LinkedIn Engineering

JANUARY 19, 2024

Co- Authors: Aditya Hedge and Saumi Bandyopadhyay 2022 was a year driven by change for the Talent Acquisition industry, with nearly 50k company mergers and acquisitions completed worldwide. Figure 2 captures the dependency of all the major entities. Apache Kafka - A distributed event streaming platform.

Recruitment 88

Recruitment Data Process Process Kafka 88

DoorDash Engineering

APRIL 12, 2023

Metrics are vital for measuring success in any data-driven company, but ensuring that these metrics are consistently and accurately measured across the organization can be challenging. Data modeling Our platform requires access to data at the raw fact or event level, not just the aggregates.

SQL 82

SQL Metadata Raw Data Government 82

Rockset

MAY 17, 2019

By adding the questions with Javascript, we only have to write the HTML and event handlers once. We'll generate this field as a random identifier for the visitor on page load: function onPageLoad() { vote['_id'] = 'user' + Math.floor(Math.random() * 2**32); } Now let's run through the previous scenario again. Now let's put it to use!

Building 52

Building SQL NoSQL Data 52

dbt Developer Hub

NOVEMBER 3, 2022

Let’s discuss how to convert events from an event-driven microservice architecture into relational tables in a warehouse like Snowflake. In this blog post we’ll dive into how we tackled one source of quality issues: directly relying on upstream database schemas. What are Events?

Kafka 52

Kafka ETL Tools BI Database 52

Rockset

JUNE 23, 2020

When building data-driven applications, it’s been a common practice for years to move analytics away from the source database into either a slave, data warehouse or something similar. 3 shows the initial scan of my logs table reporting that it has found 4000 records but 0 have been processed.

MongoDB 40

MongoDB SQL Database Datasets 40

ProjectPro

FEBRUARY 19, 2021

For such cases with more than one independent variable, we have multiple linear regression and the equation for it goes like this - y = a + bX + cX 2 + dX 3 …… where X 1 , X 2 , X 3 are all explanatory variables and a, b, c are regression coefficients. Table of Contents What is Regression Analysis?

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40

Rockset

FEBRUARY 14, 2020

tesla-integration" You’ll notice in the results that not only will you see the lat and long you sent to the Kafka topic but some metadata that Rockset has added too including an ID, a timestamp and some Kafka metadata, this can be seen in Fig 2. js to visualise our location data and plot it in real time as the car is being driven.

Kafka 40

Kafka SQL Metadata Bytes 40

ProjectPro

OCTOBER 20, 2021

So right before we start, I would like to let you know that the focus of this blog is to get you started for interviews and give you exposure to what is the latest in the field of Artificial Intelligence. 2) What are some ways to implement AutoML? This is used in social media to better gauge sentiments towards an event or a product.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Netflix Tech

JULY 26, 2021

This configuration driven platform decreases the significant lead time when creating a new pipeline, while offering new support features like end-to-end schema evolution, self-serve UI and secure data access. Change Data Capture(CDC) source connector reads from studio applications’ database transaction logs and emits the change events.

Data 101

Data Data Pipeline MySQL Data Warehouse 101

Confluent

JULY 10, 2019

As discussed in part 2, I created a GitHub repository with Docker Compose functionality for starting a Kafka and Confluent Platform environment, as well as the code samples mentioned below. Spock allows us to use the @Unroll annotation to define data tables for data-driven testing, defined using the where: clause in the spec below.

Kafka 86

Kafka Java Bytes SQL 86

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. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Netflix Tech

FEBRUARY 9, 2022

Example: 0 0 * * MON /home/alice/backup.sh More commonly, teams will opt to do more testing to try and catch regressions before deploying to production and will accept the extra burden of rebuilding all of their workflow dependencies in the event of a regression. See below diagram: Figure 2. Simple right?

Data Pipeline 80

Data Pipeline Management Scala Python 80

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. Four pillars of event streaming. Pillar 2 – Instrumentation plane: Business metrics. Pillar 4 – Operational plane: Event logging, DLQs and automation. Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture.

Kafka 92

Kafka Pipeline-centric Architecture Database-centric 92