Ascend.io

SEPTEMBER 14, 2023

Use Case: Transforming monthly sales data to weekly averages import dask.dataframe as dd data = dd.read_csv('large_dataset.csv') mean_values = data.groupby('category').mean().compute() compute() Data Storage Python extends its mastery to data storage, boasting smooth integrations with both SQL and NoSQL databases.

Data Engineer 52

Data Engineer Data Engineering Python Engineering 52

AltexSoft

MARCH 14, 2023

Additionally, this modularity can help prevent vendor lock-in, giving organizations more flexibility and control over their data stack. Many components of a modern data stack (such as Apache Airflow, Kafka, Spark, and others) are open-source and free. Some popular databases are Postgres and MongoDB.

IT 59

IT Data Warehouse Data Governance Data Lake 59

ProjectPro

AUGUST 24, 2021

This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase. Finally, the data is published and visualized on a Java-based custom Dashboard. This is called Hot Path.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Knowledge Hut

NOVEMBER 17, 2023

To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases. You should be able to create intricate queries that use subqueries, join numerous tables, and aggregate data.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

ProjectPro

JUNE 6, 2025

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB Check Out ProjectPro's Complete Data Engineering Traning with Enterprise-Grade Data Engineering Projects ! What is data modeling? Data modeling is a technique that defines and analyzes the data requirements needed to support business processes.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Rockset

DECEMBER 22, 2020

By using Rockset, we may have to Tokenize our search fields on ingestion however we make up for it in firstly, the simplicity of processing this data on ingestion as well as easier querying, joining, and aggregating data. Read more about how Rockset compares to Elasticsearch and explore how to migrate to Rockset.

SQL 40

SQL Data MongoDB Aggregated Data 40

Rockset

SEPTEMBER 13, 2022

Further, data is king, and users want to be able to slice and dice aggregated data as needed to find insights. Users don't want to wait for data engineers to provision new indexes or build new ETL chains. They want unfettered access to the freshest data available.

SQL 52

SQL Database Relational Database NoSQL 52

ProjectPro

JULY 27, 2021

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Data modeling is a technique that defines and analyzes the data requirements needed to support business processes. It involves creating a visual representation of an entire system of data or a part of it.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Tools/Tech stack used: The tools and technologies used for such healthcare data management using Apache Hadoop are MapReduce and MongoDB. You will be introduced to exciting Big Data Tools like AWS, Kafka, NiFi , HDFS, PySpark, and Tableau. Implementing a Big Data project on AWS.

Hadoop 40

Hadoop Project Big Data Media 40

Rockset

APRIL 15, 2022

Explosion in Streaming Data Before Kafka, Spark and Flink, streaming came in two flavors: Business Event Processing (BEP) and Complex Event Processing (CEP). Many (Kafka, Spark and Flink) were open source. Rockset not only continuously ingests data, but also can “rollup” the data as it is being generated.

Analytics Application 52

Analytics Application Data Warehouse Kafka Raw Data 52