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Open-Sourcing AvroTensorDataset: A Performant TensorFlow Dataset For Processing Avro Data

LinkedIn Engineering

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. an array within a map, within a union, etc…). Default is 128 * 1024 (128KB).

Datasets 102
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Apache Ozone Fault Injection Framework

Cloudera

The target could be a particular Node (network endpoint), a file-system, a directory, a data-file or a byte-offset range within a given data-file. Introducing Apache Hadoop Ozone. Apache Hadoop Ozone – Object Store Architecture. The post Apache Ozone Fault Injection Framework appeared first on Cloudera Blog.

Hadoop 96
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Top 50 Java Interview Questions for Hadoop Developers

ProjectPro

Hiring managers agree that “Java is one of the most in-demand and essential skill for Hadoop jobs. But how do you get one of those hot java hadoop jobs ? You have to ace those pesky java hadoop job interviews artfully. To demonstrate your java and hadoop skills at an interview, preparation is vital.

Java 40
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Hadoop MapReduce vs. Apache Spark Who Wins the Battle?

ProjectPro

Confused over which framework to choose for big data processing - Hadoop MapReduce vs. Apache Spark. This blog helps you understand the critical differences between two popular big data frameworks. Hadoop and Spark are popular apache projects in the big data ecosystem. Confused Hadoop vs. Spark – Which One is Better?

Hadoop 40
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Data Engineering Weekly #201

Data Engineering Weekly

The blog further gives insight into IDE usage and documentation access. link] Dani: Apache Iceberg: The Hadoop of the Modern Data Stack? The comment on Iceber, a Hadoop of the modern data stack, surprises me. Lack of Byte String Support : It is difficult to handle binary data efficiently.

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The Stream Processing Model Behind Google Cloud Dataflow

Towards Data Science

This blog post is my note after reading the paper: The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing. In the rest of this blog, we will see how Google enables this contribution. Triggering at completion estimates such as watermarks.

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Google BigQuery: A Game-Changing Data Warehousing Solution

ProjectPro

This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. This blog presents a detailed overview of Google BigQuery and its architecture. Due to this, combining and contrasting the STRING and BYTE types is impossible.

Bytes 52