Blog Data Ingestion Hadoop Metadata 
Christophe Blefari
JANUARY 20, 2024
Data engineering inherits from years of data practices in US big companies. Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. What is Hadoop? Is it really modern?
Cloudera
AUGUST 26, 2021
Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Data ingestion through ‘s3’. Ozone Namespace Overview.
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Maxime Beauchemin
JANUARY 20, 2017
In relation to previously existing roles , the data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. This includes tasks like setting up and operating platforms like Hadoop/Hive/HBase, Spark, and the like.
Cloudera
SEPTEMBER 28, 2020
This customer’s workloads leverage batch processing of data from 100+ backend database sources like Oracle, SQL Server, and traditional Mainframes using Syncsort. Data Science and machine learning workloads using CDSW. The customer is a heavy user of Kafka for data ingestion. on roadmap). Instead use Ranger REST API.
Knowledge Hut
SEPTEMBER 29, 2023
Moreover, what benefits can you expect from a career in Azure Data Engineering? This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Join us on this journey through the exciting realm of Azure Data Engineering.
Databand.ai
AUGUST 30, 2023
DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. Accelerated Data Analytics DataOps tools help automate and streamline various data processes, leading to faster and more efficient data analytics.
LinkedIn Engineering
JUNE 15, 2023
In this blog post, we will discuss the AvroTensorDataset API, techniques we used to improve data processing speeds by up to 162x over existing solutions (thereby decreasing overall training time by up to 66%), and performance results from benchmarks and production. The bytes are decoded based on the provided features metadata (i.e.
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