Remove 2006 Remove Business Intelligence Remove Hadoop Remove Structured Data
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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The Hadoop toy. So the first secret to Hadoop’s success seems clear — it’s cute. What is Hadoop?

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The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

Spark SQL brings native support for SQL to Spark and streamlines the process of querying semistructured and structured data. Datasets: RDDs can contain any type of data and can be created from data stored in local filesystems, HDFS (Hadoop Distributed File System), databases, or data generated through transformations on existing RDDs.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

A single car connected to the Internet with a telematics device plugged in generates and transmits 25 gigabytes of data hourly at a near-constant velocity. And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data. Data storage and processing.

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Google BigQuery: A Game-Changing Data Warehousing Solution

ProjectPro

2) Geospatial Analysis Users can analyze and display geographic data with BigQuery thanks to its usage of geography data types and Google Standard SQL geography functions. Google BigQuery Architecture- A Detailed Overview BigQuery is built on Dremel technology, which has been used internally at Google since 2006.

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