Netflix Tech

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. This file includes: Metadata ?—?This Mount multiple objects? — ?

Media 90

Media Bytes Process Accessible 90

Netflix Tech

MAY 5, 2021

A file and folder interface for Netflix Cloud Services Written by Vikram Krishnamurthy , Kishore Kasi , Abhishek Kapatkar , and Tejas Chopra In this post, we are introducing Netflix Drive, a Cloud drive for media assets and providing a high level overview of some of its features and interfaces. The major pieces, as shown in Fig.

Metadata 78

Metadata Bytes Media Cloud Storage 78

Confluent

JULY 1, 2019

When a client (producer/consumer) starts, it will request metadata about which broker is the leader for a partition—and it can do this from any broker. Brokers in the cloud (e.g., AWS EC2) and on-premises machines locally (or even in another cloud). This is the metadata that’s passed back to clients. The default is 0.0.0.0,

Kafka 101

Kafka Metadata AWS Bytes 101

Tweag

APRIL 19, 2023

Thankfully, cloud-based infrastructure is now an established solution which can help do this in a cost-effective way. As a simple solution, files can be stored on cloud storage services, such as Azure Blob Storage or AWS S3, which can scale more easily than on-premises infrastructure. But as it turns out, we can’t use it.

Medical 61

Medical Process Cloud Bytes 61

ProjectPro

JUNE 6, 2025

This cluster can be from AWS / GCP / Azure cloud service or a Kubernetes cluster. Object Store: Responsible for storing data in a distributed setting and helping in sharing objects efficiently, and storing the metadata needed. Hardware can be either your laptop or any cloud service provider for setting up the Ray cluster.

Python 45

Python Machine Learning Datasets Data Science 45

ProjectPro

JUNE 6, 2025

Recommended Reading: Top 50 NLP Interview Questions and Answers 100 Kafka Interview Questions and Answers 20 Linear Regression Interview Questions and Answers 50 Cloud Computing Interview Questions and Answers HBase vs Cassandra-The Battle of the Best NoSQL Databases 3) Name few other popular column oriented databases like HBase.

Hadoop 40

Hadoop Bytes Metadata MongoDB 40

Cloudera

AUGUST 14, 2020

One key part of the fault injection service is a very lightweight passthrough fuse file system that is used by Ozone for storing all its persistent data and metadata. The APIs are generic enough that we could target both Ozone data and metadata for failure/corruption/delays. NetFilter Extension.

Hadoop 96

Hadoop Bytes Metadata Programming Language 96

ProjectPro

JUNE 6, 2025

Geo-Replication in Kafka is a process by which you can duplicate messages in one cluster across other data centers or cloud regions. Message Broker: Kafka is capable of appropriate metadata handling, i.e., a large volume of similar types of messages or data, due to its high throughput value. config/server.properties 25.

Kafka 45

Kafka Bytes Big Data Java 45

ProjectPro

JUNE 6, 2025

Becoming a Big Data Engineer - The Next Steps Big Data Engineer - The Market Demand An organization’s data science capabilities require data warehousing and mining, modeling, data infrastructure, and metadata management. Industries generate 2,000,000,000,000,000,000 bytes of data across the globe in a single day.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

Rockset

APRIL 11, 2023

Rockset hosted a tech talk on its new cloud architecture that separates storage-compute and compute-compute for real-time analytics. With compute-compute separation in the cloud, users can allocate multiple, isolated clusters for ingest compute or query compute while sharing the same real-time data.

Architecture 52

Architecture Cloud Bytes Metadata 52

Netflix Tech

MAY 26, 2020

Service Segmentation: The ease of the cloud deployments has led to the organic growth of multiple AWS accounts, deployment practices, interconnection practices, etc. Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the Cloud Network Infrastructure to address the identified problems.

Bytes 64

Bytes AWS Metadata Cloud 64

Confluent

MAY 29, 2019

Rigid file naming standards that had built-in dependency metadata. Of course, a local Maven repository is not fit for real environments, but Gradle supports all major Maven repository servers, as well as AWS S3 and Google Cloud Storage as Maven artifact repositories. zip Zip file size: 3593 bytes, number of entries: 9 drwxr-xr-x 2.0

Kafka 96

Kafka Management Bytes SQL 96

Cloudera

APRIL 23, 2021

To prevent the management of these keys (which can run in the millions) from becoming a performance bottleneck, the encryption key itself is stored in the file metadata. Each file will have an EDEK which is stored in the file’s metadata. sent 11,286 bytes received 172 bytes 2,546.22 keytrustee ccycloud-3.cdpvcb.root.hwx.site:/var/lib/keytrustee/.

MySQL 73

MySQL Java Bytes Data 73

Precisely

JULY 21, 2023

Founded by the original creators of Kafka, Confluent provides a cloud-native and complete data streaming platform available everywhere a business’s data may reside. Confluent Platform is a complete, enterprise-grade distribution of Kafka for on-premises and private cloud workloads.

Data Integration 52

Data Integration Kafka Bytes Banking 52

ProjectPro

JUNE 6, 2025

Map Reduce programs in cloud computing are parallel, making them ideal for executing large-scale data processing across multiple machines in a cluster. It ensures that the data collected from cloud sources or local databases is complete and accurate. NameNode is often given a large space to contain metadata for large-scale files.

