases.

Machine Learning 115

Machine Learning Building Metadata Kafka 115

Cloudera

JULY 14, 2023

In all the use cases we are trying to migrate a table named “events.” It could be much easier to simply stop all those jobs rather than allowing them to continue during the migration process. They simply read the underlying data (not even full read, they just read the parquet headers) and create corresponding Iceberg metadata files.

Metadata 70

Metadata Data Warehouse Big Data Ecosystem Java 70

Data Engineering Podcast

APRIL 24, 2022

In this episode Andy Dang explains why the project was created, how you can apply it to your existing data systems, and how it functions to provide detailed context for being able to gain insight into all of your data processes. How do you structure the log events and metadata to provide detail and context for data applications?

Machine Learning 100

Machine Learning Systems Data Lake Metadata 100

Christophe Blefari

DECEMBER 9, 2022

It happens for instance when you have 2 producers of the same event but they are not using the same type for a column. Using server sent events to simplify real-time streaming at scale — Interesting discussion about concepts around real-time communication for apps. in Terraform) but for data. pre-seed round.

SQL 130

SQL Data Data Science Metadata 130

DataKitchen

OCTOBER 20, 2023

The Challenge: High Stakes in the Age of Personalized Data Observability The primary challenge stems from the requirement of Data Consumers for personalized monitoring and alerts based on their unique data processing needs. ’ It assigns unique identifiers to each data item—referred to as ‘payloads’—related to each event.

Insurance 70

Insurance Pharmaceutical Data Data Ingestion 70

Confluent

MARCH 26, 2019

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. This enables choreographed service collaborations, where many components can subscribe to events stored in the event log and react to them asynchronously. Let’s imagine a “Hello, World!”

Kafka 111

Kafka Transportation Metadata Consulting 111

Confluent

AUGUST 29, 2019

Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. So we can improve a portion of just about any event streaming application by adding graph abilities to it. You can use this as an example of how to add graph abilities to any event streaming application. Here we go!

Kafka 55

Kafka Process Algorithm Cloud 55

Cloudera

MARCH 14, 2023

Allows them to iteratively develop processing logic and test with as little overhead as possible. Plays nice with existing CI/CD processes to promote a data pipeline to production. Connections allow you to list their content and explore all the queued up events and their attributes.

Data Pipeline 82

Data Pipeline Designing Kafka Metadata 82

Cloudera

AUGUST 10, 2021

We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers. . The Atlas – Kafka integration is provided by the Atlas Hook that collects metadata from Kafka and stores it in Atlas.

Cloud 97

Cloud Kafka Metadata SQL 97

François Nguyen

MARCH 22, 2021

We want interoperability for any data stored versus we have to think how to store the data in a specific node to optimize the processing. ” He/She is managing triggers, he/she needs to check conditions (event type ? TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality.

Architecture 130

Architecture Technology Google Cloud Metadata 130

Monte Carlo

MAY 18, 2023

Data lineage tools help you uncover and map the complex relationships between data elements across various sources, systems, and processes. No-code Editor : It’s possible to augment the lineage captured from machine metadata with a drag and drop no-code editor. You may even already have access to one of them.

Metadata 64

Metadata Data Lake Government Data Governance 64

Data Engineering Podcast

MAY 22, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. What is the process for setting up a Flyte deployment? Data orchestration engines are a natural point for generating and taking advantage of rich metadata.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

LinkedIn Engineering

DECEMBER 12, 2023

Less stringent privacy baselines have been proposed in the literature, such as event-level privacy which would consider the privacy of each new view in our setting. This metadata is determined as part of an onboarding process with each new application where we determine which algorithms should be used for each type of query.

Algorithm 77

Algorithm Metadata SQL Datasets 77

Data Engineering Podcast

FEBRUARY 20, 2022

He also explains how he has architected the systems that ingest, process, and distribute the data that he is responsible for and the requirements that are introduced when collaborating with researchers, domain experts, and machine learning developers. You can observe your pipelines with built in metadata search and column level lineage.

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100

Engineering at Meta

AUGUST 29, 2023

Users with such notebooks would have to remember to manually run their notebooks at the required cadence – a process people might forget because it does not scale with the number of notebooks used. In the event that the notebook execution fails for whatever reason, the schedule owner is automatically notified.

SQL 80

SQL Metadata Coding Data Analysis 80

Netflix Tech

SEPTEMBER 28, 2021

Metadata Driven : Plugin modules are defined from a configuration which could be injected at any point in the application lifecycle. The sequence of events in order to accomplish the above rendering process would be handled by three components?—?our Next, the framework will dispatch events as they flow through the application.

Building 96

Building Metadata Designing Coding 96

Cloudera

DECEMBER 9, 2022

This allows developers to make changes to their processing logic on the fly while running some test data through their flow and validating that their changes work as intended. Once you have retrieved the data, NiFi stores it in a queue, which allows you to explore the content and metadata attributes of the events.

Designing 97

Designing Coding Google Cloud AWS 97

Rockset

SEPTEMBER 26, 2023

As smart as ChatGPT appears to be, it can’t summarize current events accurately if it was last trained a year ago and not told what’s happening now. Models may need to know about events, computed metrics, and embeddings based on locality.

Metadata 64

Metadata Kafka Cloud Database 64

Rockset

APRIL 26, 2023

In part 2 we covered the differences between real-time analytics databases and stream processing. Rockset is a fully mutable database and processes updates as quickly as it processes inserts. Joins : Sometimes the process of enriching or joining streaming data with historical data is called backfilling.

Architecture 52

Architecture Transportation Data Lake Insurance 52

Netflix Tech

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. We use metaflow.Table to resolve all input shards which are distributed to Metaflow tasks which are responsible for processing terabytes of data collectively.

Systems 90

Systems Media Machine Learning Data Warehouse 90

Silectis

FEBRUARY 3, 2021

With each operation in the ETL process there is the potential that data quality issues may be introduced, so it is important for data lineage to be complete. As this process repeats itself, data lakes devolve into dreaded data swamps. Harnessing this capability, we’ve implemented metadata object lineage.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Podcast

JUNE 29, 2020

Summary We have machines that can listen to and process human speech in a variety of languages, but dealing with unstructured sounds in our environment is a much greater challenge. Go to dataengineeringpodcast.com/conferences to check out the upcoming events being offered by our partners and get registered today!

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Data Engineering Podcast

APRIL 5, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. What makes Atlan stand out from other systems for data cataloguing, metadata management, or data governance? What components of the data stack might Atlan replace?

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100