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The Role of Database Applications in Modern Business Environments

Knowledge Hut

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Key-value stores, columnar stores, graph-based databases, and wide-column stores are common classifications for NoSQL databases. Columnar Database (e.g.-

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Top 10 Successful Data Analytics Company in 2023

Edureka

billion (2022) Employees: 505,000+ Services: Data analytics, consulting, technology Clients: 9,000+ Industry focus: Financial services, healthcare, retail, manufacturing, and telecommunications Accenture Analytics is a leader in the data analytics industry. Some of the key figures for Accenture Analytics include: Revenue: $50.5 Revenue: $43.9

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5 reasons why Business Intelligence Professionals Should Learn Hadoop

ProjectPro

Get More Practice, More Big Data and Analytics Projects , and More guidance.Fast-Track Your Career Transition with ProjectPro Hadoop is good for data integration and BI Relational databases are dominant at present and they integrate well with other information systems. These files can be saved on Hadoop HDFS.

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Hottest IT Certifications of 2015- NoSQL Databases (MongoDB Certification)

ProjectPro

MongoDB-NoSQL Database of the Developers and for the Developers “Big Data” is revolutionizing the world and an SQL solution is very expensive to tackle the evolving business demands.With 80% of data being unstructured, data management requirements cannot be effectively met with expensive relational database management systems quickly.

NoSQL 40
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AWS Solutions Architect Associate Cheat Sheet

Knowledge Hut

Amazon RDS Amazon Relational Database Service (RDS) facilitates the launching and managing of relational databases on the AWS platform. They are made for use as transactional databases and are suitable for storing structured and relational data.

AWS 52
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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Let’s consider a large Asian Telecommunications provider who is rolling out 5G. So they needed a data warehouse that could keep up with the scale of modern big data systems , but provide the semantics and query performance of a traditional relational database. Data processing and analytics drive their entire business.

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Data Marts: What They Are and Why Businesses Need Them

AltexSoft

A data mart is a subject-oriented relational database commonly containing a subset of DW data that is specific for a particular business department of an enterprise, e.g., a marketing department. Modern cloud warehouses make it possible to store data in its raw formats similarly to data lakes. Independent data marts.