Data Analytics MongoDB NoSQL Structured Data 
Knowledge Hut
MARCH 27, 2024
The collection of meaningful market data has become a critical component of maintaining consistency in businesses today. A company can make the right decision by organizing a massive amount of raw data with the right data analytic tool and a professional data analyst. What Is Big Data Analytics?
AltexSoft
MAY 14, 2021
And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.
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ProjectPro
MARCH 19, 2015
Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.
AltexSoft
MAY 12, 2023
What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.
U-Next
MARCH 1, 2023
A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.
Knowledge Hut
DECEMBER 21, 2023
In this article, we will discuss the 10 most popular Hadoop tools which can ease the process of performing complex data transformations. It incorporates several analytical tools that help improve the data analytics process. With the help of these tools, analysts can discover new insights into the data.
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. Key differences between structured, semi-structured, and unstructured data.
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