Ascend.io

JULY 11, 2024

Metadata is the information that provides context and meaning to data, ensuring it’s easily discoverable, organized, and actionable. This is what managing data without metadata feels like. This is what managing data without metadata feels like. Effective metadata management is no longer a luxury—it’s a necessity.

Metadata 52

Metadata IT Government High Quality Data 52

Data Engineering Podcast

NOVEMBER 6, 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 are some of the tactical aspects of deciding what interfaces to use for generating interaction events?

Building 130

Building IT Metadata MongoDB 130

Netflix Tech

NOVEMBER 14, 2023

Using fixed lookback windows to always reprocess data, assuming that most late-arriving events will occur within that window. Add alerts to flag when late arriving data appears, block the pipelines, and perform a manual intervention where we triggered backfill pipelines to handle the missed events. Some techniques we used were: 1.

Data Engineering 109

Data Engineering Data Engineer Engineering Metadata 109

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. It also included metadata about ads, such as ad placement and impression-tracking events. We stored these responses in a Keystone stream with outputs for Kafka and Elasticsearch.

Algorithm 140

Algorithm Metadata Kafka Systems 140

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 163

Metadata Engineering Building Technology 163

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. So our solution was to start using an intentional contract: Events. What are Events? Events are facts about what happened within your service.

Kafka 52

Kafka ETL Tools BI Database 52

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

Cloudyard

JULY 16, 2023

Read Time: 2 Minute, 13 Second During the last post we discussed about the Event tables and how these are used for Error logging in your process. The UDTF was responsible of parsing JSON data in a tabular format and identify any erroneous records and log into an Event table. Event tables.

Metadata 52

Metadata Python Utilities Coding 52

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!

Architecture 147

Architecture Data Lake High Quality Data SQL 147

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 98

Management Kafka Metadata Media 98

Data Engineering Podcast

JUNE 17, 2023

Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. What is the importance of embedding column-level lineage awareness into transformation tool vs. layering on top w/ dedicated lineage/metadata tooling?

Data Lake 130

Data Lake Machine Learning Metadata Data Architecture 130

Data Engineering Podcast

MARCH 5, 2023

What are the most interesting, unexpected, or challenging lessons that you have learned while working on selecting presentations for this year's event? What do you have planned for the future of this topic at Data Council events? What do you have planned for the future of this topic at Data Council events?

Building 147

Building Database Design Machine Learning Metadata 147

Netflix Tech

NOVEMBER 14, 2023

Stateless Data Processing : As the name suggests, one should use this pattern in scenarios where the columns in the target table solely depend on the content of the incoming events, irrespective of their order of occurrence. A missed event in such a scenario would result in incorrect analysis due to a wrong derived state.

Data Process 94

Data Process Process Metadata Finance 94

François Nguyen

MARCH 22, 2021

Data & Metadata : the data of the data product in many possible storages if needed but also the metadata (data on data) Infrastructure : you will need compute & storage but with the Serverless philisophy, we want to make it totally transparent and stay focus on the first two dimensions. What you have to code is this workflow !

Technology 130

Technology Architecture Google Cloud Metadata 130

Cloudera

NOVEMBER 13, 2020

Metadata Caching. This is used to provide very low latency access to table metadata and file locations in order to avoid making expensive remote RPCs to services like the Hive Metastore (HMS) or the HDFS Name Node, which can be busy with JVM garbage collection or handling requests for other high latency batch workloads.

Metadata 144

Metadata Coding SQL Database 144

Data Engineering Podcast

SEPTEMBER 17, 2023

Linked data technologies provide a means of tightly coupling metadata with raw information. what are the characteristics that distinguish a knowledge graph from What are the layers/stages of applications and data that can/should incorporate JSON-LD as the representation for records and events?

Building 189

Building SQL BI Python 189

Data Engineering Podcast

DECEMBER 16, 2019

The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform. The metadata repository serves as a data catalog and a means of reporting on the health and status of your datasets when it is properly integrated into the rest of your tools.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

Cloudera

APRIL 18, 2024

Here are a couple of the biggest takeaways we had from our time at the event. In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular.

