LinkedIn Engineering

DECEMBER 19, 2023

Co-authors: Arjun Mohnot , Jenchang Ho , Anthony Quigley , Xing Lin , Anil Alluri , Michael Kuchenbecker LinkedIn operates one of the world’s largest Apache Hadoop big data clusters. These SSH-based processes consumed resources, negatively impacting our server and service performance. The active namenode count should be one.

Big Data 92

Big Data Hadoop Metadata Data 92

Cloudera

FEBRUARY 9, 2023

Special co-author credits: Adam Andras Toth, S oftware Engineer Intern With enterprises’ needs for data analytics and processing getting more complex by the day, Cloudera aims to keep up with these needs, offering constantly evolving, cutting-edge solutions to all your data related problems.

SQL 78

SQL Kafka Aggregated Data Architecture 78

Cloudera

JANUARY 14, 2021

This blog is the final post of a 4-part series. You can read the first blog posts, here: 1. This retailer deployed Cloudera DataFlow to tap real-time streaming data from thousands of cold storage sensors across its vast network of brick-and-mortar stores. Get to Know Your Retail Customer: 2.

Food 69

Food Retail Aggregated Data Machine Learning 69

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Python Kafka Java 107

DoorDash Engineering

OCTOBER 17, 2023

SRM represents one of the most egregious data quality issues in A/B tests because it fundamentally compromises the basic assumption of random assignment. For example, if two reasonably sized groups are expected to be split 50/50, but instead show a 55/45 split, the assignment process likely is compromised.

Education 87

Education Kafka Algorithm Data Warehouse 87

LinkedIn Engineering

DECEMBER 20, 2023

At LinkedIn, trust is the cornerstone for building meaningful connections and professional relationships. 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.

Building 91

Building Algorithm Kafka Machine Learning 91

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

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline? What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Snowflake

JUNE 22, 2023

Discovering what the product should be A data product is a reusable building block built to deliver data, or insights from that data, for a specific purpose—in other words, use. A data product is designed for use, as opposed to an asset which might only be stored and protected. Source-aligned data products.

Building 52

Building Business Analyst Aggregated Data Data 52

Rockset

DECEMBER 22, 2020

The reason it’s so popular is because of how it indexes data so it’s efficient for search. There are ways to build relationships in Elasticsearch documents, most common are: nested objects, parent-child joins, and application side joins. To do this we will need to build three separate queries.

SQL 40

SQL Data MongoDB Aggregated Data 40

Rockset

AUGUST 12, 2019

The real-time journey typically starts with live dashboards on real-time data and soon moves to automating actions on that data with applications like instant personalization, gaming leaderboards and smart IoT systems.

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

Knowledge Hut

OCTOBER 13, 2023

Regularly update them to ensure that your reports are always using the latest data. As you clean and transform your data, it's important to document the steps that you take. It is important to regularly check the quality of your data to ensure that it is free of errors and inconsistencies. Read Power BI blogs and articles.

BI 52

BI Business Analyst Datasets Raw Data 52

Snowflake

FEBRUARY 6, 2023

The mantra is “earn your turns.” Now think of the growing demand for data and insights. Traditionally, organizations relied on central data teams, often residing within IT, to build data pipelines and deliver data—or even central analytics teams to deliver the insights themselves. A gray area remained.

Government 65

Government Data Data Pipeline Architecture 65

Lyft Engineering

SEPTEMBER 27, 2022

This pipeline ingests tens of millions of events per second and processes them into machine learning features. To build such pipelines, we decomposed the feature generation pipeline into two (see Figure 4). The second type of pipeline ingests Kafka topics and aggregates data into standard ML features.

Kafka 52

Kafka Aggregated Data Machine Learning Architecture 52

Scott Logic

JULY 26, 2023

My colleague Oliver Cronk has set out some of the principal risks in this blog post. In this blog post, I’ll provide an overview of how it worked. Having processed the response, the Knowledge Graph presents in code form the best next question to ask the customer, which the LLM translates back into natural language.

Banking 52

Banking Aggregated Data Retail Architecture 52

AltexSoft

MAY 12, 2021

In this article, we’ll share key take-aways from our recent experience in building a prototype of a decision support tool that performs three tasks: lung segmentation, pneumothorax detection and localization, and. Computer vision is a subset of artificial intelligence that focuses on processing and understanding visual data.

Medical 72

Medical Healthcare Datasets Machine Learning 72

AltexSoft

JANUARY 26, 2022

If we take the more traditional approach to data-related jobs used by larger companies, there are different specialists doing narrowly-focused tasks on different sides of the project. Data engineers build data pipelines and perform ETL — extract data from sources, transform it, and load it into a centralized repository like a data warehouse.

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

FEBRUARY 16, 2024

This proactive approach ensures that Klarna can promptly resolve any integration issues, preserving revenue, building trust with partners, and providing end customers with a superior shopping experience. They also wanted the capability to add new metrics, data points and run ad-hoc analysis as they continued to build out real-time monitoring.

Architecture 59

Architecture SQL Data Warehouse Database 59

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

U-Next

SEPTEMBER 7, 2022

To provide meaningful business insights, it collects and manages data from a variety of sources. An electronic database consists of a large amount of information that can be queried and analyzed rather than processed for transactions. In other words, it is the process of converting data into information. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 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

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

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. Kafka APIs.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

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

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

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

Netflix Tech

DECEMBER 10, 2018

Secondly, we utilize various signals and aggregate data such as understanding of content popularity on Netflix to enable highly relevant ads. The browser would need to fetch much more denormalized data than it would ever use. Instead of building these custom endpoints, we opted for GraphQL as the middle layer of the app.

Coding 111

Coding Aggregated Data Utilities Architecture 111

Cloudera

NOVEMBER 8, 2017

Building a full customer 360 requires aggregating data sets into a single view. This is a huge step in helping reduce fraud in mobile commerce given that DOCOMO Digital processes more than €3 billion in transactions annually. You can also read about Cloudera Data Science and Engineering here.

Machine Learning 40

Machine Learning Aggregated Data Algorithm Data Science 40

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

Picnic Engineering

SEPTEMBER 8, 2022

Confluent RabbitMQ Source Connector Apache Kafka Connect provides a vast ecosystem of open-source and proprietary connectors to source and sink data. In Picnic we heavily rely on them to simplify processing in our setup with the strictest SLA, the internal services pipeline.

Kafka 52

Kafka Metadata AWS Java 52

Netflix Tech

APRIL 26, 2022

We will share how its design has evolved over the years and the lessons learned while building it. Our machine learning models train on several weeks of data. Thus, if we want to run an experiment with a new or modified feature encoder, we need to build several weeks of feature data with this new or modified feature encoder.

Metadata 75

Metadata Datasets Machine Learning Designing 75

Cloudera

NOVEMBER 9, 2018

Building the foundation of safe cities. These digital tools will allow them to: Effectively aggregate data from various systems and organizations to support multi-functional analytic applications. Cost-effectively ingest, store and utilize data from all IoT devices.

Machine Learning 56

Machine Learning Banking Government Media 56

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

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