Knowledge Hut

DECEMBER 26, 2023

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. NLP Engineers require excellent skills in statistical analysis, text representation, and experience with Machine Learning and Deep Learning frameworks and libraries.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

DareData

JANUARY 30, 2023

In the current age of readily available deep learning models and easy model training, the most valuable data scientists are those who are able to focus on the stability and scalability of their models, rather than just their performance on a single machine. Examples of relational databases include MySQL or Microsoft SQL Server.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

Knowledge Hut

NOVEMBER 17, 2023

Amazon RDS allows access to several acquainted database engines, including Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server. Amazon DynamoDB DynamoDB is a quick and independently managed NoSQL database service that is simple and cost-effective for developers to store and recover any amount of data.

AWS 52

AWS Amazon Web Services PostgreSQL Relational Database 52

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

ProjectPro

JANUARY 19, 2022

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. For machine learning, an introductory text by Gareth M.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MARCH 19, 2024

Select EC2 accelerated computing instances if you require a lot of processing power and GPU capability for deep learning and machine learning. RDS should be utilized with NoSQL databases like Amazon OpenSearch Service (for text and unstructured data) and DynamoDB (for low-latency/high-traffic use cases).

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52