Big Data 40

Big Data Hadoop Relational Database AWS 40

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Monte Carlo

APRIL 21, 2022

Adopting a cloud data warehouse like Snowflake is an important investment for any organization that wants to get the most value out of their data. This query will fetch a list of all tables within a database, along with helpful metadata about their settings.

Metadata 52

Metadata Bytes Government Data Architect 52

Knowledge Hut

DECEMBER 19, 2023

Java has become the go-to language for mobile development, backend development, cloud-based solutions, and other trending technologies like IoT and Big Data. It allows the addition of metadata to the changes, which facilitates team members in pinpointing the changes introduced in the code, why it was made, and when and who made it.

Java 98

Java Programming Language Database Programming 98

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 Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Monte Carlo

JUNE 26, 2023

As the only data observability platform to provide full visibility into delta tables With our delta lake integration, Monte Carlo supports all delta tables across all metastores and all three major platform providers including Microsoft Azure, AWS and Google Cloud.

Data Lake 52

Data Lake Metadata Bytes Google Cloud 52

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Datakin

OCTOBER 14, 2021

Most importantly, you will need to know: the file path of your Google Cloud service account’s JSON key the name of your Google Cloud project If that doesn’t mean anything to you, never fear! Our schema has changed, and we want Datakin to have the latest metadata about tables and columns. % dbt version: 0.21.0

Google Cloud 52

Google Cloud Bytes Datasets Metadata 52

Knowledge Hut

JANUARY 3, 2024

For additional knowledge, you can consider going for the best Cloud Computing certification courses. EC2 Instances AWS provides a web service called Amazon Elastic Compute Cloud (Amazon EC2), which facilitates resizable compute capacity. Users can avail of this service to launch virtual servers (instances) on the cloud.

AWS 52

AWS Amazon Web Services Certification Relational Database 52

Knowledge Hut

JULY 20, 2023

The key can be a fixed-length sequence of bits or bytes. Secure Image Sharing in Cloud Storage Selective image encryption can be applied in cloud storage services where users want to share images while protecting specific sensitive content. Key Generation: A secret encryption key is generated.

Medical 40

Medical Algorithm Metadata Cloud Storage 40

Rockset

JUNE 27, 2019

RocksDB-Cloud RocksDB is an embedded key-value store. To achieve durability, we built RocksDB-Cloud. RocksDB-Cloud replicates all the data and metadata for a RocksDB instance to S3. We limit the number of bytes that can be written per second to all RocksDB instances assigned to a leaf node.

Bytes 40

Bytes Metadata Cloud Engineering 40

ProjectPro

SEPTEMBER 26, 2021

Becoming a Big Data Engineer - The Next Steps Big Data Engineer - The Market Demand An organization’s data science capabilities require data warehousing and mining, modeling, data infrastructure, and metadata management. Industries generate 2,000,000,000,000,000,000 bytes of data across the globe in a single day.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

ProjectPro

JULY 6, 2016

Recommended Reading: Top 50 NLP Interview Questions and Answers 100 Kafka Interview Questions and Answers 20 Linear Regression Interview Questions and Answers 50 Cloud Computing Interview Questions and Answers HBase vs Cassandra-The Battle of the Best NoSQL Databases 3) Name few other popular column oriented databases like HBase.

Hadoop 40

Hadoop Bytes Metadata MongoDB 40

ProjectPro

JUNE 6, 2025

Avro files store metadata with data and also let you specify independent schema for reading the files. 12) Mention a business use case where you worked with the Hadoop Ecosystem You can share details on how you deployed Hadoop distributions like Cloudera and Hortonworks in your organization either in a standalone environment or on the cloud.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JANUARY 31, 2023

Map Reduce programs in cloud computing are parallel, making them ideal for executing large-scale data processing across multiple machines in a cluster. It ensures that the data collected from cloud sources or local databases is complete and accurate. NameNode is often given a large space to contain metadata for large-scale files.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

AUGUST 21, 2015

Avro files store metadata with data and also let you specify independent schema for reading the files. 12) Mention a business use case where you worked with the Hadoop Ecosystem You can share details on how you deployed Hadoop distributions like Cloudera and Hortonworks in your organization either in a standalone environment or on the cloud.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 29, 2021

Geo-Replication in Kafka is a process by which you can duplicate messages in one cluster across other data centers or cloud regions. Message Broker: Kafka is capable of appropriate metadata handling, i.e., a large volume of similar types of messages or data, due to its high throughput value. config/server.properties 25.

Kafka 40

Kafka Bytes Big Data Java 40

nodeSWAT

JUNE 21, 2016

Did you know that by default, NPM keeps all the packages and metadata it ever downloads in its cache folder indefinitely? link] So what happens is that when you install things, NPM will store the tarballs and metadata into the packages folder. That is a lot of metadata. Well it does. So far so good.

Metadata 52

Metadata Google Cloud Coding Bytes 52

Edureka

JANUARY 2, 2025

Server logs might, for example, contain additional metadata such as the referring URL, HTTP status codes, bytes delivered, and user agents. Challenge #1: Volume With the expansion of hybrid networks, cloud computing, and digital transformation, log data has also increased in volume.

Bytes 52

Bytes Database Accessible Accessibility 52

Christophe Blefari

JUNE 15, 2024

hey ( credits ) 🥹It's been a long time since I've put words down on paper or hit the keyboard to send bytes across the network. At the same time they announced their model will run on-device (keeping your data safe and private) and when more compute will be required they will use a private cloud. Looks neat.

Data 100

Data Bytes Metadata SQL 100