Knowledge Hut

JANUARY 18, 2024

Data scientists also work with artificial intelligence algorithms that automate product recommendations or fraud detection processes. SQL SQL is essential if you want to work with relational databases at any level of detail. The computer science part includes algorithms and software engineering.

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

Knowledge Hut

JANUARY 9, 2024

3 Cloud Storage This unit covers cloud storage systems, their concepts, object storage (Ceph, OpenStack Swift, and Amazon S3), databases (DynamoDB, HBase, Cassandra, and MongoDB), and distributed file systems (Ceph FS and HDFS ).

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Cloud Academy

JANUARY 27, 2022

Data engineers are responsible for transforming data into an easily accessible format, identifying trends in data sets, and creating algorithms to make the raw data more useful for business units. Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

AltexSoft

JUNE 26, 2023

They can be accumulated in NoSQL databases like MongoDB or Cassandra. Say, to create a hotel price prediction algorithm for a family hotel, we combined its own booking data with information on rivals of the same size and located in the same region. Formats belonging to this category include JSON, CSV, and XML files.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

APRIL 3, 2023

This includes the server, database, and application logic, as well as the APIs and other interfaces that connect the backend with the front end of the application. Backend developers work with programming languages such as Java, Python, Ruby, and PHP, as well as databases such as MySQL, MongoDB, and PostgreSQL.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

U-Next

AUGUST 11, 2022

Depending on the data modelling need, you may need to work with relational databases (like MYSQL, db2 or PostgreSQL) or NoSQL databases (like MongoDB). While you may have access to an existing database, at times, you may need to build one from scratch.

Data Science 40

Data Science Relational Database PostgreSQL MongoDB 40

U-Next

AUGUST 3, 2022

A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. Processes for modelling data, algorithms, and prediction models are created to draw out information from the collected data. To differentiate and categorise data based on a set of criteria, Data Scientists utilise specialised algorithms.

Retail 52

Retail Data Science Computer Science Entertainment 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 possess a strong understanding of data structures and algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

DoorDash Engineering

JANUARY 30, 2024

For example, if your application requires complex query capabilities, systems like MongoDB might be more suitable. Normalization vs. denormalization : Unlike traditional relational database management systems, or RDBMS, Cassandra does not excel at joining tables. As a result, denormalization is often necessary.

NoSQL 84

NoSQL Database Systems Relational Database 84

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Edureka

FEBRUARY 8, 2024

Use cases for memory-optimized instances include- Database Servers- Applications like relational databases benefit from the higher memory capacity to store and retrieve data efficiently. These databases often require high-speed storage to deliver fast read and write operations, making I-Series instances a suitable choice.

AWS 52

AWS NoSQL Deep Learning Datasets 52

ProjectPro

JANUARY 19, 2022

Ability to demonstrate expertise in database management systems. Good knowledge of various machine learning and deep learning algorithms will be a bonus. Machine Learning and Deep Learning Understanding machine learning and deep learning algorithms aren’t a must for data engineers. Supports big data technology well.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

OCTOBER 30, 2018

Likewise, many other pre-cloud systems, including MongoDB and Elasticsearch, were designed for a world in which the underlying hardware, on which they run, was fixed. Qubole morphed Hadoop to be cloud friendly, while Amazon Aurora and Snowflake built cloud-optimized relational databases. Disaggregation is key.

Cloud 40

Cloud IT MongoDB Hadoop 40

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Wrappers Method: This method employs the 'induction algorithm,' which may be used to generate a classifier. SQL MySQL SQL is a relational database. MySQL is a non-relational database.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JULY 27, 2021

Complex algorithms, specialized professionals, and high-end technologies are required to leverage big data in businesses, and big Data Engineering ensures that organizations can utilize the power of data. Differentiate between relational and non-relational database management systems. What is meant by outliers?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

MARCH 14, 2023

Databases store key information that powers a company’s product, such as user data and product data. The ones that keep only relational data in a tabular format are called SQL or relational database management systems (RDBMSs). Some popular databases are Postgres and MongoDB.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Knowledge Hut

SEPTEMBER 6, 2023

Certification Provider : IBM Duration : ~5 months at 10 hours a week Cost : $98 USD Importance : Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2. No prior experience is required. It is a 13-course series.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

NOVEMBER 14, 2015

This failure of relational database management systems triggered organizations to move their data from RDBMS to Hadoop. Data migration from legacy systems to the cloud is a major use case in organizations that have been into relational databases. This system can even handle emergency situations if required.

Hadoop 52

Hadoop Project Big Data Healthcare 52