Knowledge Hut

MAY 2, 2024

Let’s see a comparison between Spark and MapReduce on different other parameters to understand where to use Spark and where to use MapReduce Attributes MapReduce Apache Spark Speed/Performance MapReduce is designed for batch processing and is not as fast as Spark. Spark can also handle Streaming data so it's best suited for Lambda design.

Scala 96

Scala Hadoop Datasets Java 96

Striim

AUGUST 31, 2023

In this article, we will take a look at the benefits and drawbacks of kappa architecture, how Striim makes it easier to use, what infrastructure you need for your kappa architecture, and how you can start designing your own kappa architecture with a free version of Striim’s unified data integration and streaming platform.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

Knowledge Hut

NOVEMBER 28, 2023

Data engineers design, manage, test, maintain, store, and work on the data infrastructure that allows easy access to structured and unstructured data. Cloud Data engineering is all about designing, programming, and testing software, which is required for modern database solutions. What do Data Engineers Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Monte Carlo

MAY 17, 2023

Keep Critical Machine Learning Algorithms Online 27. Support Reverse ETL Initiatives Like Personalization 29. Because the sheer amount of data takes several days to process, they designed a query that checks rows loaded on a day over day and week over week basis to make sure the cron is on track. Improve Marketing Campaigns 23.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Keep Critical Machine Learning Algorithms Online 27. Support Reverse ETL Initiatives Like Personalization 29. Because the sheer amount of data takes several days to process, they designed a query that checks rows loaded on a day over day and week over week basis to make sure the cron is on track. Improve Marketing Campaigns 23.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

ProjectPro

NOVEMBER 30, 2021

When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms. Source-Driven Extraction The source notifies the ETL system when data changes, triggering the ETL pipeline to extract the new data.

Process 52

Process Data Pipeline Data Warehouse AWS 52