Remove Bytes Remove Data Ingestion Remove Datasets Remove Metadata
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Open-Sourcing AvroTensorDataset: A Performant TensorFlow Dataset For Processing Avro Data

LinkedIn Engineering

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. AvroTensorDataset speeds up data preprocessing by multiple orders of magnitude, enabling us to keep site content as fresh as possible for our members. an array within a map, within a union, etc…).

Datasets 102
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A Definitive Guide to Using BigQuery Efficiently

Towards Data Science

Introduction In the field of data warehousing, there’s a universal truth: managing data can be costly. Like a dragon guarding its treasure, each byte stored and each query executed demands its share of gold coins. But let me give you a magical spell to appease the dragon: burn data, not money! in europe-west3.

Bytes 70
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100+ Big Data Interview Questions and Answers 2023

ProjectPro

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. MapReduce is a Hadoop framework used for processing large datasets.

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50 PySpark Interview Questions and Answers For 2023

ProjectPro

What's the difference between an RDD, a DataFrame, and a DataSet? RDDs contain all datasets and dataframes. If a similar arrangement of data needs to be calculated again, RDDs can be efficiently reserved. It's useful when you need to do low-level transformations, operations, and control on a dataset. Output- Q13.

Hadoop 52
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Top 100 Hadoop Interview Questions and Answers 2023

ProjectPro

Hadoop Framework works on the following two core components- 1)HDFS – Hadoop Distributed File System is the java based file system for scalable and reliable storage of large datasets. Data in HDFS is stored in the form of blocks and it operates on the Master-Slave Architecture. This requires two separate machines.

Hadoop 40