Structure and Interpretation of Data. At Kernelfish, we recognize that big data is only as useful as the insights you can derive from it. While there is a lot of buzz around the latest big data stacks, be it Hadoop, or Spark, or Tez or what have you, there is little to no focus on actually extracting meaningful insights from large datasets. This is where we believe Kernelfish excels.
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Structure and Interpretation of Data. At Kernelfish, we recognize that big data is only as useful as the insights you can derive from it. While there is a lot of buzz around the latest big data stacks, be it Hadoop, or Spark, or Tez or what have you, there is little to no focus on actually extracting meaningful insights from large datasets. This is where we believe Kernelfish excels.
kernelfail
My name is Pavel. I'm currently working at digicast. If you want to get in touch, send an email. I am also have accounts on twitter. Platforms: Debian/Ubuntu, RHEL/CentOS, openSUSE, FreeBSD. Languages: Python, Ruby, C/C , Bash, Sed, Awk. Databases: MongoDB, MySQL, PostgreSQL, FirebirdSQL. Web-servers: Nginx, Apache, Lighttpd. Virtualization: Docker, Xen, VirtualBox, VmWare, KVM. Version Control: Git, SVN. Configuration Management: Chef, Puppet. Firewalls: iptables, pf. Hosted on GitHub Pages.
Kernel FAQs
The Internet Protocol (IP). At Thursday, February 10, 2011. The network layer of OSI reference model takes care of routing, relaying, moving information from the source to the destination. The popular protocol of the network layer is the Internet Protocol (IP). IP has two functions:. Addressing is about how each node in a network is identified. We make use of IP addresses here. There are two versions of IP addresses. We call them as IPv4 and IPv6 based on the version. IP header format (IP version). Indic...
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Structure and Interpretation of Data. At Kernelfish, we recognize that big data is only as useful as the insights you can derive from it. While there is a lot of buzz around the latest big data stacks, be it Hadoop, or Spark, or Tez or what have you, there is little to no focus on actually extracting meaningful insights from large datasets. This is where we believe Kernelfish excels.
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