www.slideshare.net/julienledem/parquet-hadoop-summit-2013
Preview meta tags from the www.slideshare.net website.
Linked Hostnames
3Thumbnail
Search Engine Appearance
Parquet Hadoop Summit 2013
Parquet is a columnar storage format for Hadoop data. It was developed by Twitter and Cloudera to optimize storage and querying of large datasets. Parquet provides more efficient compression and I/O compared to traditional row-based formats by storing data by column. Early results show a 28% reduction in storage size and up to a 114% improvement in query performance versus the original Thrift format. Parquet supports complex nested schemas and can be used with Hadoop tools like Hive, Pig, and Impala. - Download as a PDF, PPTX or view online for free
Bing
Parquet Hadoop Summit 2013
Parquet is a columnar storage format for Hadoop data. It was developed by Twitter and Cloudera to optimize storage and querying of large datasets. Parquet provides more efficient compression and I/O compared to traditional row-based formats by storing data by column. Early results show a 28% reduction in storage size and up to a 114% improvement in query performance versus the original Thrift format. Parquet supports complex nested schemas and can be used with Hadoop tools like Hive, Pig, and Impala. - Download as a PDF, PPTX or view online for free
DuckDuckGo
https://www.slideshare.net/julienledem/parquet-hadoop-summit-2013Parquet Hadoop Summit 2013
Parquet is a columnar storage format for Hadoop data. It was developed by Twitter and Cloudera to optimize storage and querying of large datasets. Parquet provides more efficient compression and I/O compared to traditional row-based formats by storing data by column. Early results show a 28% reduction in storage size and up to a 114% improvement in query performance versus the original Thrift format. Parquet supports complex nested schemas and can be used with Hadoop tools like Hive, Pig, and Impala. - Download as a PDF, PPTX or view online for free
General Meta Tags
7- titleParquet Hadoop Summit 2013 | PDF
- charsetutf-8
- viewportwidth=device-width
- robotsindex, follow
- titleParquet Hadoop Summit 2013
Open Graph Meta Tags
10- og:site_nameSlideShare
- og:typewebsite
- og:urlhttps://www.slideshare.net/slideshow/parquet-hadoop-summit-2013/23580705
- og:titleParquet Hadoop Summit 2013
- og:descriptionParquet is a columnar storage format for Hadoop data. It was developed by Twitter and Cloudera to optimize storage and querying of large datasets. Parquet provides more efficient compression and I/O compared to traditional row-based formats by storing data by column. Early results show a 28% reduction in storage size and up to a 114% improvement in query performance versus the original Thrift format. Parquet supports complex nested schemas and can be used with Hadoop tools like Hive, Pig, and Impala. - Download as a PDF, PPTX or view online for free
Twitter Meta Tags
17- twitter:site@SlideShare
- twitter:cardplayer
- twitter:titleParquet Hadoop Summit 2013
- twitter:descriptionParquet is a columnar storage format for Hadoop data. It was developed by Twitter and Cloudera to optimize storage and querying of large datasets. Parquet provides more efficient compression and I/O compared to traditional row-based formats by storing data by column. Early results show a 28% reduction in storage size and up to a 114% improvement in query performance versus the original Thrift format. Parquet supports complex nested schemas and can be used with Hadoop tools like Hive, Pig, and Impala. - Download as a PDF, PPTX or view online for free
- twitter:imagehttps://cdn.slidesharecdn.com/ss_thumbnails/parquethadoopsummit2013-130627111442-phpapp01-thumbnail.jpg?width=640&height=640&fit=bounds
Link Tags
18- canonicalhttps://www.slideshare.net/slideshow/parquet-hadoop-summit-2013/23580705
- preloadhttps://public.slidesharecdn.com/_next/static/media/b6a6f0b43d027304-s.p.woff2
- preloadhttps://public.slidesharecdn.com/_next/static/media/9cf9c6e84ed13b5e-s.p.woff2
- preloadhttps://public.slidesharecdn.com/_next/static/media/8e9860b6e62d6359-s.p.woff2
- preloadhttps://public.slidesharecdn.com/_next/static/media/e4af272ccee01ff0-s.p.woff2
Website Locales
2
enhttps://www.slideshare.net/slideshow/parquet-hadoop-summit-2013/23580705
x-defaulthttps://www.slideshare.net/slideshow/parquet-hadoop-summit-2013/23580705
Links
199- https://support.scribd.com/hc/en/articles/360038016931-Privacy-Rights-Request-Form
- https://support.scribd.com/hc/en/categories/360004792932-SlideShare?userType=SlideShare
- https://support.scribd.com/hc/en/categories/360004792932-SlideShare?userType=SlideShare/articles/210129326-General-Terms-of-Use
- https://support.scribd.com/hc/en/categories/360004792932-SlideShare?userType=SlideShare/articles/210129366-Privacy-policy
- https://support.scribd.com/hc/en/sections/202246086