Netflix Tech

NOVEMBER 14, 2023

Now, let’s explore the state of our pipelines after incorporating Psyberg. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. The session metadata table can then be read to determine the pipeline input.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

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. Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc.,

Building 130

Building IT Metadata MongoDB 130

Ascend.io

APRIL 22, 2024

This initiative is more than just an upgrade; it’s a reimagining of what a Data Automation Platform can be: dynamic, extensible, and highly intelligent. A unified platform that combines a powerful metadata core, an extensible plugin architecture, DataAware automation, and multiple AI Assistants.

Project 52

Project Metadata Data Pipeline Data Engineering 52

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 94

Management Kafka Metadata Media 94

Data Engineering Weekly

MAY 16, 2023

I won’t bore you with the importance of data quality in the blog. Instead, Let’s examine the current data pipeline architecture and ask why data quality is expensive. Instead of looking at the implementation of the data quality frameworks, Let's examine the architectural patterns of the data pipeline.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

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 90

Data Process Process Metadata Finance 90

Data Engineering Podcast

OCTOBER 2, 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. Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc.,

Metadata 100

Metadata Electronics MongoDB MySQL 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. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

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. Last part, it was added the data security and privacy part. Every data governance policy about this topic must be read by a code to act in your data platform (access management, masking, etc.)

Data Governance 130

Data Governance Metadata Government Data Pipeline 130

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. RudderStack helps you build a customer data platform on your warehouse or data lake.

Metadata 100

Metadata MongoDB MySQL Data Lake 100

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. 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 ?

Architecture 130

Architecture Technology Google Cloud Metadata 130

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. RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

Data Engineering Podcast

SEPTEMBER 4, 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. RudderStack helps you build a customer data platform on your warehouse or data lake.

IT 100

IT Metadata MongoDB MySQL 100

Workfall

JUNE 12, 2023

Moreover, it facilitates the implementation of microservices architectures and event-driven systems, automating reactions to data changes without manual intervention. In real-time data streaming and event-driven architectures, CDC captures data changes to trigger actions or workflows.

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Data Engineering Podcast

FEBRUARY 20, 2022

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. You can observe your pipelines with built in metadata search and column level lineage.

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100

Data Engineering Podcast

JANUARY 23, 2022

Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud. Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow. You can observe your pipelines with built in metadata search and column level lineage.

Building 100

Building Management Data Pipeline Metadata 100

Data Engineering Podcast

JULY 5, 2021

Summary At the core of every data pipeline is an workflow manager (or several). Deploying, managing, and scaling that orchestration can consume a large fraction of a data team’s energy so it is important to pick something that provides the power and flexibility that you need.

Systems 100

Systems Management Data Warehouse Programming Language 100

Data Engineering Podcast

MARCH 22, 2021

Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days. RudderStack’s smart customer data pipeline is warehouse-first.

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Data Engineering Podcast

DECEMBER 16, 2019

Summary Building clean datasets with reliable and reproducible ingestion pipelines is completely useless if it’s not possible to find them and understand their provenance. The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

DataKitchen

OCTOBER 20, 2023

The Solution: ‘Payload’ Data Journeys Traditional Data Observability usually focuses on a ‘process journey,’ tracking the performance and status of data pipelines. ’ It assigns unique identifiers to each data item—referred to as ‘payloads’—related to each event.

Insurance 70

Insurance Pharmaceutical Data Data Ingestion 70

Data Engineering Podcast

MAY 22, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Sign up free… or just get the free t-shirt for being a listener of the Data Engineering Podcast at dataengineeringpodcast.com/rudder.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Netflix Tech

SEPTEMBER 29, 2022

years, its usage has increased, and Timestone is now also the priority queueing engine backing Conductor , our general-purpose workflow orchestration engine, and BDP Scheduler , the scheduler for large-scale data pipelines. messages that belong to queue X and have metadata Y”) is also supported. Over the past 2.5

Systems 85

Systems Metadata Media Kafka 85

Data Engineering Podcast

MAY 3, 2021

They explain how to think about your data systems in a holistic and maintainable fashion, the security challenges that threaten to derail your efforts, and the power of using metadata as the foundation of everything that you do. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Data Engineering Podcast

APRIL 5, 2021

Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days. RudderStack’s smart customer data pipeline is warehouse-first.

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. For example, grouping the ones about metadata, discoverability, and column naming might have made a lot of sense.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Data Engineering Podcast

OCTOBER 28, 2019

This week’s episode is also sponsored by Datacoral, an AWS-native, serverless, data infrastructure that installs in your VPC. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! For someone who wants to get started with Dagster can you describe a typical workflow for writing a data pipeline?

Building 100

Building Data Pipeline Programming Language Metadata 100

Data Engineering Podcast

JUNE 8, 2021

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. RudderStack’s smart customer data pipeline is warehouse-first.

Data Warehouse 100

Data Warehouse Hadoop Metadata Architecture 100

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

Monte Carlo

MAY 18, 2023

Another consideration for these tools are the integration points across the data pipeline. A question to ask is how will these data lineage source solutions account for dbt models, Fivetran connectors, and their relationship to tables? Rather it’s an open standard for metadata and data lineage collection.

Metadata 64

Metadata Data Lake Government Data Governance 64

Data Engineering Podcast

JULY 28, 2019

Rather than manually defining all of the mappings ahead of time, we can rely on the power of graph databases and some strategic metadata to allow connections to occur as the data becomes available. If you are struggling to maintain a tangle of data pipelines then you might find some new ideas for reducing your workload.

Data Integration 100

Data Integration Metadata Media Architecture 100

Data Engineering Podcast

AUGUST 6, 2022

Data stacks are becoming more and more complex. This brings infinite possibilities for data pipelines to break and a host of other issues, severely deteriorating the quality of the data and causing teams to lose trust. What are some of the data management considerations that are introduced by vector databases?

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

OCTOBER 14, 2019

Dataform is a platform that helps you apply engineering principles to your data transformations and table definitions, including unit testing SQL scripts, defining repeatable pipelines, and adding metadata to your warehouse to improve your team’s communication. This week’s episode is also sponsored by Datacoral.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance.

Metadata 130

Metadata MongoDB Scala MySQL 130

Netflix Tech

MARCH 7, 2024

Once we have discovered the Parquet files to be processed, MetaflowDataFrame takes over: it downloads data using Metaflow’s high-throughput S3 client directly to the process’ memory, which often outperforms reading of local files. Explainer flow is event-triggered by an upstream flow, such Model A, B, C flows in the illustration.

Systems 90

Systems Media Machine Learning Data Warehouse 90

ProjectPro

FEBRUARY 16, 2023

AWS Glue has a central metadata repository called the Glue catalog. This ETL engine produces the Scala or Python code for the ETL process and features for ETL jobs monitoring, scheduling, and metadata management. To create a Data Catalog, you need to specify the data stores you want to use and the data format for each store.

AWS 52

AWS Data Management ETL Tools Management 52

Data Engineering Weekly

OCTOBER 23, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Does Data Catalogs live up to the promise?

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Striim

JANUARY 4, 2023

A data contract is a formal agreement between the users of a source system and the data engineering team that is extracting data for a data pipeline. This data is loaded into a data repository — such as a data warehouse — where it can be transformed for end users. temperature).

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52