Why is Real-Time Compression Important?

"The Ability to Understand the Data Your Organization is Collecting in Real-Time and Make Decisions Immediately" O101010 10001 101010 WHY IS00. Real-Time Compression 1101010Important?010 110101 L010100 The volume of essential data that businesses must have instant access to at all times is huge and increasing daily. The Web is becoming real-time. Real-time analytics, real-time ad O serving, real-time everything. 00 01 00 01 62% LL01010 0100011 101010 01 Digital Information 00 0.00011010 101 707 The rapid growth of data is the problem. Even in 2009's "Great Recession," the amount of digital information grew 62% over 2008 to 800 billion gigabytes. What's critical to realize is that 35% more digital information is created today than the capacity exists to store it; and this number will jump to over 60% over the next several years. תיי" 1010101000 DO30101 How will organizations that support the infrastructure for storing this data be able to support this growth? Different technology solutions are available for the enterprise: Thin provisioning, virtualization, automated tiering, deduplication, flash, and real-time compression 01010001 001101CH L010100C1A 000110 More And More Businesses Are Even Beginning To Use Real-Time Compression Which Automatically Reduces Capacity Requirements Instantaneously By Eliminating Unnecessary Compressing Data As It Is Stored. Real-Time Compression is good in databases where there is lots of spare space. You have to be able to break it up - you cannot wait until you have compressed the whole file. and deal with it "there and then" - GO101 Real-Time File types Home Directories - VMware - Data- - CAD/CAM - Seismic - Compression is great for: bases - Data Types - vector data that is highly compressible Real-Time Compression leverages in- dustry standard, tried, true, tested LZ Compression 001L0L01 10101000 0001101 010101. Disadvantage: Does not work on all file types - already compressed images (JPG), and audio/video files It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's saved to the hard disk) It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's Saved to the hard disk) 101010001 000110101 1100 010101 100011 1011016 docusent.xnl.relstE"al-1IATY 30s'a Iarsj)11 eyean!Y, H'CE2/h> ,SDE( ".SDE( 10a%0eb"b+i¢L Ocument.xml.relst 30s°m Data Encryption Makes It Absolutely Random And Must Be Done After Compression Or Deduplication This becomes more of an issue with the growth of unstructured data, such as in large businesses. 010101000110101010001101.010 0001101010LI1L010LOO0 0101010001 Zipping seems easy but is very manual -- files have to be compressed, stored, unzipped before any changes 01000 are implemented, changed,1 rezipped, restored...- managed - painful TIOOOTITOTOTTONOTOTOTOTI G01000101 LO10 1100 iaeeanו L01010 1000110 101ע 11010 010100 001101 L0101 Less transmission bandwidth Frees up hard disk space - instantly Less storage cache taken up when data SUMMARY OF is compressed with Real-Time Compression BENEFITS OF REAL-TIME COMPRESSION 7 CORE PROCESSOR Real-Time Compression can actually increase performance Less storage CPU resources required when data is compressed with Real-Time Compression 50% 100% full Reliable and space-conserving backup PLAYERS IN THE MARKET DELL EMC where information lives IBM ORACLE Only IBM does both compression and decompression in real-time NetApp WinZip 0101010101 LZW 1010110101 1010101010 1010101010 1010101100 Algorithm WE Invented 1949 1970s 1977 1990s In 1949, the first systematic way to assign codewords based on probabilities of blocks was invented. Mid 1970s: Huffman Coding invented 1977: LZW algorithm invented • 1990s: Lossy Compression invented INFO GRAPHIC WORLD Wikibon "The Ability to Understand the Data Your Organization is Collecting in Real-Time and Make Decisions Immediately" 101010 WHY IS00. 10001 110101 Real-Time Compression 1101010Important?010 L010100 The volume of essential data that businesses must have instant access to at all times is huge and increasing daily. The Web is becoming real-time. Real-time analytics, real-time ad O serving, real-time everything. 