AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. What is Kafka? What Kafka is used for.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Picnic Engineering

SEPTEMBER 8, 2022

We use the RabbitMQ Source connector for Apache Kafka Connect. One may wonder why don’t we replace RabbitMQ with Apache Kafka everywhere? In order to answer the first question, we should take a closer look at the difference between RabbitMQ and Apache Kafka in terms of services parallelism.

Kafka 52

Kafka Metadata AWS Java 52

Rockset

APRIL 18, 2023

Under the hood, Rockset utilizes its Converged Index technology, which is optimized for metadata filtering, vector search and keyword search, supporting sub-second search, aggregations and joins at scale. Fast Search: Combine vector search and selective metadata filtering to deliver fast, efficient results.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Lyft Engineering

JUNE 28, 2023

At the time of writing, a Mapping team is working to utilize theEvent Driven Decisions product to rebuild Lyft’s Traffic infrastructure by aggregating data per geohash and applying a model. The interface was designed such that a minimal amount of metadata was needed to construct a pipeline object which performs a given capability.

Machine Learning 115

Machine Learning Building Metadata Kafka 115

LinkedIn Engineering

DECEMBER 19, 2023

Figure 3: Generalized rolling upgrade deployment flow Namenode deployment overview The namenode is the central component of HDFS and is responsible for storing the metadata information about files and directories in the HDFS cluster. This metadata includes the namespace, file permissions, and the mapping of data blocks to datanodes.

Big Data 92

Big Data Hadoop Metadata Data 92

Lyft Engineering

SEPTEMBER 27, 2022

The first type of pipeline was mainly for event ingestion, filtration, hydration, and metadata tagging. It produces high-quality signals and publishes them to Kafka topics. The second type of pipeline ingests Kafka topics and aggregates data into standard ML features.

Kafka 52

Kafka Aggregated Data Machine Learning Architecture 52

ProjectPro

NOVEMBER 15, 2021

It was built from the ground up for interactive analytics and can scale to the size of Facebook while approaching the speed of commercial data warehouses. Presto allows you to query data stored in Hive, Cassandra, relational databases, and even bespoke data storage. CMAK is developed to help the Kafka community.

Big Data 52

Big Data Project Metadata Programming Language 52