Knowledge Hut

JULY 20, 2023

The primary objective of online image encryption is to transform the visual data within an image into an unreadable and unintelligible form, making it inaccessible to unauthorized individuals. Some of the commonly used algorithms for image encryption are Advanced Encryption Standard (AES), Data Encryption Standard (DES), and Triple DES.

Medical 40

Medical Algorithm Metadata Cloud Storage 40

Engineering at Meta

FEBRUARY 20, 2024

We’ve partnered with Voltron Data and the Arrow community to align and converge Apache Arrow with Velox , Meta’s open source execution engine. This new convergence helps Meta and the larger community build data management systems that are unified, more efficient, and composable.

Data Management 103

Data Management Bytes Management Datasets 103

Rockset

JUNE 27, 2019

At Rockset, we want our users to be able to continuously ingest their data into Rockset with sub-second write latency and query it in 10s of milliseconds. Let me quickly describe where the RocksDB storage nodes fall in the overall system architecture. The data in 1 RocksDB instance is not replicated to other machines.

Bytes 40

Bytes Metadata Cloud Engineering 40

Towards Data Science

MARCH 5, 2024

Make the most out of your BigQuery usage, burn data rather than money to create real value with some practical techniques. · ? Introduction In the field of data warehousing, there’s a universal truth: managing data can be costly. But let me give you a magical spell to appease the dragon: burn data, not money!

Bytes 69

Bytes Google Cloud Cloud Storage Utilities 69

Monte Carlo

FEBRUARY 9, 2023

Over the past several years, data warehouses have evolved dramatically, but that doesn’t mean the fundamentals underpinning sound data architecture needs to be thrown out the window. While data vault has many benefits, it is a sophisticated and complex methodology that can present challenges to data quality.

Architecture 52

Architecture Raw Data Metadata Data Warehouse 52

Confluent

MARCH 13, 2019

It can be used for streaming data into Kafka from numerous places including databases, message queues and flat files, as well as streaming data from Kafka out to targets such as document stores, NoSQL, databases, object storage and so on. Since Apache Kafka 2.0, txt" } }'. jq -c -M '[.name,tasks[].state]' name,tasks[].state]'

Kafka 111

Kafka Bytes Metadata NoSQL 111

Netflix Tech

SEPTEMBER 24, 2021

As described by the white paper Apple ProRes ( link ), the target data rate of the Apple ProRes HQ for 1920x1080 at 29.97 The inspection stage examines the input media for compliance with Netflix’s delivery specifications and generates rich metadata. Uploading and downloading data always come with a penalty, namely latency.

Cloud 95

Cloud Bytes Cloud Storage Media 95

Pinterest Engineering

NOVEMBER 22, 2023

Goku is our in-house time series database providing cost efficient and low latency storage for metrics data. In the first blog, we will share a short summary on the GokuS and GokuL architecture, data format for Goku Long Term, and how we improved the bootstrap time for our storage and serving components.

Database 98

Database Bytes Kafka Architecture 98

Monte Carlo

JUNE 26, 2023

When it comes to partnerships at Monte Carlo, it’s always been our aim to double-down on the technologies we believe will shape the future of the modern data stack. In fact, according to Mordor Intelligence , the data lake market is expected to grow from $3.74 Data observability isn’t just helping customers at the storage layer either.

Data Lake 52

Data Lake Metadata Bytes Google Cloud 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. When data quality is neglected, data teams end up spending valuable time responding to broken dashboards and unreliable reports. Data can be stale or duplicative.

Metadata 52

Metadata Bytes Government Data 52

Netflix Tech

MAY 5, 2021

Netflix, and particularly Studio applications (and Studio in the Cloud) produce petabytes of data backed by billions of media assets. To support such use cases, access control at the user workspace and project workspace granularity is extremely important for presenting a globally consistent view of pertinent data to these artists.

Metadata 69

Metadata Bytes Media Cloud Storage 69

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. For example, structuring the content could be a set of paragraphs, bulleted points, and data tables or images. It is the first building block to be laid when designing a website.

Java 98

Java Programming Language Architecture Database 98

Cloudera

AUGUST 14, 2020

One of the key challenges of building an enterprise-class robust scalable storage system is to validate the system under duress and failing system components. This includes, but is not limited to: failed networks, failed or failing disks, arbitrary delays in the network or IO path, network partitions, and unresponsive systems.

Hadoop 96

Hadoop Bytes Metadata Programming Language 96

Zalando Engineering

OCTOBER 4, 2021

The problem When building Machine Learning (ML) applications - such as recommender systems - there is often a need to provide a "feature store" which can enrich the request to the system with additional ML features. These data are usually stored in key-value stores like Redis, using the user ID as the key, and the features as value.

Machine Learning 52

Machine Learning Datasets Bytes Database 52

Rockset

APRIL 11, 2023

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. This enables users to avoid overprovisioning to handle bursty workloads Supporting multiple applications on shared real-time data. How does Rockset solve the problem?

Architecture 52

Architecture Cloud Bytes Metadata 52

Confluent

JULY 1, 2019

Apache Kafka ® is a distributed system. Data is read from and written to the leader for a given partition, which could be on any of the brokers in a cluster. 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.

Kafka 99

Kafka Metadata AWS Bytes 99

Monte Carlo

MAY 13, 2021

Your CTO is all in on this “modern data stack,” or as she calls it: “ The Enterprise Data Discovery.” But as any data engineer will tell you, not even the best tools will save you from broken pipelines. The comment property is particularly useful if you’ve been diligent about documenting your data with COMMENT.