00 01 00 01 62% 0100011 101010 01 Digital Information 00 0.00011010 101 707 The rapid growth of data is the problem. Even in 2009's "Great Recession," the amount of digital information grew 62% over 2008 to 800 billion gigabytes. What's critical to realize is that 35% more digital information is created today than the capacity exists to store it; and this number will jump to over 60% over the next several years. תיי" How will organizations that support the infrastructure for storing this data be able to support this growth? Different technology solutions are available for the enterprise: Thin provisioning, virtualization, automated tiering, deduplication, flash, and real-time compression 000110 More And More Businesses Are Even Beginning To Use Real-Time Compression Which Automatically Reduces Capacity Requirements Instantaneously By Eliminating Unnecessary Compressing Data As It Is Stored. Real-Time Compression is good in databases where there is lots of spare space. You have to be able to break it up - you cannot wait until you have compressed the whole file. and deal with it "there and then" - Real-Time File types Home Directories - VMware - Data- - CAD/CAM - Seismic - Compression is great for: bases - Data Types - vector data that is highly compressible Real-Time Compression leverages in- dustry standard, tried, true, tested LZ Compression 10101000 0001101 Disadvantage: Does not work on all file types - already compressed images (JPG), and audio/video files It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's saved to the hard disk) It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's Saved to the hard disk) 101010001 000110101 1100 010101 100011 1011016 docusent.xnl.relstE"al-1IATY Ocument.xml.relst 30s°m Data Encryption Makes It Absolutely Random And Must Be Done After Compression Or Deduplication This becomes more of an issue with the growth of unstructured data, such as in large businesses. 010101000110101010001101.010 0001101010LI1L010LOO0 0101010001 Zipping seems easy but is very manual -- files have to be compressed, stored, unzipped before any changes 01000 are implemented, changed,1 rezipped, restored...- managed - painful TIOOOTITOTOTTONOTOTOTOTI LO10 1100 001101 L01010 1000110 101ע 11010 010100 001101 L0101 Less transmission bandwidth Frees up hard disk space - instantly Less storage cache taken up when data SUMMARY OF is compressed with Real-Time Compression BENEFITS OF REAL-TIME COMPRESSION 7 CORE PROCESSOR Real-Time Compression can actually increase performance Less storage CPU resources required when data is compressed with Real-Time Compression 50% 100% full Reliable and space-conserving backup PLAYERS IN THE MARKET DELL EMC where information lives IBM ORACLE Only IBM does both compression and decompression in real-time NetApp WinZip 0101010101 LZW 1010110101 1010101010 1010101010 1010101100 Algorithm WE Invented 1949 1970s 1977 1990s In 1949, the first systematic way to assign codewords based on probabilities of blocks was invented. Mid 1970s: Huffman Coding invented 1977: LZW algorithm invented • 1990s: Lossy Compression invented INFO GRAPHIC WORLD Wikibon "The Ability to Understand the Data Your Organization is Collecting in Real-Time and Make Decisions Immediately" 101010 WHY IS00. 10001 110101 Real-Time Compression 1101010Important?010 L010100 The volume of essential data that businesses must have instant access to at all times is huge and increasing daily. The Web is becoming real-time. Real-time analytics, real-time ad O serving, real-time everything. 00 01 00 01 62% 0100011 101010 01 Digital Information 00 0.00011010 101 707 The rapid growth of data is the problem. Even in 2009's "Great Recession," the amount of digital information grew 62% over 2008 to 800 billion gigabytes. What's critical to realize is that 35% more digital information is created today than the capacity exists to store it; and this number will jump to over 60% over the next several years. תיי" How will organizations that support the infrastructure for storing this data be able to support this growth? Different technology solutions are available for the enterprise: Thin provisioning, virtualization, automated tiering, deduplication, flash, and real-time compression 000110 More And More Businesses Are Even Beginning To Use Real-Time Compression Which Automatically Reduces Capacity Requirements Instantaneously By Eliminating Unnecessary Compressing Data As It Is Stored. Real-Time Compression is good in databases where there is lots of spare space. You have to be able to break it up - you cannot wait until you have compressed the whole file. and deal with it "there and then" - Real-Time File types Home Directories - VMware - Data- - CAD/CAM - Seismic - Compression is great for: bases - Data Types - vector data that is highly compressible Real-Time Compression leverages in- dustry standard, tried, true, tested LZ Compression 10101000 0001101 Disadvantage: Does not work on all file types - already compressed images (JPG), and audio/video files It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's saved to the hard disk) It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's Saved to the hard disk) 101010001 000110101 1100 010101 100011 1011016 docusent.xnl.relstE"al-1IATY Ocument.xml.relst 30s°m Data Encryption Makes It Absolutely Random And Must Be Done After Compression Or Deduplication This becomes more of an issue with the growth of unstructured data, such as in large businesses. 