Remove 2026 Remove Business Intelligence Remove Hadoop Remove Unstructured Data
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Recap of Hadoop News for November 2017

ProjectPro

News on Hadoop - November 2017 IBM leads BigInsights for Hadoop out behind barn. IBM’s BigInsights for Hadoop sunset on December 6, 2017. IBM will not provide any further new instances for the basic plan of its data analytics platform. The report values global hadoop market at 1266.24 Source: theregister.co.uk/2017/11/08/ibm_retires_biginsights_for_hadoop/

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Data Lake vs. Data Warehouse: Differences and Similarities

U-Next

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Let us first get a clear understanding of why Data Science is important. What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

The Big data market was worth USD 162.6 billion by 2026 at a CAGR of 11.10%. Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. RDBMS uses high-end servers.

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Cyber Security vs Data Science: Key Difference & Similarities

Knowledge Hut

Deals with Statistical and computational approaches to extract knowledge and insights from structured and unstructured data. Data science professionals are in high demand in areas such as banking, healthcare, and e-commerce. According to the Bureau of Labour Statistics, data science employment will grow by 27.9%

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Data Science Course Syllabus and Subjects in 2024

Knowledge Hut

With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. Introduces technologies like Hadoop and Spark for distributed computing.

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Google BigQuery: A Game-Changing Data Warehousing Solution

ProjectPro

BigQuery can process upto 20 TB of data per day and has a storage limit of 1PB per table. With the global cloud data warehousing market likely to be worth $10.42 billion by 2026, cloud data warehousing is now more critical than ever. Sounds exciting to learn more about Google BigQuery, read on!

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