LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. Today, we’re excited to open source this tool so that other Avro and Tensorflow users can use this dataset in their machine learning pipelines to get a large performance boost to their training workloads.

Datasets 102

Datasets Bytes Process Data Ingestion 102

Towards Data Science

MARCH 5, 2024

Like a dragon guarding its treasure, each byte stored and each query executed demands its share of gold coins. Join as we journey through the depths of cost optimization, where every byte is a precious coin. It is also possible to set a maximum for the bytes billed for your query. Photo by Konstantin Evdokimov on Unsplash ?

Bytes 70

Bytes Google Cloud Cloud Storage Utilities 70

ProjectPro

JANUARY 31, 2023

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. Data Variety Hadoop stores structured, semi-structured and unstructured data. Hardware Hadoop uses commodity hardware.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

NOVEMBER 22, 2021

What's the difference between an RDD, a DataFrame, and a DataSet? RDDs contain all datasets and dataframes. It's useful when you need to do low-level transformations, operations, and control on a dataset. If you want a greater level of type safety at compile-time, or if you want typed JVM objects, Dataset is the way to go.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JANUARY 31, 2022

Databricks Snowflake Projects for Practice in 2022 Dive Deeper Into The Snowflake Architecture FAQs on Snowflake Architecture Snowflake Overview and Architecture With Data Explosion, acquiring, processing, and storing large or complicated datasets appears more challenging. Snowflake offers no built-in virtual private networking.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

JUNE 29, 2021

Specifically designed for Hadoop. Message Broker: Kafka is capable of appropriate metadata handling, i.e., a large volume of similar types of messages or data, due to its high throughput value. Spark allows recovery of partitions using Cache and RDD (resilient distributed dataset) Kafka does not provide any interactive modes.

Kafka 40

Kafka Bytes Big Data Java 40