Rockset

MARCH 1, 2023

Rockset introduces a new architecture that enables separate virtual instances to isolate streaming ingestion from queries and one application from another. Benefits of Compute-Compute Separation In this new architecture, virtual instances contain the compute and memory needed for streaming ingest and queries.

Architecture 59

Architecture AWS SQL Cloud Storage 59

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

WeCloudData

OCTOBER 19, 2021

Furthermore, one cannot combine and aggregate data from publicly available job boards into custom graphs or dashboards. The client needed to build its own internal data pipeline with enough flexibility to meet the business requirements for a job market analysis platform & dashboard.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

WeCloudData

OCTOBER 19, 2021

Furthermore, one cannot combine and aggregate data from publicly available job boards into custom graphs or dashboards. The client needed to build its own internal data pipeline with enough flexibility to meet the business requirements for a job market analysis platform & dashboard.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

Confluent

FEBRUARY 6, 2019

The serving and monitoring infrastructure need to fit into your overall enterprise architecture and tool stack. Say you wanted to build one integration pipeline from MQTT to Kafka with KSQL for data preprocessing, and use Kafka Connect for data ingestion into HDFS, AWS S3 or Google Cloud Storage, where you do the model training.

Machine Learning 107

Machine Learning Python Kafka Java 107

AltexSoft

OCTOBER 21, 2022

The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. Kafka architecture. But for high availability and data loss prevention, it’s recommended that you have at least three brokers.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Rockset

AUGUST 25, 2021

Instead, if you can “rollup” data as it is being generated, then you can define metrics that can be tracked in real time across a number of dimensions with better performance and lower cost. This greatly reduces both the amount of data stored and the compute for queries. Efficiency.

Aggregated Data 52

Aggregated Data Hadoop SQL Data Lake 52