Knowledge Hut

JUNE 23, 2023

The data engineer learning path includes having set-skills and awareness of the process and channel data and having the zest to work as a frontline technician who can retrieve data from various data sources. 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 Non-relational Database 52

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. This process is generally called “Extract, Transfer, Load” or ETL. The architecture can include relational or non-relational data sources, as well as proprietary systems and processing tools.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Data collection as the first step in the decision-making process, driven by machine learning.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

NOVEMBER 23, 2021

The traditional way of data integration involves consolidating disparate data within a single repository — commonly a data warehouse — via the extract, transform, load (ETL) process. If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT.

Process 69

Process Data Lake Metadata Data Warehouse 69

U-Next

AUGUST 3, 2022

Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Up until 2010, it was extremely difficult for companies to store data.

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

JULY 27, 2021

But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis. Differentiate between relational and non-relational database management systems. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

DECEMBER 26, 2023

Due to its vastness and complexity, no traditional data management system can adequately store or process this data. Relational and non-relational databases, such as RDBMS, NoSQL, and NewSQL databases. Learn about the capabilities of Spark's Structured Streaming stream-processing engine.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75