Rockset

APRIL 26, 2023

This architecture has a few key components: Streaming data : Streaming data is generated by website activity and transported to Rockset via Confluent Cloud. This could be a cloud data warehouse, a data lake, or a database. This pricing model reduces risk for the insurer and reduces policy prices for the consumer.

Architecture 52

Architecture Transportation Data Lake Insurance 52

Snowflake

AUGUST 16, 2023

The Snowflake Native App Framework remains available in private preview on Google Cloud Platform and Azure. Build your own pricing strategy for your Snowflake Native Apps – public preview Snowflake offers a range of monetization options, from subscription-based models to usage-based models priced per month or per query.

Scala 52

Scala Transportation Kafka Data Lake 52

Confluent

JUNE 27, 2019

Confluent’s clients for Apache Kafka ® recently passed a major milestone—the release of version 1.0. Magnus Edenhill first started developing librdkafka about seven years ago, later joining Confluent in the very early days to help foster the community of Kafka users outside the Java ecosystem. Serialization. Getting started.

Kafka 106

Kafka Designing Java Coding 106

Rockset

OCTOBER 21, 2022

Send event data to Kafka The easiest way to get set up is to create a Confluent Cloud cluster with 2 Kafka topics: user_activity user_purchases Alternatively, you can find instructions on how to set up the cluster in the Confluent-Rockset workshop. In my workshop, I used Mockaroo data and sent that to Kafka.

Kafka 52

Kafka Building SQL Database 52

Rockset

MAY 3, 2023

To find out, we decided to test the streaming ingestion performance of Rockset’s next generation cloud architecture and compare it to open-source search engine Elasticsearch , a popular sink for Apache Kafka. We selected Elastic Elasticsearch on Azure as it is a cloud that offers Intel Ice Lake processors. How did we do it?:

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Rockset

JANUARY 3, 2023

We predict that streaming data will become more accessible and usable with education and training programs, along with cloud-native systems, that break down barriers to access. Danica Fine, a Senior Developer Advocate at Confluent, echoes this sentiment: “This year, the concept of data as a product will become more mainstream.

Data Warehouse 52

Data Warehouse Education Database Data 52

Data Engineering Weekly

MARCH 26, 2023

Come and hear talks from companies like StarTree, Confluent, LinkedIn, DoorDash, Imply, and Uber on how they are advancing the state-of-the-art in user-facing analytics delivered instantly. This approach enables Lyft to optimize its services, including dispatching, pricing, and routing.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

Rockset

OCTOBER 11, 2022

Rockset, on the other hand, is a cloud-native database, removing a lot of the tooling and overhead required to get data into the system. Confluent and Elastic partnered in the release of the Kafka Elasticsearch Service Sink Connector , available to companies using both the managed Confluent Kafka and Elastic Elasticsearch offerings.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Rockset

MARCH 27, 2023

Confluent Cloud and ksqlDB As of today, Confluent Cloud’s primary stream processing offering is ksqlDB , which combines KSQL’s familiar SQL-esque syntax with additional features such as connectors, a persistent query engine, windowing, and aggregation. For a deeper dive on this topic, check out this blog.

Database 52

Database Process Scala SQL 52

Rockset

APRIL 15, 2022

Machine sensor readings, stock prices and other time-ordered data are gathered and transmitted to databases or data warehouses, which physically store them in time-series order for fast retrieval or analysis. So why are their analytics still crawling through in batches instead of real time? This has some benefits.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

Monte Carlo

SEPTEMBER 12, 2023

The current data stack As an AWS shop, the key components of the Whatnot data stack include Snowflake, dbt Cloud for transformation, Dagster for orchestration, Segment as a customer data platform, Confluent for managed Kafka, Rockset for real time aggregations, and Sigma+Hex for presentation.

Machine Learning 52

Machine Learning Data Entertainment SQL 52

Confluent

OCTOBER 3, 2019

Example of article extraction on Introducing a Cloud-Native Experience for Apache Kafka ® in Confluent Cloud. As part of our journey, we moved Scrapinghub AutoExtract to the cloud with Confluent Cloud. Why move to the cloud? Choosing Confluent Cloud. Reasons to choose Confluent Cloud.

