#apache-spark

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scala
Medium
1 month ago
Scala

Download Now Developer-for-Apache-Spark-Scala Exam Questions Answers and Tips

Validation of skills in Apache Spark & Scala is crucial for professionals.
Exam covers Apache Spark & Scala concepts, hands-on coding, and real-world problem-solving. [ more ]
towardsdev.com
1 month ago
Scala

Exploring Type Constraints and Encoders in Scala

Context bound in Scala defines type requirements for subtype and implicit instance
Encoders in Apache Spark handle serialization and deserialization for Spark SQL [ more ]
Medium
2 months ago
Scala

Mastering Apache Spark with Scala: From Basics to Advanced Analytics

Apache Spark excels in big data challenges with in-memory computing.
Scala's features make it ideal for Spark's data processing tasks. [ more ]
Medium
2 months ago
Scala

Databricks- Camel to Snake Case by using Scala

Column names can be changed from CamelCase to Snake Case in a Scala dataframe in Databricks.
Scala is efficient for big data processing due to type safety, immutability, and functional paradigms. [ more ]
morescala
Medium
4 weeks ago
Data science

From Code to Execution: Decoding Apache Spark's Core Mechanics with Scala

Apache Spark is crucial for batch and stream processing of massive data sets, offering rapid insights and real-time data processing. [ more ]
Medium
3 months ago
Data science

11 Open-Source Data Engineering Tools Every Pro Should Use

Apache Spark is a leading framework for large-scale data processing, offering versatile functionalities like batch processing and stream processing.
Apache Kafka is an open-source streaming platform that is ideal for handling real-time data and high-throughput data feeds.
Snowflake, Amazon Redshift, and Google BigQuery are popular cloud data warehouses, each with unique features that data engineers should understand in order to choose the best fit for their projects. [ more ]
Medium
2 months ago
Scala

Analizando la Felicidad Mundial con Spark

Utilizar Databricks y Apache Spark para análisis de datos grandes.
Lectura de archivos CSV y definición de esquema en Spark. [ more ]
Medium
2 months ago
Scala

Desafios del Analisis de Datos con Spark: Scala y PySpark-La Aventura de un Junior.

Exploring new technologies like Apache Spark can be a challenging yet rewarding experience in the world of Big Data.
Practical application is key to truly understanding and mastering tools like Apache Spark for efficient data processing. [ more ]
Medium
3 months ago
Scala

Data Engineering: Getting Started with Delta Lake

Delta Lake is gaining popularity in the realm of Data Lakes compared to Apache Hudi and Apache Iceberg.
This article provides a simple introduction to Delta Lake using Apache Spark + Scala programming language on Spark Shell. [ more ]
Medium
3 months ago
Scala

Unlocking Spark's Hidden Power: The Secret Weapon of Caching Revealed in a Tale of Bug Hunting and...

Caching in Apache Spark is essential for improving performance by storing intermediary results in memory and reusing them instead of recalculating them from scratch.
Caching can also prevent inconsistencies caused by non-deterministic functions, such as the UUID function, by ensuring that the same results are used consistently across different operations. [ more ]
Medium
4 months ago
Scala

Evolution of Date Parsing in Apache Spark: Spark 3 and Beyond

Earlier versions of Apache Spark had limited date parsing capabilities, relying on the Java SimpleDateFormat which could lead to issues in distributed environments.
In Spark 3, there was a paradigm shift in date parsing with the integration of the Java Time API, allowing for improved precision and functionality compared to earlier versions. [ more ]
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