Data Science Dojo

JULY 6, 2023

Apache Hadoop: Apache Hadoop is an open-source framework for distributed storage and processing of large datasets. Hadoop consists of the Hadoop Distributed File System (HDFS) for distributed storage and the MapReduce programming model for parallel data processing.

Data Engineering 195

Data Engineering Data Engineering Data Engineer Data Engineering 195

Data Science Blog

MARCH 14, 2023

In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Women in Big Data

OCTOBER 9, 2024

This phase ensures quality and consistency using frameworks like Apache Spark or AWS Glue. Batch Processing: For large datasets, frameworks like Apache Hadoop MapReduce or Apache Spark are used. Stream Processing: Real-time data is processed using tools like Apache Kafka or Apache Flink.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Smart Data Collective

MAY 20, 2019

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. SQL programming skills, specific tool experience — Tableau for example — and problem-solving are just a handful of examples. Data processing is another skill vital to staying relevant in the analytics field.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

MARCH 10, 2023

Some of the tools used by Data Science in 2023 include statistical analysis system (SAS), Apache, Hadoop, and Tableau. It contains data clustering, classification, anomaly detection and time-series forecasting. Others have Knime, RapidMiner, PowerBI, Python, Jupyter, Microsoft HDInsight, etc.

Data Scientist 52

Data Scientist Data Science Apache Hadoop Machine Learning 52

Pickl AI

JULY 10, 2023

Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as Apache Hadoop and Apache Spark. Esquisse: One of the most essential tableau features that has been introduced within the R libraries is Esquisse.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52