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Data Science Foundations & Learning Path

Knowledge Hut

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Unstructured data sources.

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Is the data warehouse going under the data lake?

ProjectPro

Data warehouses do a good job for what they are meant to do, but with disparate data sources and different data types like transaction logs, social media data, tweets, user reviews, and clickstream dataData Lakes fulfil a critical need.

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Big Data vs. Crowdsourcing Ventures - Revolutionizing Business Processes

ProjectPro

Generally, a data scientist spends 78% of his time in preparing the data for big data analytics. For example, before the analysis the crowd can tell whether the data points are a Tweet or updates from Facebook and whether it carries a negative, positive or neutral connotation.

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5 Big Data Use Cases- How Companies Use Big Data

ProjectPro

How Nike uses Big Data- Top sports brand Nike leverages big data analytics to develop ecological designs for its products, including a dye technique that requires no water. According to IDC, the amount of data will increase by 20 times - between 2010 and 2020, with 77% of the data relevant to organizations being unstructured.

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Emerging Trends in Big Data Analysis for 2023

ProjectPro

IDC also forecasts that Big Data Analytics market will outpour from $3.2 billion in 2010 to $17 billion in 2015 with estimates that the Big Data Analytics services market is growing 6 times faster than the entire IT sector.

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Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

MongoDB This free, open-source platform, which came into the limelight in 2010, is a document-oriented (NoSQL) database that is used to store a large amount of information in a structured manner. The first is the type of data you have, which will determine the tool you need. Features: Users can choose the language they wish to run in.