Netflix Tech

DECEMBER 3, 2022

mock Generate or validate mock datasets. The most commonly used one is dataflow project , which helps folks in managing their data pipeline repositories through creation, testing, deployment and few other activities. " ) COMMENT "Example dataset brought to you by Dataflow. -v, --verbose Enables verbose mode.

Data Pipeline 143

Data Pipeline Scala Metadata Food 143

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

Cloudyard

APRIL 4, 2024

However, the volume of daily transaction data poses challenges in effectively segmenting customers and optimizing engagement. This blog post explores how Snowpark, a powerful tool for data processing within Snowflake, can be used to perform RFM segmentation and unlock actionable customer insights.

Retail 40

Retail Data Ingestion Metadata Datasets 40

RandomTrees

FEBRUARY 6, 2024

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data lakes, distributed computing, containerization, serverless computing, machine learning, graph database, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Process 84

Process Data Pipeline Datasets SQL 84

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

LinkedIn Engineering

MARCH 23, 2023

Co-Authors: Yuhong Cheng , Shangjin Zhang , Xinyu Liu, and Yi Pan Efficient data processing is crucial in reducing learning curves, simplifying maintenance efforts, and decreasing operational complexity. In this blog post, we will share our progress, challenges, and lessons learned from implementing Apache Beam.

Process 97

Process Lambda Architecture Kafka Datasets 97

RandomTrees

MARCH 22, 2024

Snowflake, a popular cloud-based data warehousing platform, offers a powerful solution to this problem through its versatile SQL capabilities. In this article, we will explore how Snowflake enables the splitting of a delimited string column into rows, facilitating more efficient data processing and analysis.

Media 52

Media Healthcare Datasets Electronics 52

LinkedIn Engineering

DECEMBER 12, 2023

We say that an algorithm is differentially private if any result of the algorithm cannot depend too much on any single data record in a dataset. Hence, differential privacy provides uncertainty for whether or not an individual data record is in the dataset.

Algorithm 77

Algorithm Metadata SQL Datasets 77

Data Engineering Weekly

JULY 23, 2023

This blog post will delve into these questions, tackle common misconceptions, and give you an intuitive understanding of how to think about GPUs. link] Piethein Strengholt: Data Management at Scale Data Mesh is a widely discussed and debated topic on the possibility of decentralized data management at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Knowledge Hut

OCTOBER 26, 2023

In the world of machine learning, where data-driven solutions have the power to transform industries and empower individuals, if you're new to this exciting field and eager to embark on your machine-learning journey, you're in the right place. There are numerous data set s that you can choose from and perform analysis on.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

DoorDash Engineering

APRIL 12, 2023

Challenges of ad-hoc SQLs Our initial goal with Curie was to standardize the analysis methodologies and simplify the experiment analysis process for data scientists. There was no clear ownership for metrics, and there was no formal review or approval process for making definition changes.

SQL 82

SQL Metadata Raw Data Government 82

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! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

OCTOBER 26, 2023

In this blog, we will show some interesting AWS project ideas for all professionals, including beginners, intermediate, and advanced. blog) easily using any of your preferred CMS. Creating Real-time Data Processing Application You can build a real-time data processing application using Amazon Kinesis along with Amazon Lambda.

AWS 52

AWS Coding Project Cloud Computing 52

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. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. We could also get contextual information about the streaming session by joining relevant traces with account metadata and service logs. The next challenge was to stream large amounts of traces via a scalable data processing platform.

Building 93

Building Transportation Metadata Java 93

ProjectPro

NOVEMBER 22, 2021

What's the difference between an RDD, a DataFrame, and a DataSet? RDDs contain all datasets and dataframes. If a similar arrangement of data needs to be calculated again, RDDs can be efficiently reserved. It's useful when you need to do low-level transformations, operations, and control on a dataset. Output- Q13.

