Pinterest Engineering

MAY 2, 2023

So our user sequence real-time indexing pipeline is composed of a Flink job that reads the relevant events as they come into our Kafka streams, fetches the desired features for each event from our feature services, and stores the enriched events into our KV store system. Handles out-of-order inserts.

Lambda Architecture 66

Lambda Architecture Datasets Software Engineer Software Engineering 66

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

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these key value stores generally allow storing any data under a key).

Media 94

Media Database Metadata Data Schemas 94

Monte Carlo

MARCH 2, 2023

Otherwise you may produce more data anomalies than you prevent. Data Contracts Image courtesy of Andrew Jones. You can think of data contracts as circuit breakers, but for data schemas instead of the data itself. If you are conducting a post mortem, by definition the data anomaly has already occurred.

Food 52

Food Data SQL Data Pipeline 52

Cloudera

JULY 26, 2021

The alleviation of infrastructure and computational constraints associated with solely on-premises data platforms; Data Products can now use different deployment models (e.g., The proliferation of real-time processing by deploying event-driven architectures (e.g., Deep Java Learning, Apache Spark 3.x,

Generalist 119

Generalist Telecommunication Healthcare Data 119

AltexSoft

OCTOBER 3, 2022

A knowledge graph is a way to integrate data coming from a variety of disjointed sources in the network that connects different data entities — objects, people, events, situations, or abstract concepts — and depicts their semantic relationships. Knowledge graphs for organizing data over the internet.

Relational Database 52

Relational Database Banking Media Computer Science 52

ProjectPro

NOVEMBER 22, 2021

show(truncate=False) #Drop duplicates on selected columns dropDisDF = df.dropDuplicates(["department","salary"]) print("Distinct count of department salary : "+str(dropDisDF.count())) dropDisDF.show(truncate=False) } Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Q6.

Hadoop 52

Hadoop Python Datasets Metadata 52

Confluent

MAY 28, 2019

Part 1 of this blog series by Gwen Shapira explained the benefits of schemas, contracts between services, and compatibility checking for schema evolution. In particular, using Confluent Schema Registry makes this really easy for developers to use schemas, and it is designed to be highly available. Bad designs.

Management 82

Management Kafka Java Certification 82

Zalando Engineering

SEPTEMBER 8, 2021

With the ambitions of the Interface Framework as presented in the first blog post , we did not want to just stop at serving multiple HTML pieces, we wanted more: Implemented once, works anywhere - UI blocks should work in different contexts and be context-aware, not context-bound. All Renderers are implemented using TypeScript.

Engineering 52

Engineering Computer Science Data Schemas Coding 52

Netflix Tech

OCTOBER 31, 2018

the Media Timeline Data Model In the previous post in this series, we described some important Netflix business needs as well as traits of the media data system?—?called The curious reader might have noticed that a majority of these characteristics relate to properties of the data managed by NMDB.

Media 54

Media Metadata Data MongoDB 54

Monte Carlo

APRIL 20, 2023

What are the data lineage use cases and best practices that will drive value for the business? Here is a list of 17 valuable data lineage use cases that can help improve data quality, incident management, democratization, system modernization, and compliance. We’re glad you asked.

Data Warehouse 52

Data Warehouse BI Data Government 52