Confluent

JUNE 13, 2019

Astronomers need to be able to collect, process, characterize, and distribute data on these objects in near real time, especially for time-sensitive events. The data from these detections are then serialized into Avro binary format. Some phenomena, like supernova “shock breakouts,” may only last on the order of minutes.

Kafka 101

Kafka Bytes Data Pipeline Python 101

Ascend.io

MAY 24, 2023

Split transform components if transformations significantly change the data schema. Future Outlook In the vast and complex world of data, building and managing scalable healthcare data pipelines is an imperative skill for all data engineering professionals.

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

ProjectPro

NOVEMBER 22, 2021

show(truncate=False) #Drop duplicates on selected columns dropDisDF = df.dropDuplicates(["department","salary"]) print("Distinct count of department salary : "+str(dropDisDF.count())) dropDisDF.show(truncate=False) } Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Q6.

Hadoop 52

Hadoop Python Datasets Metadata 52

Confluent

SEPTEMBER 27, 2019

This gives operators a centralized location to enforce data format correctness within Confluent Platform. Enforcing data correctness on write is the first step towards enabling centralized policy enforcement and data governance within your event streaming platform. Why centralized data governance is important.

Kafka 15

Kafka Data Governance Bytes Government 15

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