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. Why do we need MLOPS? Why do we need MLOps?

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

LinkedIn Engineering

MARCH 21, 2023

That’s why we believe a skills-first approach to hiring talent will help companies gain access to wider talent pools to find the skilled workers their businesses need, especially in sectors that are aggressively looking for talent. Some highly utilized skills, such as “Cadence” or “Boundary,” include obscure or ambiguous terms.

Building 85

Building Recruitment Machine Learning Deep Learning 85

Netflix Tech

MARCH 10, 2023

Studio applications use this service to store their media assets, which then goes through an asset cycle of schema validation, versioning, access control, sharing, triggering configured workflows like inspection, proxy generation etc. This pattern grows over time when we need to access and update the existing assets metadata.

Management 94

Management Kafka Metadata Media 94

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). The data is protected but it is also accessible by the people who need it.

Government 79

Government Metadata Data Lake Data 79

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

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

Data Engineering Podcast

MARCH 22, 2021

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. How do you handle observability of CDC flows?

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Netflix Tech

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. How can we automatically provision or de-provision access privileges?

Cloud 73

Cloud Building Amazon Web Services Metadata 73

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

Cloudera

MARCH 17, 2023

ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology. Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. The post Educating ChatGPT on Data Lakehouse appeared first on Cloudera Blog.

Education 61

Education Unstructured Data Data Lake Data Warehouse 61

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

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

AltexSoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. 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. Feel free to enjoy it.

Data Architect 87

Data Architect Certification Generalist Big Data 87

LinkedIn Engineering

DECEMBER 19, 2023

Figure 3: Generalized rolling upgrade deployment flow Namenode deployment overview The namenode is the central component of HDFS and is responsible for storing the metadata information about files and directories in the HDFS cluster. This metadata includes the namespace, file permissions, and the mapping of data blocks to datanodes.

Big Data 92

Big Data Hadoop Metadata Data 92

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., …. How does one get access to a domain?

Pharmaceutical 98

Pharmaceutical Raw Data Data Lake Data 98

Cloudera

JULY 15, 2021

This blog post provides an overview of best practice for the design and deployment of clusters incorporating hardware and operating system configuration, along with guidance for networking and security as well as integration with existing enterprise infrastructure. Introduction and Rationale. Role allocation. Networking .

Architecture 97

Architecture Cloud Kafka Hadoop 97

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

dbt Developer Hub

DECEMBER 11, 2023

The Semantic Layer lets teams define business metrics centrally, in dbt, and access them in multiple analytics tools through our semantic layer APIs. This blog post walks through the end-to-end process we used to set up product analytics for the dbt Semantic Layer using the dbt Semantic Layer. The transformation step is done with dbt.

Finance 64

Finance BI SQL Cloud 64

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

DECEMBER 10, 2020

Drawing on more than a decade of experience in building and deploying massive scale data platforms on economical budgets, Cloudera has designed and delivered a cost-cutting cloud-native solution – Cloudera Data Warehouse (CDW), part of the new Cloudera Data Platform (CDP). What is Cloudera Data Warehouse (CDW)? Security is always on.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Cloudera

JUNE 7, 2022

Common security, governance, metadata, replication, and automation enable CDP to operate as an integrated system. As big data has evolved to cloud data and now to hybrid data, it has gotten more complex for businesses to access, use and create value from it. We believe that data can make what is impossible today, possible tomorrow.

IT 108

IT Unstructured Data Data Architecture Government 108

Monte Carlo

MARCH 3, 2021

After all, any solution dedicated to keeping data pipelines reliable should take its own medicine when it comes to building the actual product. We designed our product without having to store or access individual records, PII, or any other sensitive information. What’s next? Until then, here’s wishing you no data downtime!

Metadata 52

Metadata Data Lake Business Intelligence Certification 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? Go to [link] and sign in using the airflow username.

