Remove 2021 Remove Machine Learning Remove Unstructured Data
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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

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The Rise of Unstructured Data

Cloudera

And data moves around. Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 Mobile and WiFi data transmissions have increased their share of total transmissions over the last five years, at the expense of wired transmissions. . of that data is analysed. Conclusions.

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Bring Geospatial Analytics Across Disparate Datasets Into Your Toolkit With The Unfolded Platform

Data Engineering Podcast

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Unstruk is the DataOps platform for your unstructured data. The options for ingesting, organizing, and curating unstructured files are complex, expensive, and bespoke.

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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

Given the way we have seen communities and workplace cultures come together and stand for change over what has been a disruptive 20 months, we are proud to introduce the People First category to the 2021 DIA. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners!

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Why a Solid Data Foundation Is the Key to Successful Gen AI

Snowflake

By 2025 it’s estimated that there will be 7 petabytes of data generated every day compared with “just” 2.3 petabytes daily in 2021. And it’s not just any type of data. By 2025 it’s estimated that there will be 7 petabytes of data generated every second compared with “just” 2.7 petabytes per second in 2021.

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Covid Data: An anomalous blip, or the new normal?

Cloudera

Insurance and finance are two industries that rely on measuring risk with historical data models. They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. Moving to these new data sources is still worthwhile.

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Data Mining vs Machine Learning. Here’s the Difference

ProjectPro

Data is the New Fuel. We all know this , so you might have heard terms like Artificial Intelligence (AI), Machine Learning, Data Mining, Neural Networks, etc. Oh wait, how can we forget Data Science? We all have heard of Data Scientist: The Sexiest Job of the 21st century. What is Data Mining?