Knowledge Hut

MAY 3, 2024

Many data analysis, manipulation, machine learning, and deep learning libraries are written in Python, and hence it has gained popularity in the big data ecosystem. Python is one of the de-facto languages of Data Science. It is a simple, open-source, general-purpose language and is very easy to learn.

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Scala Java Python Programming Language 52

Data Engineering Podcast

JUNE 11, 2021

Summary Google pioneered an impressive number of the architectural underpinnings of the broader big data ecosystem. In this episode Lak Lakshmanan enumerates the variety of services that are available for building your various data processing and analytical systems.

Google Cloud 100

Google Cloud Cloud Big Data Ecosystem BI 100

AltexSoft

JUNE 26, 2023

Both data integration and ingestion require building data pipelines — series of automated operations to move data from one system to another. For this task, you need a dedicated specialist — a data engineer or ETL developer. Data engineering explained in 14 minutes.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Towards Data Science

MAY 30, 2023

I have spent many years in Data Engineering on Big Data solutions, and one of the tasks that we had do regularly was to perform spatial joins of human movement data through multiple polygons. ORC is often overlooked in favour of Parquet but offers features that can outperform Parquet on certain systems.

Data Engineering 73

Data Engineering Data Engineer Engineering Datasets 73

ProjectPro

MARCH 17, 2014

Recommended Reading: Apache Kafka Architecture and Its Components-The A-Z Guide Kafka vs RabbitMQ - A Head-to-Head Comparison 15 AWS Projects Ideas for Beginners to Practice Data Lake vs Data Warehouse - Working Together in the Cloud How to Become a Big Data Engineer Big Data Engineer Salary - How Much Can You Make?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

NOVEMBER 11, 2014

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. Apache Spark is an improvement on the original Hadoop MapReduce component of the Hadoop big data ecosystem.

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Hadoop Scala Machine Learning Java 40

ProjectPro

DECEMBER 28, 2021

Spark Streaming was launched in 2013 to enable data engineers and data scientists to process real-time data from SQL databases, Flume, Amazon Kinesis, etc. Discretized Streams, or DStreams, are fundamental abstractions here, as they represent streams of data divided into small chunks(referred to as batches).

Architecture 52

Architecture Kafka Java Scala 52

ProjectPro

JUNE 4, 2015

Big data applications using Apache Hadoop continue to run even if any of the individual cluster or server fails owing to the robust and stable nature of Hadoop. Table of Contents Big Data Hadoop Training Videos- What is Hadoop and its popular vendors? Learn Hadoop to become a Microsoft Certified Big Data Engineer.

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Hadoop Architecture IT Java 52