010101000110101010001101.010 0001101010LI1L010LOO0 0101010001 Zipping seems easy but is very manual -- files have to be compressed, stored, unzipped before any changes 01000 are implemented, changed,1 rezipped, restored...- managed - painful TIOOOTITOTOTTONOTOTOTOTI LO10 1100 001101 L01010 1000110 101ע 11010 010100 001101 L0101 Less transmission bandwidth Frees up hard disk space - instantly Less storage cache taken up when data SUMMARY OF is compressed with Real-Time Compression BENEFITS OF REAL-TIME COMPRESSION 7 CORE PROCESSOR Real-Time Compression can actually increase performance Less storage CPU resources required when data is compressed with Real-Time Compression 50% 100% full Reliable and space-conserving backup PLAYERS IN THE MARKET DELL EMC where information lives IBM ORACLE Only IBM does both compression and decompression in real-time NetApp WinZip 0101010101 LZW 1010110101 1010101010 1010101010 1010101100 Algorithm WE Invented 1949 1970s 1977 1990s In 1949, the first systematic way to assign codewords based on probabilities of blocks was invented. Mid 1970s: Huffman Coding invented 1977: LZW algorithm invented • 1990s: Lossy Compression invented INFO GRAPHIC WORLD Wikibon "The Ability to Understand the Data Your Organization is Collecting in Real-Time and Make Decisions Immediately" 101010 WHY IS00. 10001 110101 Real-Time Compression 1101010Important?010 L010100 The volume of essential data that businesses must have instant access to at all times is huge and increasing daily. The Web is becoming real-time. Real-time analytics, real-time ad O serving, real-time everything. 00 01 00 01 62% 0100011 101010 01 Digital Information 00 0.00011010 101 707 The rapid growth of data is the problem. Even in 2009's "Great Recession," the amount of digital information grew 62% over 2008 to 800 billion gigabytes. What's critical to realize is that 35% more digital information is created today than the capacity exists to store it; and this number will jump to over 60% over the next several years. תיי" How will organizations that support the infrastructure for storing this data be able to support this growth? Different technology solutions are available for the enterprise: Thin provisioning, virtualization, automated tiering, deduplication, flash, and real-time compression 000110 More And More Businesses Are Even Beginning To Use Real-Time Compression Which Automatically Reduces Capacity Requirements Instantaneously By Eliminating Unnecessary Compressing Data As It Is Stored. Real-Time Compression is good in databases where there is lots of spare space. You have to be able to break it up - you cannot wait until you have compressed the whole file. and deal with it "there and then" - Real-Time File types Home Directories - VMware - Data- - CAD/CAM - Seismic - Compression is great for: bases - Data Types - vector data that is highly compressible Real-Time Compression leverages in- dustry standard, tried, true, tested LZ Compression 10101000 0001101 Disadvantage: Does not work on all file types - already compressed images (JPG), and audio/video files It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's saved to the hard disk) It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's Saved to the hard disk) 101010001 000110101 1100 010101 100011 1011016 docusent.xnl.relstE"al-1IATY Ocument.xml.relst 30s°m Data Encryption Makes It Absolutely Random And Must Be Done After Compression Or Deduplication This becomes more of an issue with the growth of unstructured data, such as in large businesses. 010101000110101010001101.010 0001101010LI1L010LOO0 0101010001 Zipping seems easy but is very manual -- files have to be compressed, stored, unzipped before any changes 01000 are implemented, changed,1 rezipped, restored...