Knowledge Hut

JUNE 20, 2023

He researches, develops, and implements artificial intelligence (AI) systems to automate predictive models. Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. This profile is more in demand in midsize and big businesses.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

FEBRUARY 27, 2023

In large organizations, data engineers concentrate on analytical databases, operate data warehouses that span multiple databases, and are responsible for developing table schemas. Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. Business Intelligence tools, therefore cannot process this vast spectrum of data alone, hence we need advanced algorithms and analytical tools to gather insights from these data. What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

SEPTEMBER 26, 2023

It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Data scientists can use Python and R for data analysis, while data engineers opt for Java or Scala, which are more common for them.

Big Data 52

Big Data Data Process Process Hadoop 52