Knowledge Hut

DECEMBER 27, 2023

The more effectively a company is able to collect and handle big data the more rapidly it grows. Because big data has plenty of advantages, hence its importance cannot be denied. Ecommerce businesses like Alibaba, Amazon use big data in a massive way. We are discussing here the top big data tools: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. You must have good knowledge of the SQL and NoSQL database systems. NoSQL databases are also gaining popularity owing to the additional capabilities offered by such databases.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

AltexSoft

FEBRUARY 11, 2023

Sample of a high-level data architecture blueprint for Azure BI programs. Source: Pragmatic Works This specialist also oversees the deployment of the proposed framework as well as data migration and data integration processes.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

JANUARY 31, 2023

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

APRIL 1, 2016

eWeek.com Syncsort has made it easy for mainframe data to work in Hadoop and Spark by upgrading its DMX-h data integration software. Syncsort has delivered this because some of the companies in industries like financial services, banking, and insurance needed to maintain their mainframe data in native format.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52