Edureka

MAY 6, 2024

However, building and deploying these models is just the beginning. It involves collaboration between data scientists, ML engineers, and IT professionals to automate and optimize the end-to-end process of building, deploying, and maintaining machine learning applications. This old process was slow and could lead to mistakes.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 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

Netflix Tech

JUNE 1, 2023

To do this, we devised a novel way to simulate the projected traffic weeks ahead of launch by building upon the traffic migration framework described here. 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.

Algorithm 136

Algorithm Metadata Kafka Systems 136

Workfall

JUNE 12, 2023

In this blog, we will cover: What Is CDC and Its Benefits? CDC also plays a crucial role in data integration and ETL processes. It enables automation in business processes, event-driven applications, and microservices, reacting to data changes in near real-time. Where Is CDC Used and Who Uses It?

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Snowflake

APRIL 29, 2024

DORA: Building a More Secure Financial System DORA, enacted in January 2023, moves beyond reactive measures, requiring FEs and their service providers to proactively identify vulnerabilities, prevent disruptions and plan for swift recovery from incidents. Five Core Pillars of DORA 1.

Transportation 83

Transportation Data Governance Government Consulting 83

Christophe Blefari

JANUARY 20, 2024

The idea behind is to solve data problem by building software. batch — Batch processing is at the core of data engineering. stream — Stream processing can be seen as the evolution of the batch. Every company out there has his own definition for the data engineer role. On a regular schedule. This is not.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Pinterest Engineering

NOVEMBER 7, 2023

For these reasons, and others detailed in our original PubSub Client blog post , our team has decided to invest in building, productionalizing, and most recently open-sourcing PubSub Client (PSC). years since our previous blog post, PSC has been battle-tested at large scale in Pinterest with notably positive feedback and results.

Kafka 99

Kafka Java Software Engineer Software Engineering 99

Data Engineering Weekly

MARCH 10, 2024

Google: Croissant- a metadata format for ML-ready datasets Google Research introduced Croissant, a new metadata format designed to make datasets ML-ready by standardizing the format, facilitating easier use in machine learning projects. Data engineers build the systems that store and process sensitive information.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Netflix Tech

MARCH 5, 2019

This operational component places some cognitive load on our engineers, requiring them to develop deep understanding of telemetry and alerting systems, capacity provisioning process, security and reliability best practices, and a vast amount of informal knowledge about the cloud infrastructure.

Cloud 73

Cloud Building Amazon Web Services Metadata 73

Data Engineering Weekly

MAY 16, 2023

I won’t bore you with the importance of data quality in the blog. 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. Two-Phase WAP The Two-Phase WAP, as the name suggests, follows two copy processes.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Datasets 89

Datasets Metadata Algorithm Architecture 89

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Extending Atlas’ metadata model. Processes: File transfer process. ETL/DB Load process. HIVE Table.

Data Governance 93

Data Governance Government Metadata Datasets 93

Cloudera

MARCH 14, 2023

In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Data Pipeline 81

Data Pipeline Designing Kafka Metadata 81

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. This metadata includes the namespace, file permissions, and the mapping of data blocks to datanodes.

Big Data 92

Big Data Hadoop Metadata Data 92

Workfall

AUGUST 23, 2023

Inside this directory, we’ll create a file named ‘manifest.json’ This file will play a crucial role in defining the metadata, permissions, and settings for our extension. These components will serve as the building blocks of our extension’s functionality. appeared first on The Workfall Blog.

Metadata 83

Metadata Coding Project Utilities 83

Netflix Tech

MAY 4, 2023

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. This blog post will provide a detailed analysis of replay traffic testing, a versatile technique we have applied in the preliminary validation phase for multiple migration initiatives.

Utilities 135

Utilities Systems Architecture Coding 135

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. Responsibilities A data scientist is responsible for identifying data sources, preprocessing data, building predictive models, and analyzing data systems for optimization.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Lyft Engineering

OCTOBER 3, 2023

Finally, as the subject of this blog post, we can assess data quality via batch compute analytics on our data warehouse, providing a comprehensive albeit slower evaluation compared to the previously mentioned methods. These flow through Kafka , our event streaming platform, before being processed by Flink , our streaming compute framework.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Cloudera

AUGUST 26, 2021

In this blog post, we will ingest a real world dataset into Ozone, create a Hive table on top of it and analyze the data to study the correlation between new vaccinations and new cases per country using a Spark ML Jupyter notebook in CML. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 109

Data Science Cloud Hadoop Metadata 109

phData: Data Engineering

DECEMBER 16, 2021

If you missed our first blog on what a data catalog is , be sure to check it out! In this blog, we’ll explore what the ideal team to support your data catalog looks like. The Business Steward will be most familiar with the business drivers mentioned in the first blog in this series. How will Human-Driven Metadata be Captured?