Data Pipeline 62

Data Pipeline Data Raw Data Database 62

Cloudera

JANUARY 19, 2022

We have been working hard to build our cloud-native data services on Cloudera Data Platform (CDP), which include CDP Data Warehouse, CDP Operational Database, CDP Machine Learning, CDP Data Engineering and CDP Data Flow.

Database 87

Database Cloud Data Warehouse Data Lake 87

DataKitchen

AUGUST 3, 2021

Further, the teams of specialized data engineers who build and maintain enterprise data platforms operate as a centralized unit divorced from the business units that create and consume the data. Figure 1: The organization structure builds walls and barriers to change. Data professionals are not perfectly interchangeable.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Scala 98

Data Engineering Weekly

OCTOBER 30, 2022

The author narrates the data contract, why it is the foundation for building data mesh, and how it glue data catalogs, glossary and data quality systems. I found the blog helpful in understanding the generative model’s historical development and the path forward. The current state of these systems is inherently passive systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Snowflake

MAY 8, 2023

Some of these partner solutions build upon previously mentioned approaches to analyze queries in bulk. The example below shows how a user can analyze the metadata of Snowflake’s Query History by aggregation and drill down. Snowflake maintains its commitment to customers and ongoing platform improvements.

Technology 111

Technology SQL BI Utilities 111

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. Once ingested, findings are then enriched and processed with additional metadata collected from Netflix’s internal data sources.

AWS 78

AWS Metadata Cloud Utilities 78

Cloudera

AUGUST 10, 2021

With Apache Ozone on the Cloudera Data Platform (CDP) , they can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance and lineage. or higher with Kerberos enabled and admin access to both Ranger and Atlas. Before we begin. Loading data into Ozone.

Hadoop 104

Hadoop Kafka Datasets Government 104

Cloudera

SEPTEMBER 29, 2022

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. Back in 2011, Facebook ran into a problem with building clusters big enough to hold all data. There are tons of blogs/videos etc about data mesh. The data itself is then treated as a product.

Architecture 73

Architecture Data Architecture Metadata Data Warehouse 73

Cloudera

FEBRUARY 16, 2022

SDX provides open metadata management and governance across each deployed environment by allowing organisations to catalogue, classify as well as control access to and manage all data assets. This allows data scientists, engineers and data management teams to have the right level of access to effectively perform their role.

Machine Learning 81

Machine Learning Algorithm Government Metadata 81

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Attribute-based access control and SparkSQL fine-grained access control.

Cloud 131

Cloud Kafka Professional Services Metadata 131

Netflix Tech

MARCH 22, 2021

Configuration management through Haze One of the patterns we identified across multiple teams was the need for a stable process around configuration and metadata management. Haze consumes metadata via GraphQL and JSON descriptions to facilitate and orchestrate backend microservice api calls to manage configuration data. What’s next?

Metadata 65

Metadata Portfolio Java Engineering 65

Data Engineering Weekly

NOVEMBER 6, 2022

I’m following most of the data professionals, so you can easily build your network from my following list. I plan to write a series of blogs on Schemata and Data Contract in the coming weeks. Martin kindly stepped in for me to give the update for my promised blog posts. I’m at ananth@data-folks.masto.host.

Data Engineering 40

Data Engineering Data Engineer Engineering Machine Learning 40

Maxime Beauchemin

JANUARY 20, 2017

Unlike data scientists — and inspired by our more mature parent, software engineering  — data engineers build tools, infrastructure, frameworks, and services. The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. The data is easily accessible and is easy to update. APACHE AIRFLOW This is an opensource platform that lets you build and run workflows. This was used to test our setup. x+ and set minimum memory to 5GB.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 24, 2023

It is a popular ETL tool well-suited for big data environments and extensively used by data engineers today to build and maintain data pipelines with minimal effort. Its integration with other popular AWS services like Redshift, S3, and Amazon Athena makes it a valuable tool for data engineers to build end-to-end data engineering projects.

AWS 52

AWS Data Lake Scala ETL Tools 52