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Reducing Apache Spark Application Dependencies Upload by 99%

LinkedIn Engineering

We execute nearly 100,000 Spark applications daily in our Apache Hadoop YARN (more on how we scaled YARN clusters here ). Every day, we upload nearly 30 million dependencies to the Apache Hadoop Distributed File System (HDFS) to run Spark applications. Yarn Shared Cache is a common example of a cluster-level cache implementation.

Hadoop 124
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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

Brand-new virtualized private network connections allowed users to share access to the same physical infrastructure. The Hadoop framework was developed for storing and processing huge datasets, with an initial goal to index the WWW. Big Data” became a topic of conversations and the term “Cloud” was coined. .

Cloud 85
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Auditing to external systems in CDP Private Cloud Base

Cloudera

Anybody who is storing customer information, healthcare, financial or sensitive proprietary information will need to ensure they are taking steps to protect that data and that includes detecting and preventing inadvertent or malicious access. All user accesses are authenticated via Kerberos/SPNEGO or SAML in both Public and Private Cloud.

Systems 73
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Azure Data Engineer Skills – Strategies for Optimization

Edureka

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required. Who is an Azure Data Engineer?

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Cloudera’s and Hortonworks’ data platform in the cloud named among Leaders in new Forrester Wave

Cloudera

We believe this has been validated by The Forrester Wave TM : Cloud Hadoop/ Spark Platforms, Q1 2019 report, which listed Cloudera and Hortonworks (more later about this) in the Leaders category. Download The Forrester Wave TM : Cloud Hadoop and Spark (HARK) report to see the complete breakdown of categories and scores.

Cloud 56
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Data Engineering Annotated Monthly – September 2021

Big Data Tools

Improve YARN Registry DNS Server qps – In massive Hadoop clusters, there may be a lot of DNS queries. People should be able to access and, more importantly, use data that is not sensitive from a security or privacy standpoint. Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news!

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Data Engineering Annotated Monthly – September 2021

Big Data Tools

Improve YARN Registry DNS Server qps – In massive Hadoop clusters, there may be a lot of DNS queries. People should be able to access and, more importantly, use data that is not sensitive from a security or privacy standpoint. Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news!