#apache-spark

JWJames Wucalm-engineering-loud-bugs.hashnode.dev

Big Data Analytics Tools: What to Use and When

If you talk to ten data teams about “big data analytics,” you’ll probably hear ten different tool names. Hadoop, Spark, Kafka, TensorFlow, Snowflake, Power BI… Most modern big data stacks are built from the same few layers that work together: How yo...

Feb 611 min read

KBKilian Baccaro Salinasdatagym.es

Sparkwise: Optimización Inteligente para Apache Spark en Microsoft Fabric

Si trabajas con Apache Spark en Microsoft Fabric, probablemente te hayas enfrentado a la complejidad de optimizar configuraciones, reducir costos y mejorar el rendimiento de tus workloads. Sparkwise es una librería de Python diseñada específicamente ...

Jan 98 min read

RCRam Charancharan11.hashnode.dev

Why Apache Spark and Scala Are Perfect for Big Data Analytics

The partnership between Apache Spark and Scala is often considered the "gold standard" in big data engineering. While Spark provides APIs for Python (PySpark), R, and Java, Scala remains the language in which Spark was written and the one that offers...

Jan 63 min read

DYDeepankar Yadavbytesofdeepankar.hashnode.dev

BigQuery: working of "LEAF NODE"

I’ve spent my first week diving into BigQuery's internals. Everyone talks about "serverless," but the real magic happens at the Leaf Node level. If you’re used to Spark Executors or traditional MPP workers, the way BigQuery handles "Leaf Nodes" (also...

Dec 22, 20253 min read

MAMbuotidem Awakmbuotidemawak.hashnode.dev

Fabric Notebook: A Deep Dive into Apache Spark and Runtime Architecture

Processing massive datasets shouldn't require a complex setup or a PhD in distributed systems. At the heart of Microsoft Fabric’s data capabilities lies Apache Spark, the open-source engine known for its speed and scale. Say goodbye to complexity. In...

Dec 10, 202511 min read

TTejthe-evolution-of-data-engineering.hashnode.dev

⭐ The Evolution of Data Engineering: From Databases to Big Data

Introduction Data is everywhere — flowing through applications, streaming from IoT devices, powering analytics dashboards, and feeding AI models. But this wasn’t always the case. Years ago, organizations stored only simple records in databases. Today...

Dec 7, 20254 min read

AKAbhishek Kumarabhi1213.hashnode.dev

The Ultimate SQL vs PySpark Syntax Guide

Sample Dataset (Master Table for Entire Blog) We’ll use two tables because many SQL operations (joins, aggregates, window functions) need multiple datasets. EMPLOYEES Table emp_idnameagedepartmentsalaryjoin_date 1John30HR500002020-01-15 2Smit...

Nov 16, 202520 min read

AKAbhishek Kumarabhi1213.hashnode.dev

Learning PySpark with Databricks

https://spark.apache.org/docs/latest/api/python/reference/pyspark.pandas/series.html Why PySpark? PySpark allows you to use Python — the most popular data language — to write Spark applications. It’s widely used in Data Engineering, Data Analytics,...

Nov 1, 202537 min read

DYDeepankar Yadavbytesofdeepankar.hashnode.dev

Heap Memory

Are you sure you have correct set of memory parameters 😕 Readers ... what is on-heap memory and off-heap memory ?Sir, on heap memory is controlled by JVM and off heap memory is controlled by OS. Good !!! You are correct but that's not it, let's dive...

Oct 12, 20253 min read

ASArun Shanmugam Kumarfreecodecamp.org

How to Read and Write Deeply Partitioned Files Using Apache Spark

If you use Apache Spark to write your data pipeline, you might need to export or copy data from a source to destination while preserving the partition folders between the source and destination. When I researched online on how to do this in Spark, I ...

Aug 31, 20253 min read

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#apache-spark

Big Data Analytics Tools: What to Use and When

Sparkwise: Optimización Inteligente para Apache Spark en Microsoft Fabric