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. billion (2019 - 2022).

Scala 52
article thumbnail

Exploring Processing Patterns For Streaming Data Integration In Your Data Lake

Data Engineering Podcast

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. The Lambda architecture has largely been abandoned, so what is the answer for today’s data lakes?

Data Lake 100
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Ingestion: 7 Challenges and 4 Best Practices

Monte Carlo

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Source : Fundamentals of Data Engineering by Joe Reis and Matt Housley.

article thumbnail

An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. What is Real Time Data Warehousing? Data Model.

article thumbnail

20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.

article thumbnail

Data Engineering Weekly #138

Data Engineering Weekly

[link] Alibaba: The Thinking and Design of a Quasi-Real-Time Data Warehouse with Stream and Batch Integration Time interval data processing is the foundation of data engineering; regardless it’s batch or real-time. Each architectural pattern has its limitation.