Rockset

AUGUST 28, 2023

We founded Rockset to empower everyone from Fortune 500 to a five-person startup to build powerful search and AI applications and scale them efficiently in the cloud. How to onboard more developers fast and increase development speed. Developments in AI are happening at light speed.

Metadata 78

Metadata Unstructured Data SQL Database 78

AltexSoft

OCTOBER 21, 2022

In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. As Jay Kreps , the original author of the streaming solution, put it, “ I thought that since Kafka was a system optimized for writing, using a writer’s name would make sense. What Kafka is used for. What is Kafka?

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Confluent

FEBRUARY 27, 2019

Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., Developers also need to make choices on the dark art of state management. What is FaaS? Next Steps.

Kafka 109

Kafka AWS Architecture Cloud 109

Rockset

MARCH 27, 2023

However, it’s difficult to talk about their differences in terms of “features”, because you can use either for almost any relevant use case. Stream processing systems are rarely used as persistent storage. This information would be used to compute the average temperature for each sensor over the specified time period or window.

Database 52

Database Process Scala SQL 52

Confluent

MAY 22, 2019

What protocols do the devices use to communicate? What follows is an example of such a system, using existing best-in-class technologies. Most IoT-based applications (both B2C and B2B) are typically built in the cloud as microservices and have similar characteristics. For delivering this data one widely used protocol is MQTT.

Kafka 96

Kafka Google Cloud NoSQL Entertainment 96

ProjectPro

AUGUST 24, 2021

Top 20+ Data Engineering Projects Ideas for Beginners with Source Code [2023] We recommend over 20 top data engineering project ideas with an easily understandable architectural workflow covering most industry-required data engineer skills. This big data project discusses IoT architecture with a sample use case.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Confluent

FEBRUARY 13, 2019

Once settled on the event streaming approach, I’ll provide a high-level dataflow of how we design systems for payment processing at scale using this approach. Do I need to use a microservices framework? This makes them easier to develop and amenable to change. Data models need to be developed in relation to use cases.

Architecture 89

Architecture Programming Kafka Database-centric 89

Confluent

OCTOBER 23, 2019

If you’ve worked with the Apache Kafka ® and Confluent ecosystem before, chances are you’ve used a Kafka Connect connector to stream data into Kafka or stream data out of it. While there is an ever-growing list of connectors available—whether Confluent or community supported?you for example, those listed on the Confluent Hub ?developers

Kafka 15

Kafka Cloud Storage Cloud Database 15

ProjectPro

JUNE 29, 2021

What is Kafka used for? To consume messages from a consumer group, ‘-group’ command has to be used. Can Kafka be used without a ZooKeeper? By default, the producer selects the next partition to take up message data using a round-robin approach. How to study for Kafka interview? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

Rockset

DECEMBER 9, 2021

Lifting-and-shifting their big data environment into the cloud only made things more complex. The modern data stack introduced a set of cloud-native data solutions such as Fivetran for data ingestion, Snowflake, Redshift or BigQuery for data warehousing , and Looker or Mode for data visualization.

Transportation 52

Transportation BI SQL Data Warehouse 52