Data Engineering Podcast

NOVEMBER 6, 2022

He also describes the considerations involved in bringing behavioral data into your systems, and the ways that he and the rest of the Snowplow team are working to make that an easy addition to your platforms. Atlan is the metadata hub for your data ecosystem. What are some of the unique characteristics of that information?

Building 130

Building IT Metadata MongoDB 130

Towards Data Science

MARCH 5, 2024

The storage system is using Capacitor, a proprietary columnar storage format by Google for semi-structured data and the file system underneath is Colossus, the distributed file system by Google. depending on location) BigQuery maintains a lot of valuable metadata about tables, columns and partitions. in europe-west3.

Bytes 67

Bytes Google Cloud Cloud Storage Utilities 67

Data Engineering Podcast

FEBRUARY 26, 2023

What are the technical systems that you are relying on to power the different data domains? What is your philosophy on enforcing uniformity in technical systems vs. relying on interface definitions as the unit of consistency? What are the technical systems that you are relying on to power the different data domains?

Building 147

Building Machine Learning Metadata Data Integration 147

Cloudera

NOVEMBER 13, 2020

The commonly-accepted best practice in database system design for years is to use an exhaustive search strategy to consider all the possible variations of specific database operations in a query plan. Metadata Caching. See the performance results below for an example of how metadata caching helps reduce latency.

Metadata 144

Metadata Coding SQL Database 144

Tweag

NOVEMBER 1, 2023

The last important remaining piece to explore is the merge system. In this post, we’ll see how to use the Nickel merge system to write reusable configuration modules, and why the merge approach seems to be more adapted for modular configurations than plain functions, despite Nickel being a functional language. s t r i n g.

Metadata 113

Metadata Programming Programming Language Coding 113

Data Engineering Podcast

MARCH 27, 2022

You have full control over your data and their plugin system lets you integrate with all of your other data tools, including data warehouses and SaaS platforms. What is your working definition of "data governance" and how does that influence your product focus and priorities?

Data Governance 130

Data Governance Government Cloud Building 130

Cloudera

MARCH 9, 2021

While Cloudera Data Platform (CDP) already supports the entire data lifecycle from ‘Edge to AI’, we at Cloudera are fully aware that enterprises have more systems outside of CDP. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets.

Data Governance 101

Data Governance Government Metadata Datasets 101

Knowledge Hut

MAY 26, 2024

Kubernetes is a system for managing and orchestrating containerized applications across a cluster of nodes. The system is designed to simplify life cycle management, allowing developers to focus on their application code rather than infrastructure maintenance. It was designed by Google to manage and schedule containers at scale.

Metadata 52

Metadata Certification Accessible Accessibility 52

Data Engineering Podcast

JULY 24, 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. How have the definitions shifted over the past few decades? Atlan is the metadata hub for your data ecosystem.

Data Engineering 100

Data Engineering Data Engineer Lambda Architecture Engineering 100

Data Engineering Podcast

MAY 22, 2022

Get started with Kyligence today at dataengineeringpodcast.com/kyligence Your host is Tobias Macey and today I’m interviewing Ketan Umare and Haytham Abuelfutuh about Flyte, the open source and kubernetes-native orchestration engine for your data systems Interview Introduction How did you get involved in the area of data management?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Maxime Beauchemin

JANUARY 20, 2017

This discipline also integrates specialization around the operation of so called “big data” distributed systems, along with concepts around the extended Hadoop ecosystem, stream processing, and in computation at scale. Those systems have been taught to normalize the data for storage on their own.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Christophe Blefari

JANUARY 20, 2024

Every company out there has his own definition for the data engineer role. What is data engineering As I said it before data engineering is still a young discipline with many different definitions. Reddit r/dataengineering wiki a place where some data eng definitions are written. Who are the data engineers? Is it really modern?

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Podcast

MAY 18, 2021

Summary Data lineage is the common thread that ties together all of your data pipelines, workflows, and systems. In order to eliminate the wasted effort of building custom integrations every time you want to combine lineage information across systems Julien Le Dem introduced the OpenLineage specification.

