Confluent

JUNE 13, 2019

Having a couple of Python libraries for reading and writing data. Much of the code used by modern astronomers is written in Python, so the ZTF alert distribution system endpoints need to at least support Python. We built our alert distribution code in Python, based around Confluent’s Python client for Apache Kafka.

Kafka 102

Kafka Python Bytes Data Pipeline 102

Ascend.io

MAY 24, 2023

This article is based on a presentation given by Sarwat Fatima , Principal Data Engineer at Biome Analytics, at the Data Pipeline Automation Summit 2023. Dive right into Sarwat’s full presentation at the Data Pipeline Automation Summit 2023. Split transform components if transformations significantly change the data schema.

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

ProjectPro

NOVEMBER 22, 2021

It's easier to use Python's expressiveness to modify data in tabular format, thanks to PySpark's DataFrame API architecture. Apart from this, Runtastic also relies upon PySpark for their Big Data sanity checks. This enables them to integrate Spark's performant parallel computing with normal Python unit testing.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JANUARY 31, 2023

Map tasks deal with mapping and data splitting, whereas Reduce tasks shuffle and reduce data. Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. When to use MapReduce with Big Data. Metadata for a file, block, or directory typically takes 150 bytes.

Big Data 52

Big Data Hadoop Relational Database AWS 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