Remove 2015 Remove Structured Data Remove Unstructured Data
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The Rise of Unstructured Data

Cloudera

The rate of data growth is reflected in the proliferation of storage centres. For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. And data moves around. Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 Zettabytes per year.

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Announcing New Innovations for Data Warehouse, Data Lake, and Data Lakehouse in the Data Cloud 

Snowflake

Our table storage since we first launched in 2015 is actually a fully managed table format, implemented on top of object storage, similar to what the market may know today from open source as Apache Iceberg, Apache Hudi, and Delta Lake. Rather than defining schema upfront, a user can decide which data and schema they need for their use case.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. Step 1- Automating the Lakehouse's data intake.

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Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. Paxata also gained industry recognition in the first year of it commercial availability by making it to one of the top vendors in Gartner Cool Vendor of 2014.

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Industry Interview Series- How Big Data is Transforming Business Intelligence?

ProjectPro

Solocal has taken big data to the next stage of BI by designing a novel vision of BI with the open source distributed computing framework Hadoop. It replaced its traditional BI structure by integrating big data and Hadoop."-April In BI we just consider structured data. So what is BI? This is implemented at Solocal.

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Top 50 Hadoop Interview Questions for 2023

ProjectPro

million new IT jobs by end of 2015 and Hadoop will be in most advanced analytics products by 2015.” ” With the increasing demand for Hadoop for Big Data related issues, the prediction by Gartner is ringing true. Process Unstructured Data. Centralized Job Distribution.

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Hadoop Ecosystem Components and Its Architecture

ProjectPro

In our earlier articles, we have defined “What is Apache Hadoop” To recap, Apache Hadoop is a distributed computing open source framework for storing and processing huge unstructured datasets distributed across different clusters. It can also be used for exporting data from Hadoop o other external structured data stores.

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