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

Rockset

AUGUST 12, 2019

Rockset’s cloud-native architecture allows it to scale query performance and concurrency dynamically as needed, enabling fast queries even on large datasets with complex, nested data with inconsistent types. All that’s left then is to run our queries in our dashboard or application.

NoSQL 40

NoSQL AWS SQL Datasets 40

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

Rockset

DECEMBER 22, 2020

There are many blog posts detailing how to build an Express API, I’ll concentrate on what is required on top of this to make calls to Elasticsearch. We add an aggregation that groups by product_id using the terms keyword which by default returns a count. To do this we will be using NodeJS to build a simple Express API.

SQL 40

SQL Data MongoDB Aggregated Data 40

Knowledge Hut

JANUARY 25, 2024

It doesn't matter if you're a data expert or just starting out; knowing how to clean your data is a must-have skill. The future is all about big data. This blog is here to help you understand not only the basics but also the cool new ways and tools to make your data squeaky clean. What is Data Cleaning?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

LinkedIn Engineering

DECEMBER 20, 2023

In this blog post, we discuss how we are harnessing AI to help us with abuse prevention and share an overview of our infrastructure and the role it plays in identifying and mitigating abusive behavior on our platform. We need systems to ingest, process, and analyze the data efficiently.

Building 91

Building Algorithm Kafka Machine Learning 91

Knowledge Hut

OCTOBER 13, 2023

As per Microsoft, “A Power BI report is a multi-perspective view of a dataset, with visuals representing different findings and insights from that dataset. ” Reports and dashboards are the two vital components of the Power BI platform, which are used to analyze and visualize data.

BI 52

BI Business Analyst Datasets Raw Data 52

AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. Computer vision is a subset of artificial intelligence that focuses on processing and understanding visual data.

Medical 72

Medical Healthcare Datasets Machine Learning 72

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

ProjectPro

JANUARY 6, 2022

Can you believe that the human brain takes only 13 milliseconds to process an image? Humans crave stories, and visualizations allow us to create one from data. Understanding data requires the use of data visualizations, and this is because visuals are processed 60,000 times faster than text inside the human brain.

Python 52

Python Datasets Programming Language Data Science 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

AltexSoft

JANUARY 26, 2022

For more detailed information on data science team roles, check our video. An analytics engineer is a modern data team member that is responsible for modeling data to provide clean, accurate datasets so that different users within the company can work with them. Here’s the video explaining how data engineers work.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

ProjectPro

JANUARY 24, 2023

With over 80 in-built connectors and data sources, 90 in-built transformations, and the ability to process 2GB of data per hour, Azure data factory dataflows have become the de facto choice for organizations to integrate and transform data from various sources at scale.

Retail 52

Retail Big Data Data Pipeline Media 52

Rockset

NOVEMBER 1, 2022

This blog outlines best practices from customers I have helped migrate from Elasticsearch to Rockset , reducing risk and avoiding common pitfalls. In this blog, we distilled their migration journeys into 5 steps. This is a quick way to ingest large data sets into Rockset to start testing query speeds.

Database-centric 52

Database-centric Pipeline-centric SQL Aggregated Data 52

Cloudera

NOVEMBER 13, 2020

This is part of our series of blog posts on recent enhancements to Impala. Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? It turns out that Apache Impala scales down with data just as well as it scales up.

Metadata 142

Metadata Coding SQL Database 142

Netflix Tech

APRIL 26, 2022

Fig 2: Internal components of Axion Axion’s fact logging client logs facts to the keystone real-time stream processing platform , which outputs data to an Iceberg table. We use Keystone as it is easy to use, reliable, scalable, and provides aggregation of facts from different cloud regions into a single AWS region.

Metadata 75

Metadata Datasets Machine Learning Designing 75

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

Rockset

FEBRUARY 25, 2021

Often this lack of structure forces developers to spend a lot of their time engineering ETL and data pipelines so that analysts can access the complex datasets. This takes a lot of time and is often a slow process that doesn’t work well for anybody. From there, you can join and aggregate data without using complex code.

SQL 40

SQL Data Pipeline Kafka Database 40

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloudera

MARCH 29, 2021

Eventador was adept at simplifying the process of building streaming applications. Their flagship product, SQL Stream Builder, made access to real-time data streams easily possible with just SQL (Structured Query Language). Data decays. Yes, data has a shelf life. What is SQL Stream Builder? Register NOW!

SQL 111

SQL Scala Manufacturing Java 111

DoorDash Engineering

APRIL 12, 2023

A centralized metrics layer ensures accurate and reliable measurement of experiment results and streamlines the analysis process by minimizing the need for ad-hoc analysis. We have our in-house experimentation analysis platform called Curie , which automates and unifies the process of analyzing experiments at DoorDash.

SQL 82

SQL Metadata Raw Data Government 82

Lyft Engineering

APRIL 21, 2023

In a previous blog post , we explored the architecture and challenges of the platform. In our previous blog , we discussed the various challenges we faced in model monitoring and our strategy to address some of these issues. The purposes of profiling are: To normalize and compress metric data while retaining maximal information.

Systems 105

Systems Building Machine Learning Datasets 105

Rockset

APRIL 15, 2022

This is the second post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Both workarounds have significant problems.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

Airbnb Tech

APRIL 30, 2021

While we have previously shared how we ingest data into our data warehouse and how to enable users to conduct their own analyses with contextual data , we have not yet discussed the middle layer: how to properly model and transform data into accurate, analysis-ready datasets. Our work hardly stopped there, however.

Data Warehouse 52

Data Warehouse Finance Metadata Aggregated Data 52