Knowledge Hut

DECEMBER 26, 2023

Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required. A Data Analyst’s job heavily requires skills like Python, SQL, and R as they also require querying the data stores to calculate key metrics of the business.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Hard Skills SQL, which includes memorizing a query and resolving optimized queries. Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

AltexSoft

JULY 29, 2022

On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. Apache Pig , Apache Hive , Apache Drill , and Apache Phoenix simplify Big Data exploration and analysis allowing for using SQL and SQL-like query languages, familiar to most data analysts.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Edureka

JANUARY 12, 2024

This table summarizes the key differences between normalization and denormalization in database design, each with its own advantages and trade-offs depending on the specific requirements and context of the database application. Data is skillfully stored by MongoDB in a format that is adaptable and similar to JSON.

Java 52

Java NoSQL MongoDB Programming 52

Knowledge Hut

APRIL 18, 2023

Boot camps, online courses, and other training programs that teach the skills needed to become a full-stack developer, including programming languages such as HTML, CSS, and JavaScript and backend technologies such as SQL, Python, and Node.js. in web development, database administration, artificial intelligence, or information security.

Computer Science 59

Computer Science Programming Language Java Education 59

Knowledge Hut

JANUARY 3, 2024

A normalization database or normalization in DBMS design method avoids data duplication and removes undesired traits like Insertion, Update, and Deletion Anomalies. SQL normalization serves the dual purpose of removing unnecessary (repetitive) data and ensuring logical data storage. Why do we Need normalization?

MongoDB 52

MongoDB Database Coding Project 52

Rockset

DECEMBER 9, 2021

It is now possible to continuously capture changes as they happen in your operational database like MongoDB or Amazon DynamoDB. That makes it very difficult for the data warehouse to stay synced in real-time with the operational database. Real-time insights delivered straight to users, i.e. the modern real-time data stack.

Transportation 52

Transportation BI SQL Database 52

Rockset

APRIL 15, 2022

Companies also began to embrace change data capture (CDC) in order to stream updates from operational databases — think Oracle , MongoDB or Amazon DynamoDB — into their data warehouses. Rockset goes beyond other mutable real-time databases, though. This ensures that queries access the latest, correct version of data.

Analytics Application 52

Analytics Application Data Warehouse Kafka Raw Data 52