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

LinkedIn Engineering

APRIL 25, 2023

Here are some of the primary differences compared to the widely used architecture in the industry: The GraphQL type system used at LinkedIn is completely autogenerated. Type System Generator The GraphQL type system used at LinkedIn is autogenerated by federating individual entity schemas from the Rest.li Given that our Rest.li

Architecture 109

Architecture Metadata Java Transportation 109

Data Engineering Podcast

OCTOBER 14, 2018

Unfortunately, with no formal specification, each project works slightly different which increases the difficulty of integration across systems. This is a highly detailed and technical exploration of how a well-engineered metadata layer can improve the speed, accuracy, and utility of large scale, multi-tenant, cloud-native data platforms.

Data Lake 100

Data Lake Big Data Cloud Hadoop 100

Christophe Blefari

FEBRUARY 3, 2023

Lyft, powering millions of real-time decisions with LyftLearn Serving — Architecture of the decentralized system Lyft use to deploy and serve ml models. What's often stays is that AE is between DE and DA, so the definition is often done complementarily to other positions. In the end actually, the answer depends.

BI 130

BI Google Cloud Machine Learning SQL 130

Lyft Engineering

OCTOBER 3, 2023

Data quality is an amorphous term, with various definitions depending on the context. In Verity, we defined data quality as follows: Verity’s Definition of Data Quality The measure of how well data can be used as intended. Five aspects of data quality with the definition in italics and an example in quotes.

Big Data 86

Big Data Metadata Data Warehouse Data 86

Precisely

OCTOBER 31, 2024

With data volumes skyrocketing, and complexities increasing in variety and platforms, traditional centralized data management systems often struggle to keep up. A data fabric weaves together different data management tools, metadata, and automation to create a seamless architecture.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

Cloudera

AUGUST 16, 2021

Users shouldn’t have to build their own central monitoring system. Before you can create any NiFi deployments with CDF-PC, you have to import your existing NiFi flow definitions into the Catalog. This will create a JSON file containing the flow metadata. Figure 4: Importing a NiFi flow definition into the CDF-PC Flow Catalog.

Cloud 122

Cloud Unstructured Data Utilities Metadata 122

Cloudera

MAY 5, 2021

According to wikipedia , Gang Scheduling refers to a scheduling algorithm for parallel systems that schedules related threads or processes to run simultaneously on different processors. It mainly has 4 phases: Prepare : in this phase, YuniKorn proactively creates a certain number of placeholder pods based on the taskGroups definition.

Metadata 136

Metadata Algorithm Big Data Machine Learning 136

Netflix Tech

JULY 30, 2019

Adoption As of writing this blog, Conductor orchestrates 600+ workflow definitions owned by 50+ teams across Netflix. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore.

Metadata 76

Metadata Media AWS Transportation 76

Data Engineering Weekly

JULY 7, 2024

[link] Jack Vanlightly: Understanding Apache Paimon's Consistency Model Part 1 Table formats are definitely a hot topic in the industry now. The author highlights Paimon’s consistency model by examining the metadata model. Canva writes about the evolution of experimentation system design and the current state of the function.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Data Engineering Podcast

JANUARY 7, 2022

In this episode Metaplane founder Kevin Hu shares his working definition of the term and explains the work that he and his team are doing to cut down on the time to adoption for this new set of practices. This is a great exploration of what it means to treat your data platform as a living system and apply state of the art engineering to it.

BI 100

BI Data Warehouse Metadata SQL 100

François Nguyen

MARCH 7, 2021

In this article, Juan Sequada gives maybe one of the best definition of Data Mesh ” It is paradigm shift towards a distributed architecture that attempts to find an ideal balance between centralization and decentralization of metadata and data management.”

Government 130

Government Data Governance Data Metadata 130

Netflix Tech

JULY 22, 2024

A workflow definition is defined in a JSON format. Maestro combines user-supplied fields with those managed by Maestro to form a flexible and powerful orchestration definition. A Maestro workflow definition comprises two main sections: properties and versioned workflow including its metadata.

