DoorDash Engineering

OCTOBER 17, 2023

Internally, we apply a recursive algorithm to eliminate subsets of the data that contribute most to imbalance, similar to what an experimenter would do in the process of salvaging data from SRM. Using weights in regression allows efficient scaling of the algorithm, even when interacting with large datasets.

Education 87

Education Kafka Algorithm Data Warehouse 87

AltexSoft

MAY 12, 2021

The most advanced AI algorithms achieved the accuracy of almost 97 percent. Source: AWS Machine Learning Blog. Data de-identification / anonymization. Under regulations, all sensitive details that link an image to a particular individual must be removed or hidden before you feed data to your algorithm.

Medical 72

Medical Healthcare Datasets Machine Learning 72

Databand.ai

JULY 10, 2023

Data visualization: Showcasing analyzed data in an easily understandable format through dashboards, charts, and graphs, to enable interpretation by teams in charge of maintaining system health, and other stakeholders in the organization. Observability Platform vs. Observability Tools: What Is the Difference?

Data Pipeline 52

Data Pipeline Algorithm Data Engineering Data Engineer 52

Cloudera

NOVEMBER 8, 2017

Building a full customer 360 requires aggregating data sets into a single view. DOCOMO Digital uses algorithms to determine the best advertising content that helps maximize consumer conversion rates. You can also read about Cloudera Data Science and Engineering here. Driving customer insights with machine learning.

Machine Learning 40

Machine Learning Aggregated Data Algorithm Data Science 40

Netflix Tech

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Bytes 95

Bytes Datasets Metadata Data 95

Netflix Tech

APRIL 26, 2022

To achieve this, we rely on Machine Learning (ML) algorithms. ML algorithms can be only as good as the data that we provide to it. This post will focus on the large volume of high-quality data stored in Axion?—?our The Iceberg table created by Keystone contains large blobs of unstructured data.

Metadata 78

Metadata Datasets Machine Learning Designing 78

Snowflake

FEBRUARY 6, 2023

The latter create integrated, higher-value data products that are geared towards requirements of the data consumers on the business side; for example, a customer 360 domain aggregating data from multiple sources. Some teams are data producers but not data consumers. It’s not just the data teams.

Government 81

Government Data Data Pipeline Architecture 81

Edureka

FEBRUARY 6, 2023

Azure Data Engineers are in high demand due to the growth of cloud-based data solutions. In this article, we will examine the duties of an Azure Data Engineer as well as the typical pay in this industry. Conclusion So this was all about the salary, job description, and skills of an Azure Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

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

FEBRUARY 16, 2024

In this blog, we’ll describe how Klarna implemented real-time anomaly detection at scale, halved the resolution time and saved millions of dollars using Rockset. Furthermore, Rockset’s ability to pre-aggregate data at ingestion time reduced the cost of storage and sped up queries, making the solution cost-effective at scale.

Architecture 59

Architecture SQL Data Warehouse Database 59

AltexSoft

JANUARY 26, 2022

The credit for coining the new role goes to Michael Kaminsky , a former Director of Analytics at Harry’s Grooming and a founder of Recast, who wrote the article about analytics engineering on the Locally Optimistic blog in 2019. Analytics engineers may also take care of writing cleansing algorithms to further improve the quality of data.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

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

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

JANUARY 6, 2022

This Python library is closely linked with NumPy and pandas data structures. Seaborn strives to make visualization a key component of data analysis and exploration, and its dataset-oriented plotting algorithms use data frames comprising entire datasets. Altair features dependencies such as python 3.6,

Python 52

Python Datasets Programming Language Data Science 52

ProjectPro

FEBRUARY 22, 2022

SQL Projects For Data Analysis Hoping the example above has fueled you with the zeal to enhance your programming skills in SQL , we present you with an exciting list of SQL projects for practice. You can use these SQL projects for data analysis and add them to your data analyst portfolio.

Data Analysis 52

Data Analysis SQL Project Banking 52

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

NOVEMBER 9, 2018

Since data fuels the growth of smart cities, it is crucial for governments to invest in data management and data security platforms, advanced analytics, and machine learning. Cost-effectively ingest, store and utilize data from all IoT devices.

Machine Learning 57

Machine Learning Banking Government Media 57

DoorDash Engineering

APRIL 12, 2023

Experimentation is embedded into DoorDash’s product development and growth strategy, and we run a lot of experiments with different features , products , and algorithms to improve the user experience, increase efficiency, and also gather insights that can be used to power future decisions.

SQL 83

SQL Metadata Raw Data Government 83

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! This ensures that queries access the latest, correct version of data.

Analytics Application 52

Analytics Application Data Warehouse Kafka Raw Data 52

Airbnb Tech

APRIL 30, 2021

Minerva takes fact and dimension tables as inputs, performs data denormalization, and serves the aggregated data to downstream applications. For example, data scientists have built a time series analysis tool and an email reporting framework using this API over the last two years.

Data Warehouse 52

Data Warehouse Finance Metadata Aggregated Data 52