Remove Hadoop Remove Java Remove Lambda Architecture
article thumbnail

The Stream Processing Model Behind Google Cloud Dataflow

Towards Data Science

Paper’s Introduction At the time of the paper writing, data processing frameworks like MapReduce and its “cousins “ like Hadoop , Pig , Hive , or Spark allow the data consumer to process batch data at scale. On the stream processing side, tools like MillWheel , Spark Streaming , or Storm came to support the user.

article thumbnail

Apache Spark Use Cases & Applications

Knowledge Hut

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52
article thumbnail

20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

This architecture shows that simulated sensor data is ingested from MQTT to Kafka. Finally, the data is published and visualized on a Java-based custom Dashboard. Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day. Understand the importance of Qubole in powering up Hadoop and Notebooks.