Remove 2010 Remove Java Remove Unstructured Data
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Fundamentals of Apache Spark

Knowledge Hut

It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. It was open-sourced in 2010 under a BSD license. The core is the distributed execution engine and the Java, Scala, and Python APIs offer a platform for distributed ETL application development.

Hadoop 98
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Top 10 Real World Applications of Cloud Computing

Knowledge Hut

Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them. Cloud computing enables enterprises to access massive amounts of organized and unstructured data in order to extract commercial value. SQL, NoSQL, and Linux knowledge are required for database programming.

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Hadoop Ecosystem Components and Its Architecture

ProjectPro

Hadoop common provides all Java libraries, utilities, OS level abstraction, necessary Java files and script to run Hadoop, while Hadoop YARN is a framework for job scheduling and cluster resource management. 2) Hadoop Distributed File System (HDFS) - The default big data storage layer for Apache Hadoop is HDFS.

Hadoop 52
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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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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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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.

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

AltexSoft

In this edition of “The Good and The Bad” series, we’ll dig deep into Elasticsearch — breaking down its functionalities, advantages, and limitations to help you decide if it’s the right tool for your data-driven aspirations. It is developed in Java and built upon the highly reputable Apache Lucene library.