Confluent

JUNE 13, 2019

The data from these detections are then serialized into Avro binary format. The Avro alert data schemas for ZTF are defined in JSON documents and are published to GitHub for scientists to use when deserializing data upon receipt. The cloud-based Kafka system is public facing for other astronomy researchers.

Kafka 102

Kafka Python Bytes Data Pipeline 102

Confluent

SEPTEMBER 27, 2019

Today, nearly everyone uses standard data formats like Avro, JSON, and Protobuf to define how they will communicate information between services within an organization, either synchronously through RPC calls or asynchronously through Apache Kafka ® messages. Schema Validation: How hard is it?

Kafka 16

Kafka Data Governance Bytes Government 16

Monte Carlo

JUNE 26, 2023

After launching our partnership with Databricks last year, Monte Carlo has aggressively expanded our native Databricks and Apache Spark™ integrations to extend data observability into the Delta Lake and Unity Catalog, and in the process, drive even more value for Databricks customers.

Data Lake 52

Data Lake Metadata Bytes Machine Learning 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JANUARY 31, 2023

Map tasks deal with mapping and data splitting, whereas Reduce tasks shuffle and reduce data. Map Reduce programs in cloud computing are parallel, making them ideal for executing large-scale data processing across multiple machines in a cluster. When to use MapReduce with Big Data.

Big Data 52

Big Data Hadoop Relational Database AWS 52