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. Let’s look into the critical modules that are needed to build this type of system.

Building 91

Building Algorithm Kafka Machine Learning 91

AltexSoft

MAY 12, 2021

This exposure makes the respiratory system extremely susceptible to a wide range of diseases, from long-familiar asthma to novel COVID-19. 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.

Medical 72

Medical Healthcare Datasets Machine Learning 72

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

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

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

However, it might not be ideal for time series data because it requires importing all helper classes for the year, month, week, and day formatters. It's also inconvenient when dealing with several datasets, but converting a dataset into a long format and plotting it is simple. total size of data’).

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

ProjectPro

JANUARY 24, 2023

One of the core features of ADF is the ability to preview your data while creating your data flows efficiently and to evaluate the outcome against a sample of data before completing and implementing your pipelines. Such features make Azure data flow a highly popular tool among data engineers.

Retail 52

Retail Big Data Data Pipeline Media 52

Rockset

OCTOBER 26, 2022

One was to create another data pipeline that would aggregate data as it was ingested into DynamoDB. After finding Rockset through an AWS blog on creating leaderboards , we wasted no time in starting to build a new customer-facing leaderboard based on Rockset. And that’s true for small datasets and larger ones.

SQL 52

SQL NoSQL Database Aggregated Data 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. Data modeling. What is an analytics engineer?

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

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. We often see ingest queries aggregate data by time.

Database-centric 52

Database-centric Pipeline-centric SQL Aggregated Data 52

Netflix Tech

APRIL 26, 2022

The Iceberg table created by Keystone contains large blobs of unstructured data. These large unstructured blogs are not efficient for querying, so we need to transform and store this data in a different format to allow efficient queries. As our label dataset was also random, presorting facts data also did not help.

Metadata 75

Metadata Datasets Machine Learning Designing 75

Rockset

FEBRUARY 25, 2021

It’s difficult to create data analytics systems that can easily query across your various data sources while maintaining fast performance and real-time capabilities. Elasticsearch , originally developed for text search, has recently tried to push into the data analytics space. This can be a challenge, though.

SQL 40

SQL Data Pipeline Kafka Database 40

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. The entire collection is available here.

Metadata 142

Metadata Coding SQL Database 142

ProjectPro

NOVEMBER 15, 2021

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. Following these statistics, big data is set to get bigger with the evolution of open-source projects.

Big Data 52

Big Data Project Metadata Programming Language 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

MARCH 29, 2021

It also provides an advanced materialized view engine to enable live aggregated datasets to be accessible by other applications via a simple REST API. Data decays. Yes, data has a shelf life. For more than three decades, SQL has been an accepted way to conduct queries across a range of database systems.

SQL 111

SQL Scala Manufacturing Java 111

Lyft Engineering

APRIL 21, 2023

Building a large scale unsupervised model anomaly detection system — Part 1 Distributed Profiling of Model Inference Logs By Anindya Saha , Han Wang , Rajeev Prabhakar Introduction LyftLearn is Lyft’s ML Platform. In a previous blog post , we explored the architecture and challenges of the platform.

Systems 105

Systems Building Machine Learning Datasets 105

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. After considering the aforementioned factors and studying other existing metric frameworks, we decided to adopt standard BI data models.

SQL 82

SQL Metadata Raw Data Government 82

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 is hugely inefficient, expensive and time-wasting.

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