Knowledge Hut

JANUARY 24, 2024

Power BI takes advantage of Microsoft's business analytics. The business intelligence market has multiplied in recent years and is anticipated to do so going forward. You should be data-driven if you want to pursue your career in Business Intelligence, Analytics, or Data Science.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

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. You must develop predictive models to help industries and businesses make data-driven decisions. You should be well-versed in Python and R, which are beneficial in various data-related operations. What is HDFS?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Cassandra A database built by the Apache Foundation.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JANUARY 31, 2023

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. RDBMS is a part of system software used to create and manage databases based on the relational model.

Big Data 52

Big Data Hadoop AWS Relational Database 52

U-Next

AUGUST 3, 2022

The Big Data age in the data domain has begun as businesses cope with petabyte and exabyte-sized amounts of data. Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. Non-Technical Competencies. And Data Science has a significant impact here.

Retail 52

Retail Data Science Computer Science Entertainment 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. Non-relational databases , on the other hand, work for data forms and structures other than tables.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

OCTOBER 8, 2021

ODI has a wide array of connections to integrate with relational database management systems ( RDBMS) , cloud data warehouses, Hadoop, Spark , CRMs, B2B systems, while also supporting flat files, JSON, and XML formats. They include NoSQL databases (e.g., MongoDB), SQL databases (e.g., MySQL), file stores (e.g.,

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52