Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

Big Data 98

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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 111

Database Bytes Kafka Architecture 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 97

Cloud Bytes Cloud Storage Media 97

Netflix Tech

MARCH 6, 2019

In addition to improving download speed, this is useful for cutting down on cross-region transfer costs when many workers will be processing the same data?—?we during a typical week at Netflix, MezzFS performs ~100 million mounts for dozens of different use cases and streams about ~25 petabytes of data. This file includes: Metadata ?—?This

Media 89

Media Bytes Process Accessibility 89

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 91

Coding Bytes Datasets Media 91

Confluent

JULY 1, 2019

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. This is the metadata that’s passed back to clients.

Kafka 101

Kafka Metadata AWS Bytes 101

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 76

Metadata Bytes Media Cloud Storage 76

Cloudera

APRIL 23, 2021

Introduction: Encryption of Data at Rest is a highly desirable or sometimes mandatory requirement for data platforms in a range of industry verticals including HealthCare, Financial & Government organizations. HDFS Encryption prevents access to clear text data. Each HDFS file is encrypted using an encryption key.

MySQL 73

MySQL Java Bytes Data 73

Netflix Tech

OCTOBER 16, 2019

Datasets themselves are of varying size, from a few bytes to multiple gigabytes. consumers subscribe to data and are updated to the latest versions when they are published. Each version of the dataset is immutable and represents a complete view of the data?—?there there is no dependency on previous versions of data.

Datasets 78

Datasets Metadata Bytes Machine Learning 78

Cloudera

AUGUST 14, 2020

It is also possible to simulate transient bad blocks that can return correct data after a while or after a restart. . Randomly injecting a failure and hoping to catch race conditions and possible data corruption may not always be fruitful. A failure action is either a delay, an error code or corrupt data chunks.

Hadoop 96

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Netflix Tech

MARCH 5, 2024

We have several frameworks that periodically refresh large amounts of on-heap data to avoid external service calls for efficiency. These periodic refreshes of on-heap data are great at taking G1 by surprise, resulting in pause time outliers well beyond the default pause time goal.

Java 98

Java Bytes Utilities Metadata 98

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 96

Kafka Management Bytes SQL 96

Data Engineering Weekly

DECEMBER 15, 2024

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. Python is undeniably becoming the de facto language for data practitioners. link] Dani: Apache Iceberg: The Hadoop of the Modern Data Stack?

Data Engineer 57

Data Engineer Data Engineering Engineering Hadoop 57

Precisely

JULY 21, 2023

Organizations face increasing demands for real-time processing and analysis of large volumes of data. Used by more than 75% of the Fortune 500, Apache Kafka has emerged as a powerful open source data streaming platform to meet these challenges. This is where Confluent steps in. This is where Confluent steps in.

Data Integration 52

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Big Data Tools

JUNE 8, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now. DataHub 0.8.36 – Metadata management is a big and complicated topic. There are several solutions. version on GitHub.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now. DataHub 0.8.36 – Metadata management is a big and complicated topic. There are several solutions. version on GitHub.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

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

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 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 63

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Grouparoo

OCTOBER 6, 2021

It was a fun experience and I think we made a good choice by picking 97 Things Every Data Engineer Should Know. 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.

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Expiring snapshots is a relatively cheap operation and uses metadata to determine newly unreachable files.

Bytes 59

Bytes Metadata Data Lake SQL 59

Tweag

APRIL 19, 2023

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. OpenSlide test data: CMU-1.tiff But as it turns out, we can’t use it.

Medical 61

Medical Process Cloud Bytes 61

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

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 Machine Learning 52

Datakin

OCTOBER 14, 2021

dbt is an amazing way to transform data within a data warehouse. Data lineage is super powerful like that. It is based on a pre-built sample project – a study of the Stack Overflow public data set – but you can apply this approach to a dbt project of your own. . % This view combines data from several tables.

Google Cloud 52

Google Cloud Datasets Bytes Metadata 52

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

Scribd Technology

MAY 18, 2021

Streaming data from Apache Kafka into Delta Lake is an integral part of Scribd’s data platform, but has been challenging to manage and scale. We use Spark Structured Streaming jobs to read data from Kafka topics and write that data into Delta Lake tables. To serve this need, we created kafka-delta-ingest.

Kafka 52

Kafka Data Warehouse Bytes Metadata 52

Pinterest Engineering

SEPTEMBER 17, 2024

Jeff Xiang | Senior Software Engineer, Logging Platform; Vahid Hashemian | Staff Software Engineer, LoggingPlatform When it comes to PubSub solutions, few have achieved higher degrees of ubiquity, community support, and adoption than Apache Kafka, which has become the industry standard for data transportation at large scale.

Kafka 51

Kafka Bytes Transportation Metadata 51

Ascend.io

APRIL 12, 2023

Right now, at this moment, are you prepared to act on your company’s data? So when we talk about making data usable, we’re having a conversation about data integrity. Data integrity is the overall readiness to make confident business decisions with trustworthy data, repeatedly and consistently. If not, why?

Data Pipeline 52

Data Pipeline Data Integration Datasets Data 52

DoorDash Engineering

JANUARY 23, 2024

At delivery creation, KafkaConsumer reads the data from Redis, creates a delivery assignment constraint (DAC) object, and then stores it in a DAC table via delivery service. As with other parts of the design, this data model was finalized after multiple iterations. So far, this has worked for all foreseeable use cases.

Architecture 74

Architecture Metadata Systems Bytes 74

Pinterest Engineering

SEPTEMBER 9, 2024

Goku is our in-house time series database that provides cost efficient and low latency storage for metrics data. GokuS consumes from this second Kafka topic and backs up the data intoS3. From S3, the Goku Shuffler and Compactor create the long term data ready to be ingested byGokuL.

Database 45

Database Bytes Kafka Software Engineer 45

Zalando Engineering

OCTOBER 4, 2021

So, companies keep a record of what article their users had clicked bought recently, and use this data in their recommender systems. Other commonly used data include: past browsing history, purchase history, user information like demographics, explicit preferences they shared etc. could be used, too.

Machine Learning 52

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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 Database Programming 98

Edureka

AUGUST 29, 2024

In data science, modeling is the process of utilizing data to make mathematical representations of real-world processes. Algorithms are used to data at this critical stage of the info science pipeline to seek out patterns, forecast outcomes, or obtain insights.

Data Science 40

Data Science Algorithm Medical Datasets 40

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 Engineer Data Engineering Engineering 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. Another good example of combining the two approaches can be found in the Real-Time Market Data Analytics Using Kafka Streams presentation from Kafka Summit.

Kafka 91

Kafka Coding Process Software Engineering 91

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 Relational Database AWS 52