Metadata 115

Metadata Government Data Governance Data 115

Knowledge Hut

JUNE 4, 2024

If you've always wanted to learn how to use event binding in Angular, you've come to the right place. This article will discuss Angular's event binding and how to apply it to our Angular project. Events are triggered after these actions are completed. How Does Event Binding Works in Angular ?

Metadata 52

Metadata Coding Project Python 52

Maxime Beauchemin

JANUARY 7, 2018

When functions are “pure” — meaning they do not have side-effects — they can be written, tested, reasoned-about and debugged in isolation, without the need to understand external context or history of events surrounding its execution. Knowing when events were reported in relation to when they occurred is useful.

Data Engineering 183

Data Engineering Data Engineer Data Process Process 183

Data Engineering Podcast

MARCH 18, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Join in with the event for the global data community, Data Council Austin. Don't miss out on their only event this year! Data Council Logo]([link] Join us at the event for the global data community, Data Council Austin.

Data Security 130

Data Security Machine Learning Data Science Metadata 130

Data Engineering Podcast

MARCH 27, 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. Acryl]([link] The modern data stack needs a reimagined metadata management platform. Acryl]([link] The modern data stack needs a reimagined metadata management platform.

Data Governance 130

Data Governance Government Cloud Building 130

Netflix Tech

NOVEMBER 14, 2023

Input : List of source tables and required processing mode Output : Psyberg identifies new events that have occurred since the last high watermark (HWM) and records them in the session metadata table. The session metadata table can then be read to determine the pipeline input. Audit Run various quality checks on the staged data.

Metadata 102

Metadata Data Pipeline Scala Data Workflow 102

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

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 96

Bytes Datasets Metadata Data 96

Maxime Beauchemin

JANUARY 20, 2017

Data engineers are also the “librarians” of the data warehouse, cataloging and organizing metadata, defining the processes by which one files or extract data from the warehouse. In a fast growing, rapidly evolving, slightly chaotic data ecosystem, metadata management and tooling become a vital component of a modern data platform.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Netflix Tech

NOVEMBER 28, 2018

Today, we would like to share two additional layers of security: API enforcement and metadata protection. Protecting the EC2 Metadata service so that credentials cannot be retrieved via a vulnerability in an application such as Server Side Request Forgery ( SSRF ).

AWS 99

AWS Metadata Amazon Web Services Cloud 99

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

Data Engineering Podcast

MAY 18, 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 is the current state of the ecosystem for generating and sharing metadata between systems? What are your goals for the OpenLineage effort?

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

Confluent

AUGUST 1, 2019

We defined the following requirements for the new shared state microservices that would be built: A uniform way to consume events, construct shared state (using varying algorithms), and generate shared state events. We used it to persist metadata about each scheduled task (interval, task fully-qualified class name, key, etc.),

Kafka 20

Kafka Systems Building Metadata 20

Confluent

MAY 7, 2019

Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. There is no way that one computer node will ever be able to ingest and process all the events that get generated in real time.

Kafka 111

Kafka Accessible Accessibility Metadata 111

Cloudera

AUGUST 10, 2021

Atlas / Kafka integration provides metadata collection for Kafa producers/consumers so that consumers can manage, govern, and monitor Kafka metadata and metadata lineage in the Atlas UI. The Atlas – Kafka integration is provided by the Atlas Hook that collects metadata from Kafka and stores it in Atlas.

Cloud 98

Cloud Kafka Metadata SQL 98

Data Engineering Podcast

AUGUST 21, 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. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show!

Metadata 100

Metadata MongoDB MySQL Data Lake 100

Confluent

APRIL 11, 2019

And no one likes missing events. Kafka clients and the S3 SDK libraries should be all you need to get events from Kafka to S3. What I like about this stream of events is that, although it is described in a simple JSON format, it contains rich information such as location, user interests and timestamps with every record.

Kafka 110

Kafka AWS Metadata Architecture 110

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. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show!

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

Data Engineering Weekly

MAY 16, 2023

Like the staging environment, Fronting Kafka receives all the events without validation. A streaming consumer, often implemented in stream processing frameworks like Flink or Spark, consumes the events from the fronting Kafka and runs through data contract validation. Event Routers typically don’t alter the payload.

Engineering 112

Engineering Kafka Data Pipeline Data Warehouse 112