SQL 40

SQL Metadata Bytes Data Pipeline 40

Netflix Tech

MAY 26, 2020

By collecting, accessing and analyzing network data from a variety of sources like VPC Flow Logs, ELB Access Logs, Custom Exporter Agents, etc, we can provide Network Insight to users through multiple data visualization techniques like Lumen , Atlas , etc. At Netflix we publish the Flow Log data to Amazon S3.

AWS 60

AWS Bytes Metadata Cloud 60

ProjectPro

SEPTEMBER 26, 2021

The Big Data industry will be $77 billion worth by 2023. According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer? Who is a Big Data Engineer?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Netflix Tech

OCTOBER 16, 2019

Datasets themselves are of varying size, from a few bytes to multiple gigabytes. Dataset propagation At Netflix we use an in-house dataset pub/sub system called Gutenberg. consumers subscribe to data and are updated to the latest versions when they are published. there is no dependency on previous versions of data.

Datasets 75

Datasets Metadata Bytes Machine Learning 75

Rock the JVM

AUGUST 9, 2022

As a toy example, we’re going to take a brief foray into asynchronous operations, by connecting two streams to the same concurrent data structure. Broadly: A stream is a series of data elements that are made available over time. the first 1000 elements), the data will be constant, even if re-processed later.

Scala 40

Scala Bytes Kafka Programming 40

Knowledge Hut

JANUARY 3, 2024

Amazon S3 Amazon S3 is an object storage service which allows users to store and retrieve data from anywhere using the internet. It is infinitely scalable, and individuals can upload files ranging from 0 bytes to 5 TB. Data objects are stored redundantly across multiple devices in several locations.

AWS 52

AWS Amazon Web Services Certification Relational Database 52

Tweag

APRIL 19, 2023

Most training pipelines and systems are designed to handle fairly small, sub-megapixel images. In this blog post, I will explain the underlying technical challenges and share the solution that we helped implement at kaiko.ai , a MedTech startup in Amsterdam that is building a Data Platform to support AI research in hospitals.

Medical 59

Medical Process Cloud Bytes 59

DoorDash Engineering

JANUARY 23, 2024

Although that process started with a limited set of configurations, the old system struggled to keep up with DoorDash’s growth across new verticals. Additionally, the current system operates with a limited set of features, reducing the speed with which new capabilities and experiments can be launched.

Architecture 74

Architecture Metadata Bytes Systems 74

Netflix Tech

FEBRUARY 13, 2020

The goal is to have the compressed image look as close to the original as possible while reducing the number of bytes required. JPEG can ingest RGB data and transform it to a luma-chroma representation before performing lossy compression. Given the image-heavy nature of the UI, compressing these images well is of primary importance.

Coding 84

Coding Bytes Datasets Media 84

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. Apart from this, Runtastic also relies upon PySpark for their Big Data sanity checks.

Hadoop 52

Hadoop Python Datasets Metadata 52

Confluent

MAY 29, 2019

In this way, registration queries are more like regular data definition language (DDL) statements in traditional relational databases. If you consider the clickstream data example from the kafka-examples repository, our event streaming process looks something like this: Figure 1. Managing KSQL dependencies. The KSQL pipeline flow.

Kafka 94

Kafka Management Bytes SQL 94

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

Dataquest

NOVEMBER 4, 2019

If you’ve ever wanted to learn Python online with streaming data, or data that changes quickly, you may be familiar with the concept of a data pipeline. Data pipelines allow you transform data from one representation to another through a series of steps. 200 30294 "[link] "Mozilla/5.0 (X11; Mozilla/5.0 (X11;

Data Pipeline 52

Data Pipeline Python Building Raw Data 52

Confluent

APRIL 30, 2019

This framework opens the door for various optimization techniques from the existing data stream management system (DSMS) and data stream processing literature. addSink(" SinkProcessor" , "output" , "MappingProcessor" ); System. build(properties); System. With the release of Apache Kafka ® 2.1.0, println(builder.

Kafka 90

Kafka Coding Process Bytes 90

ProjectPro

JUNE 29, 2021

Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! In that case, this blog on the most popular 100+ Apache Kafka interview questions and answers will help you nail your next big data job interview. Consumers read data from the brokers.

Kafka 40

Kafka Bytes Big Data Java 40

Rockset

FEBRUARY 14, 2020

I walk through an end to end integration of requesting data from the car, streaming it into a Kafka Topic and using Rockset to expose the data via its API to create real time visualisations in D3. This integration allows you to take data that is being streamed into a Kafka topic and make it immediately available for analytics.

Kafka 40

Kafka SQL Metadata Bytes 40

ProjectPro

JULY 6, 2016

HBase provides real-time read or write access to data in HDFS. Data can be stored in HDFS directly or through HBase. Master node manages the cluster and region servers in HBase store portions of the HBase tables and perform data model operations. Delete Method- To delete the data from HBase tables.

Hadoop 40

Hadoop Bytes Metadata MongoDB 40

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. Forward data conference ⏩ I'm excited to announce that I am co-organising the Forward Data Conference , a one-day event in Paris. Be ready for Forward Data!

Data 100

Data Bytes Metadata SQL 100

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. Processes structured data. What do the four V’s of Big Data denote?

Hadoop 40

Hadoop Big Data Metadata Java 40

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 ranges of objects? — ?

Media 85

Media Bytes Process Accessible 85