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. However, data scientists need to know certain programming languages and must have a specific set of skills. It can be daunting for someone new to data science.

Programming Language 98

Programming Language Data Science Programming Java 98

Rockset

JULY 22, 2022

Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. NoSQL is great for well understood access patterns. Rick Houlihan Where does NoSQL fit in the modern data stack?

NoSQL 52

NoSQL SQL Database AWS 52

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. However, data scientists need to know certain programming languages and must have a specific set of skills. It can be daunting for someone new to data science.

Programming Language 75

Programming Language Data Science Programming Java 75

U-Next

AUGUST 25, 2022

An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. Since MongoDB does not store or retrieve data in the form of columns, it is referred to as a NoSQL (Not Just SQL) database. Due to its NoSQL database, the data is kept as a collection and documents.

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

Rockset

NOVEMBER 1, 2018

Moreover, developers frequently prefer dynamic programming languages, so interacting with the strict type system of SQL is a barrier. Many of us at Rockset are fans of the Python programming language. It's easier to build apps on NoSQL systems, especially early on, before the data model stabilizes.

SQL 40

SQL NoSQL Programming Language Bytes 40

ProjectPro

MAY 2, 2016

PR Newswire The global market for Hadoop is growing exponentially since its inception in 2009 for managing big data because of its cost-effectiveness and low maintenance charges over other data frameworks. html ) Enterprise hits and misses – NoSQL marches on, and Hadoop tries to grow up. April 25, 2016. April 25, 2016.

Hadoop 52

Hadoop NoSQL Hospitality Big Data 52

Zalando Engineering

JUNE 6, 2016

They’re proficient in Hadoop-based technologies such as MongoDB, MapReduce, and Cassandra, while frequently working with NoSQL databases. Data Scientists need to know the ropes when it comes to statistical programming languages and are often R or Python fluent. A database querying language like SQL is also part of their arsenal.

Big Data 40

Big Data Programming Language MongoDB NoSQL 40