Metadata 52

Metadata Datasets Data Education 52

Databand.ai

AUGUST 30, 2023

It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Workfall

AUGUST 14, 2023

Two powerful tools that have emerged to simplify the management of data pipelines are DBT (Data Build Tool) and Airflow. In this blog, we will explore the benefits of using DBT and Airflow together and how they make data pipeline management easier than ever before. What is Airflow?

Data Pipeline 62

Data Pipeline Raw Data Data Database 62

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. Can you start by describing what you are building at Audio Analytic? What was your motivation for building an AI platform for sound recognition?

Data Collection 100

Data Collection Management High Quality Data Metadata 100

AltexSoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. The daily tasks of a data architect require more of a strategic thinking, while a data engineer’s workload is more about building the software infrastructure, which are technical tasks.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Picnic Engineering

JUNE 27, 2022

without having to re-design the entire deployment process. Picking the (sweetest) cherry With all these capabilities, I am sure you can think of a ton of potential improvements in your current process, or maybe you want to address a particular pain point. All our metadata is version controlled and we wanted to continue in this way.

Metadata 52

Metadata Project Technology Process 52

Data Engineering Weekly

FEBRUARY 18, 2024

Modern data stack vendors chose speed, and never attempted to truly build something together. link] Mikkel Dengsøe: Data ownership - A practical guide Data Ownership is the fundamental construct to build reliable data engineering practices. I believe the data ownership problem is much deeper than simple metadata management.

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Confluent

MARCH 26, 2019

how long it takes to execute an operation) and additional metadata like annotations and tags. For the translation service to correlate its spans with the caller service traces, it receives tracing metadata via context propagation (i.e., reading metadata injected into HTTP headers). Let’s imagine a “Hello, World!”

Kafka 111

Kafka Transportation Metadata Consulting 111

Data Engineering Podcast

AUGUST 5, 2019

Lyft has build the Amundsen platform to address the problem of data discovery and in this episode Tao Feng and Mark Grover explain how it works, why they built it, and how it has impacted the workflow of data professionals in their organization. How does it compare to what WeWork is building with Marquez?

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

Cloudera

MARCH 22, 2023

SDX continually captures and manages both the active and passive metadata for data assets and the processes that work on them. Data services and workloads cover ingesting data, enriching it, making it available for analysis in (operational) dashboards, or using it to build AI and machine learning models.

Data Governance 85

Data Governance Government Business Analyst Metadata 85

Cloudera

SEPTEMBER 29, 2022

It is a set of rubrics around people, process, and technology choices that allow for companies to scale their data systems. . The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. Data mesh is about people, process, and technology. Data mesh defined.

Architecture 73

Architecture Data Architecture Metadata Data Warehouse 73

DataKitchen

AUGUST 9, 2021

The data mesh is focused on building trust in data and promoting the use of data by business users who can benefit from it. The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., …. Figure 1: Looking inside a data mesh domain.

Pharmaceutical 98

Pharmaceutical Raw Data Data Lake Data 98

Netflix Tech

OCTOBER 27, 2023

This blog post shows how to connect the dots from the worst case scenario (a kernel panic) through to Kubernetes (k8s) and eventually up to us operators so that we can track how and why our k8s nodes are going away. Once that happens a GC process deletes the pod. No need to wait for any GC process. Where are they going, exactly?

Metadata 91

Metadata Cloud Coding Engineering 91

Snowflake

NOVEMBER 30, 2023

In this blog post, we’ll take a closer look at the details that can help decision-makers successfully plan and execute an optimal lift-and-shift cloud data migration strategy for their business. Here’s what the four-step migration process looks like with TCS Data Migrator Tool: Extract data using native extractors for the legacy platform.

Data Warehouse 98

Data Warehouse Banking Data Cloud 98

Cloudera

DECEMBER 9, 2022

Now, we shift focus on the needs of developers and addressing the challenges they face when building dataflows in the cloud. We’ve observed organizations using more and more data sources and destinations , as well as expecting a more diverse range of developers to build data movement flows. Enabling self-service for developers.

Designing 96

Designing Coding Google Cloud AWS 96

Confluent

AUGUST 29, 2019

Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. All of the code and setup discussed in this blog post can be found in this GitHub repository , so you can try it yourself! Meanwhile, in Kafka, the data shows up as we expect but with some extra metadata published by the producer.

Kafka 55

Kafka Process Algorithm Cloud 55

Netflix Tech

DECEMBER 8, 2021

We knew that given our scale, we needed to rely heavily on automations and that we needed to build our solutions using battle tested scalable infrastructure. We currently process tens of millions of log records every minute and analyze these events to perform in-house custom detections.

AWS 78

AWS Metadata Cloud Utilities 78

phData: Data Engineering

DECEMBER 16, 2021

In our previous blog in this series , we spent a lot of time exploring why a data catalog is valuable and who you might need to support it. Where is your metadata stored? This feature will help build lineage and will let you see any current usage patterns. What Things Should I Consider Before Choosing a Data Catalog Tool?

Metadata 52

Metadata Datasets ETL Tools Cloud 52