Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. Data scientists are in high demand, and the demand will only continue to rise.

Programming Language 98

Programming Language Data Science Programming Scala 98

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. Data scientists are in high demand, and the demand will only continue to rise.

Programming Language 75

Programming Language Data Science Programming Scala 75

Knowledge Hut

MAY 2, 2024

Here come the frameworks like Apache Spark and MapReduce to our rescue and help us to get deep insights into this huge amount of structured, unstructured, and semi-structured data and make more sense of it. Compatibility MapReduce is also compatible with all data sources and file formats Hadoop supports. Features of Spark 1.

Scala 96

Scala Hadoop Datasets Java 96

ProjectPro

MAY 2, 2016

News on Hadoop-April 2016 Cutting says Hadoop is not at its peak but at its starting stages. Datanami.com At his keynote address in San Jose, Strata+Hadoop World 2016, Doug Cutting said that Hadoop is not at its peak and not going to phase out. Source: [link] ) Dr. Elephant will now solve your Hadoop flow problems.

Hadoop 52

Hadoop NoSQL Hospitality Big Data 52

ProjectPro

MARCH 23, 2015

was intensive and played a significant role in processing large data sets, however it was not an ideal choice for interactive analysis and was constrained for machine learning, graph and memory intensive data analysis algorithms. In one of our previous articles we had discussed about Hadoop 2.0

Hadoop 40

Hadoop Big Data Architecture Metadata 40

Knowledge Hut

MAY 2, 2024

Apache Spark was developed by a team at UC Berkeley in 2009. Spark also has support for streaming data using Spark Streaming. Spark is developed in Scala programming language. Though the majority of use cases of Spark uses HDFS as the underlying data file storage layer, it is not mandatory to use HDFS.

Scala 52

Scala Hospitality Healthcare Retail 52

ProjectPro

JANUARY 19, 2022

Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines. Data Engineering Requirements Here is a list of skills needed to become a data engineer: Highly skilled at graduation-level mathematics.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52