Kafka 15

Kafka Cloud Amazon Web Services Google Cloud 15

Rockset

AUGUST 28, 2023

Here we track every click to every product in our webshop, and then ingest this data into Rockset via Confluent Cloud. Each use case can have its own virtual instance, ensuring that a production workload remains stable and performant, with the best price-performance for that workload.

AWS 52

AWS SQL Datasets Metadata 52

Confluent

SEPTEMBER 26, 2019

Among these are Confluent Schema Registry , which ensures the right message structure, and KSQL for continuous stream processing on data streams, such as filtering, transformations, and aggregations using simple SQL commands. Kafka’s ecosystem also includes other valuable components, which are used in most mission-critical projects.

Kafka 21

Kafka BI SQL Datasets 21

Confluent

MAY 21, 2019

For example, you can deploy a new dynamic pricing service by simply reading events that represent current demand, using them to calculate new prices, and publishing the new prices to an existing topic, where they will be picked up by a mobile application. These are the roots from which Confluent Schema Registry evolved.

Kafka 110

Kafka Insurance Architecture Database 110

Confluent

MARCH 4, 2019

Cloud is one of the key drivers for innovation. But to perform all this experimentation; companies cannot wait weeks or even months for IT to get them the appropriate infrastructure so they can start innovating, hence why cloud computing is becoming a standard for new developments. But cloud alone doesn’t solve all the problems.

Cloud 88

Cloud Banking Kafka NoSQL 88

Precisely

JUNE 12, 2023

As companies have modernized their systems to adapt, many have chosen to move to the cloud. According to McKinsey , businesses that have taken the lead on cloud migration tend to outperform their peers. Data silos create significant barriers to cloud transformation. New technologies are delivering transformational results.

Insurance 52

Insurance Cloud Building Data Integration 52

Confluent

SEPTEMBER 30, 2019

These are the typical reasons for running in the cloud. There is fantastic news if you’re just coming up to speed on Kafka: we are eliminating these challenges and lowering the entry barrier for Kafka by making Kafka serverless and offering Confluent Cloud for free*. Free Kafka as a service. Kafka made serverless.

Kafka 19

Kafka Cloud Amazon Web Services Google Cloud 19

Confluent

SEPTEMBER 20, 2019

Luckily for on-premises scenarios, a myriad of deployment options are available, such as the Confluent Platform which can be deployed on bare metal, virtual machines, containers, etc. Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new.

Kafka 21

Kafka Management Cloud AWS 21

Confluent

SEPTEMBER 25, 2019

It’s also a unifying idea behind the larger set of technology trends we see today, such as machine learning, IoT, ubiquitous mobile connectivity, SaaS, and cloud computing. Anything that happens—a user login attempt, a purchase, a change in price, etc. I believe the answer starts with the concept of events and event streams.

Database-centric 56

Database-centric Pipeline-centric Kafka Retail 56

Confluent

FEBRUARY 13, 2019

I’m limited to space so will briefly mention Confluent Schema Registry , data evolution (schema evolution), change data capture (data virtualization), event collaboration and coordination primitives , streaming patterns, evolutionary architectures, disposable architectures and event tracing (correlation IDs). The future of programming.

Architecture 90

Architecture Programming Kafka Database-centric 90

Confluent

JULY 3, 2019

In order to achieve our targets, we’ll use pre-built connectors available in Confluent Hub to source data from RSS and Twitter feeds, KSQL to apply the necessary transformations and analytics, Google’s Natural Language API for sentiment scoring, Google BigQuery for data storage, and Google Data Studio for visual analytics.

Data Analysis 21

Data Analysis Kafka Datasets Java 21

Confluent

SEPTEMBER 12, 2019

Now that there’s a ubiquitous open source Apache Kafka, an enterprise-ready Confluent Platform, and a robust and increasingly featureful Confluent Cloud, the way we build systems is changing. Well, it’s Confluent’s fifth birthday, and birthdays are always a good time for looking back and looking forward. Nobody I knew.

Kafka 10

Kafka ETL System Architecture Retail 10