Machine Learning 104

Machine Learning Coding Data Pipeline Java 104

Netflix Tech

SEPTEMBER 18, 2024

message Item ( Bytes key, Bytes value, Metadata metadata, Integer chunk ) Database Agnostic Abstraction The KV abstraction is designed to hide the implementation details of the underlying database, offering a consistent interface to application developers regardless of the optimal storage system for that use case.

Bytes 101

Bytes Metadata Database Data 101

ThoughtSpot

JUNE 28, 2023

Fine-grained personal access token that allows Read access to metadata and Read and Write access to code and commit statuses. Applying analytics-as-code principles, we initially developed a scriptable approach with TML to automate the lifecycle management of analytic content across environments. vcs/git/config/create REST API v2.0

Metadata 97

Metadata Accessible Accessibility Coding 97

Marc Lamberti

SEPTEMBER 22, 2023

Digging into the official definition, you will see that Airflow is noted as an open-source platform that programmatically authors, schedules, and monitors workflows. Starting with just a few tasks to thousands of tasks thanks to the support of various systems such as Dasks, Kubernetes, or Celery. ” What is Apache Airflow?

Data Pipeline 130

Data Pipeline Python Metadata Database 130

Netflix Tech

MARCH 25, 2019

You are designing a learning system to forecast Service Level Agreement (SLA) violations and would want to factor in all upstream dependencies and corresponding historical states. Nonetheless, Netflix data landscape (see below) is complex and many teams collaborate effectively for sharing the responsibility of our data system management.

Building 90

Building Metadata Transportation Data Ingestion 90

Knowledge Hut

MARCH 7, 2024

Syncing Across Data Sources Once you import data into Big Data platforms you may also realize that data copies migrated from a wide range of sources on different rates and schedules can rapidly get out of the synchronization with the originating system. Two, it creates a commonality of data definitions, concepts, metadata and the like.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Netflix Tech

JANUARY 10, 2024

Since then, the video pipeline has undergone substantial improvements and broad expansions: Starting with Standard Dynamic Range (SDR) at Standard-Definitions , we expanded the encoding pipeline to 4K and High Dynamic Range (HDR) which enabled support for our premium offering. This introductory blog focuses on an overview of our journey.

Process 96

Process Pipeline-centric Media Metadata 96

Netflix Tech

DECEMBER 14, 2018

In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve. key value stores generally allow storing any data under a key).

Media 97

Media Database Metadata Data Schemas 97

Knowledge Hut

APRIL 25, 2024

Intrusion detection systems (IDS) are designed to identify suspicious and malicious activity through network traffic. So, let's get to know the meaning of an intrusion detection system and how it works. What Is a n Intrusion Detection System? Why Are Intrusion Detection Systems Important? and how it works.

Systems 52

Systems Recruitment Machine Learning Certification 52

LinkedIn Engineering

JUNE 26, 2023

However, we've found that this vertical self-service model doesn't work particularly well for data pipelines, which involve wiring together many different systems into end-to-end data flows. For example, Pinot ingestion by default expects records to be flat, with field names and types that are compatible with the Pinot table definition.

Data Pipeline 112

Data Pipeline Kafka SQL MySQL 112

Cloudera

MARCH 14, 2023

For example, a developer may be asked to tap into the data of a newly acquired application, parsing and transforming it before delivering it to the business’s favorite analytical system where it can be joined with existing data sets. Attributes contain key metadata like the source directory of a file or the source topic of a Kafka message.

Data Pipeline 90

Data Pipeline Designing Kafka Metadata 90

Airbnb Tech

NOVEMBER 28, 2023

We identified the following objectives for the score: Evolve our understanding of data quality beyond a simple binary definition (certified vs uncertified). Luckily, we had two existing tools that would make this much easier: Dataportal (Airbnb’s data catalog and exploration UI), and the Unified Metadata Service (UMS).

Data Warehouse 98

Data Warehouse Metadata Data Certification 98

Snowflake

JUNE 5, 2024

Governed internal collaboration with better discoverability and AI-powered object metadata The Internal Marketplace (private preview) introduces a new way for customers to boost secure collaboration, through a single directory of all data products specifically curated for use within an organization.

Government 105

Government Accessible Accessibility Cloud 105