2022 Blog Data Process Metadata 
LinkedIn Engineering
JANUARY 19, 2024
Co- Authors: Aditya Hedge and Saumi Bandyopadhyay 2022 was a year driven by change for the Talent Acquisition industry, with nearly 50k company mergers and acquisitions completed worldwide. With our new data processing framework, we were able to observe a multitude of benefits, including 99.9%
Data Science Blog: Data Engineering
MAY 20, 2024
They transform data into a consistent format for users to consume. Automated data pipelines eliminate human errors when manipulating data. Data professionals save time spent on data processing transformation. Data Lakes : It supports MS Azure Blob Storage. Mixed approach of DV 2.0
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LinkedIn Engineering
JULY 19, 2023
Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables are governed as per agreed upon company standards.
Cloudera
MARCH 3, 2022
Data users in these enterprises don’t know how data is derived and lack confidence in whether it’s the right source to use. . If data access policies and lineage aren’t consistent across an organization’s private cloud and public clouds, gaps will exist in audit logs. From Bad to Worse.
Cloudera
AUGUST 26, 2021
In addition to big data workloads, Ozone is also fully integrated with authorization and data governance providers namely Apache Ranger & Apache Atlas in the CDP stack. While we walk through the steps one by one from data ingestion to analysis, we will also demonstrate how Ozone can serve as an ‘S3’ compatible object store.
Cloudera
JUNE 18, 2022
The first generation of the Hive Metastore attempted to address the performance considerations to run SQL efficiently on a data lake. It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently.
Cloudera
JUNE 16, 2022
Use cases like fraud detection, network threat analysis, manufacturing intelligence, commerce optimization, real-time offers, instantaneous loan approvals, and more are now possible by moving the data processing components up the stream to address these real-time needs. . Not in the manufacturing space? Not to worry.
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