AltexSoft

SEPTEMBER 19, 2023

By harnessing internal data sources, travel businesses can develop personalized services that cater to their customers’ ever-evolving needs, as well as optimize their operations, enhance marketing strategies, and improve resource allocation, ultimately driving growth and profitability.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka. To accomplish this we can use Kafka streams and KSQL.

Kafka 40

Kafka Database Process SQL 40

Towards Data Science

APRIL 30, 2024

Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. The service promises to ensure correctness and latency regardless of how big your workload is. Where in event time they are being computed. Implementation and designs of the model.

Google Cloud 63

Google Cloud Process Cloud Lambda Architecture 63

Confluent

JUNE 26, 2019

In these projects, microservice architectures use Kafka as an event streaming platform. These are joined together with events, creating a unidirectional dependency graph that decouples each bounded context from those that arise downstream, to create rich event streaming business applications. Martin Fowler.

Kafka 109

Kafka Designing Architecture ETL Tools 109

Cloudera

MARCH 2, 2022

Simudyne, a Cloudera partner, provides software that makes it easy for institutions to create the models and run the simulations and scenarios they need to better predict and anticipate events including economic and market events. It has been argued that phase transitions may have emerged as responses to unpredictable events. .

Management 95

Management Banking Portfolio Government 95

Monte Carlo

NOVEMBER 8, 2023

And in the irreducibly complex infrastructure of AI, two critical components provide the backbone of enterprise-ready AI: unstructured streaming data and vector databases. “To Keep an eye on the Monte Carlo blog for updates! Both integrations will be available early 2024.

Kafka 64

Kafka Database High Quality Data Datasets 64

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Generalist 117

Generalist Telecommunication Healthcare Data 117

Picnic Engineering

MARCH 28, 2023

Last time , we looked at the internal services data pipeline. FCA’s backbone is a number of interconnected conveyor belts, which move products and groceries around the facility. Pipeline overview Since the TS is an externally developed hardware and software system, Picnic cannot change it to expose analytics events directly.

Kafka 52

Kafka Transportation Data Warehouse Database 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. Data Sourcing: Building pipelines to source data from different company data warehouses is fundamental to the responsibilities of a data engineer.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. This model is completely free form, we can build anything provided that we apply mechanical sympathy with the underlying system behavior. Four pillars of event streaming. Building the KPay payment system. Putting it all together.

Kafka 93

Kafka Pipeline-centric Architecture Database-centric 93

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. Additionally, as was described in the previous blog article , every DS is associated with a schema for the data it stores.

Media 94

Media Database Metadata Data Schemas 94

Rockset

DECEMBER 19, 2023

This blog post distills his decade of experience into a comprehensive read, offering a detailed overview of the complexities and innovations at every stage of building a real-world recommender system. Infrastructure Challenges: The backbone of these systems frequently involves inverted indices.

Systems 52

Systems Machine Learning Deep Learning Media 52

Zalando Engineering

JANUARY 22, 2018

Building an aggregated view of data in the event-driven microservice architecture In the world of microservices, where a domain model gets decomposed into related, but independently handled entities, we often face the challenge of building an aggregate view of the data that brings together different parts of that model.

Media 40

Media Kafka Architecture Designing 40

Data Engineering Weekly

JULY 30, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. link] All Things Distributed: Building and operating a pretty big storage system called S3.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52