Hadoop 52

Hadoop Python Datasets Metadata 52

Ascend.io

JUNE 8, 2023

However, transforming data into a product so that it can deliver outsized business value requires more than just a mission statement; it requires a solid foundation of technical capabilities and a truly data-centric culture. Good data stewardship and healthy data catalogs are worthwhile investments.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Tweag

APRIL 19, 2023

To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. load training metadata dataset = PatchDataset ( slides_specs = slides_specs ) train_loader = DataLoader ( dataset ) trainer = pl. To learn more about it, see Ray’s Dataset documentation.

Medical 60

Medical Process Cloud Bytes 60

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

NOVEMBER 7, 2016

This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing. Understanding the Hadoop architecture now gets easier!

Hadoop 40

Hadoop Architecture IT Big Data 40

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Real-time Data Processing Application 7.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Knowledge Hut

JULY 26, 2023

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL Telecommunication MongoDB 52

Rockset

JUNE 7, 2021

This often leads to data being pulled in batches anywhere from large batches pulled once a day to lots of small batches pulled frequently. The rule of thumb is that if you are looking to build a real-time data processing system then the push approach should be used. Any new files are then captured and their metadata stored too.

IT 40

IT Kafka Database MongoDB 40

Cloudera

JULY 19, 2023

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale. The hardware specifications are included at the end of this blog.

Management 69

Management Metadata Datasets Architecture 69

ProjectPro

APRIL 4, 2015

” With the increasing demand for Hadoop for Big Data related issues, the prediction by Gartner is ringing true. Of the 3000 Hadoop students that we have trained so far, the most popular blog article request was one on hadoop interview questions. Add the blog links to your resume. Process Unstructured Data.

Hadoop 40

Hadoop Big Data Recruitment Java 40

ProjectPro

JANUARY 27, 2016

There is no single performance tuning technique that can fit all hadoop jobs because it is very difficult to obtain equilibrium among the various resources whilst solving the big data problem. The performance tuning tips and tricks vary based on the amount of data that is being moved and also on the type of Hadoop job being run in production.

Hadoop 40

Hadoop Big Data Unstructured Data Portfolio 40

Cloudera

MARCH 23, 2022

Therefore, alleviating the need to use different connectors, exotic and poorly maintained APIs, and other use-case specific workarounds to work with your datasets. . Iceberg is designed to be open and engine agnostic allowing datasets to be shared. Change data capture (CDC). 3: Open Performance.

Metadata 88

Metadata Data Architecture BI Machine Learning 88

ProjectPro

OCTOBER 20, 2021

If you are unsure, be vocal about your thought process and the way you are thinking – take inspiration from the examples below and explain the answer to the interviewer through your learnings and experiences from data science and machine learning projects. Alright, we have had enough fun building up to this moment.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Data Engineering Podcast

JANUARY 28, 2018

Links Dat Project Code For Science and Society Neuroscience Cell Biology OpenCon Mozilla Science Open Education Open Access Open Data Fortune 500 Data Warehouse Knight Foundation Alfred P. And that supports us it’s called debt in the lab, and I can get you a link to it on our blog. And now, that project started 2016.

Data 100

Data Project Electronics Data Management 100

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

Data Pipeline 114

Data Pipeline Building Manufacturing Data Warehouse 114

ProjectPro

JUNE 29, 2021

This blog brings you the most popular Kafka interview questions and answers divided into various categories such as Apache Kafka interview questions for beginners, Advanced Kafka interview questions/Apache Kafka interview questions for experienced, Apache Kafka Zookeeper interview questions, etc. Set data for a particular znode.

Kafka 40

Kafka Bytes Big Data Java 40

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

Cloudera

JUNE 16, 2022

Use cases like fraud detection, network threat analysis, manufacturing intelligence, commerce optimization, real-time offers, instantaneous loan approvals, and more are now possible by moving the data processing components up the stream to address these real-time needs. .

Kafka 84

Kafka Manufacturing Data Lake SQL 84

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies. Increased confidence in data results in trusted AI.

Cloud 101

Cloud Unstructured Data Metadata Datasets 101