- managed - painful TIOOOTITOTOTTONOTOTOTOTI LO10 1100 001101 L01010 1000110 101ע 11010 010100 001101 L0101 Less transmission bandwidth Frees up hard disk space - instantly Less storage cache taken up when data SUMMARY OF is compressed with Real-Time Compression BENEFITS OF REAL-TIME COMPRESSION 7 CORE PROCESSOR Real-Time Compression can actually increase performance Less storage CPU resources required when data is compressed with Real-Time Compression 50% 100% full Reliable and space-conserving backup PLAYERS IN THE MARKET DELL EMC where information lives IBM ORACLE Only IBM does both compression and decompression in real-time NetApp WinZip 0101010101 LZW 1010110101 1010101010 1010101010 1010101100 Algorithm WE Invented 1949 1970s 1977 1990s In 1949, the first systematic way to assign codewords based on probabilities of blocks was invented. Mid 1970s: Huffman Coding invented 1977: LZW algorithm invented • 1990s: Lossy Compression invented INFO GRAPHIC WORLD Wikibon "The Ability to Understand the Data Your Organization is Collecting in Real-Time and Make Decisions Immediately" 101010 WHY IS00. 10001 110101 Real-Time Compression 1101010Important?010 L010100 The volume of essential data that businesses must have instant access to at all times is huge and increasing daily. The Web is becoming real-time. Real-time analytics, real-time ad O serving, real-time everything. 00 01 00 01 62% 0100011 101010 01 Digital Information 00 0.00011010 101 707 The rapid growth of data is the problem. Even in 2009's "Great Recession," the amount of digital information grew 62% over 2008 to 800 billion gigabytes. What's critical to realize is that 35% more digital information is created today than the capacity exists to store it; and this number will jump to over 60% over the next several years. תיי" How will organizations that support the infrastructure for storing this data be able to support this growth? Different technology solutions are available for the enterprise: Thin provisioning, virtualization, automated tiering, deduplication, flash, and real-time compression 000110 More And More Businesses Are Even Beginning To Use Real-Time Compression Which Automatically Reduces Capacity Requirements Instantaneously By Eliminating Unnecessary Compressing Data As It Is Stored. Real-Time Compression is good in databases where there is lots of spare space. You have to be able to break it up - you cannot wait until you have compressed the whole file. and deal with it "there and then" - Real-Time File types Home Directories - VMware - Data- - CAD/CAM - Seismic - Compression is great for: bases - Data Types - vector data that is highly compressible Real-Time Compression leverages in- dustry standard, tried, true, tested LZ Compression 10101000 0001101 Disadvantage: Does not work on all file types - already compressed images (JPG), and audio/video files It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's saved to the hard disk) It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's Saved to the hard disk) 101010001 000110101 1100 010101 100011 1011016 docusent.xnl.relstE"al-1IATY Ocument.xml.relst 30s°m Data Encryption Makes It Absolutely Random And Must Be Done After Compression Or Deduplication This becomes more of an issue with the growth of unstructured data, such as in large businesses. 010101000110101010001101.010 0001101010LI1L010LOO0 0101010001 Zipping seems easy but is very manual -- files have to be compressed, stored, unzipped before any changes 01000 are implemented, changed,1 rezipped, restored...- managed - painful TIOOOTITOTOTTONOTOTOTOTI LO10 1100 001101 L01010 1000110 101ע 11010 010100 001101 L0101 Less transmission bandwidth Frees up hard disk space - instantly Less storage cache taken up when data SUMMARY OF is compressed with Real-Time Compression BENEFITS OF REAL-TIME COMPRESSION 7 CORE PROCESSOR Real-Time Compression can actually increase performance Less storage CPU resources required when data is compressed with Real-Time Compression 50% 100% full Reliable and space-conserving backup PLAYERS IN THE MARKET DELL EMC where information lives IBM ORACLE Only IBM does both compression and decompression in real-time NetApp WinZip 0101010101 LZW 1010110101 1010101010 1010101010 1010101100 Algorithm WE Invented 1949 1970s 1977 1990s In 1949, the first systematic way to assign codewords based on probabilities of blocks was invented. Mid 1970s: Huffman Coding invented 1977: LZW algorithm invented • 1990s: Lossy Compression invented INFO GRAPHIC WORLD Wikibon "The Ability to Understand the Data Your Organization is Collecting in Real-Time and Make Decisions Immediately" 101010 WHY IS00. 10001 110101 Real-Time Compression 1101010Important?010 L010100 The volume of essential data that businesses must have instant access to at all times is huge and increasing daily. The Web is becoming real-time. Real-time analytics, real-time ad O serving, real-time everything. 00 01 00 01 62% 0100011 101010 01 Digital Information 00 0.00011010 101 707 The rapid growth of data is the problem. Even in 2009's "Great Recession," the amount of digital information grew 62% over 2008 to 800 billion gigabytes. What's critical to realize is that 35% more digital information is created today than the capacity exists to store it; and this number will jump to over 60% over the next several years. תיי" How will organizations that support the infrastructure for storing this data be able to support this growth? Different technology solutions are available for the enterprise: Thin provisioning, virtualization, automated tiering, deduplication, flash, and real-time compression 000110 More And More Businesses Are Even Beginning To Use Real-Time Compression Which Automatically Reduces Capacity Requirements Instantaneously By Eliminating Unnecessary Compressing Data As It Is Stored. Real-Time Compression is good in databases where there is lots of spare space. You have to be able to break it up - you cannot wait until you have compressed the whole file. and deal with it "there and then" - Real-Time File types Home Directories - VMware - Data- - CAD/CAM - Seismic - Compression is great for: bases - Data Types - vector data that is highly compressible Real-Time Compression leverages in- dustry standard, tried, true, tested LZ Compression 10101000 0001101 Disadvantage: Does not work on all file types - already compressed images (JPG), and audio/video files It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's saved to the hard disk) It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's Saved to the hard disk) 101010001 000110101 1100 010101 100011 1011016 docusent.xnl.relstE"al-1IATY Ocument.xml.relst 30s°m Data Encryption Makes It Absolutely Random And Must Be Done After Compression Or Deduplication This becomes more of an issue with the growth of unstructured data, such as in large businesses. 010101000110101010001101.010 0001101010LI1L010LOO0 0101010001 Zipping seems easy but is very manual -- files have to be compressed, stored, unzipped before any changes 01000 are implemented, changed,1 rezipped, restored...- managed - painful TIOOOTITOTOTTONOTOTOTOTI LO10 1100 001101 L01010 1000110 101ע 11010 010100 001101 L0101 Less transmission bandwidth Frees up hard disk space - instantly Less storage cache taken up when data SUMMARY OF is compressed with Real-Time Compression BENEFITS OF REAL-TIME COMPRESSION 7 CORE PROCESSOR Real-Time Compression can actually increase performance Less storage CPU resources required when data is compressed with Real-Time Compression 50% 100% full Reliable and space-conserving backup PLAYERS IN THE MARKET DELL EMC where information lives IBM ORACLE Only IBM does both compression and decompression in real-time NetApp WinZip 0101010101 LZW 1010110101 1010101010 1010101010 1010101100 Algorithm WE Invented 1949 1970s 1977 1990s In 1949, the first systematic way to assign codewords based on probabilities of blocks was invented. Mid 1970s: Huffman Coding invented 1977: LZW algorithm invented • 1990s: Lossy Compression invented INFO GRAPHIC WORLD Wikibon "The Ability to Understand the Data Your Organization is Collecting in Real-Time and Make Decisions Immediately" 101010 WHY IS00. 10001 110101 Real-Time Compression 1101010Important?010 L010100 The volume of essential data that businesses must have instant access to at all times is huge and increasing daily. The Web is becoming real-time. Real-time analytics, real-time ad O serving, real-time everything. 00 01 00 01 62% 0100011 101010 01 Digital Information 00 0.00011010 101 707 The rapid growth of data is the problem. Even in 2009's "Great Recession," the amount of digital information grew 62% over 2008 to 800 billion gigabytes. What's critical to realize is that 35% more digital information is created today than the capacity exists to store it; and this number will jump to over 60% over the next several years. תיי" How will organizations that support the infrastructure for storing this data be able to support this growth? Different technology solutions are available for the enterprise: Thin provisioning, virtualization, automated tiering, deduplication, flash, and real-time compression 000110 More And More Businesses Are Even Beginning To Use Real-Time Compression Which Automatically Reduces Capacity Requirements Instantaneously By Eliminating Unnecessary Compressing Data As It Is Stored. Real-Time Compression is good in databases where there is lots of spare space. You have to be able to break it up - you cannot wait until you have compressed the whole file. and deal with it "there and then" - Real-Time File types Home Directories - VMware - Data- - CAD/CAM - Seismic - Compression is great for: bases - Data Types - vector data that is highly compressible Real-Time Compression leverages in- dustry standard, tried, true, tested LZ Compression 10101000 0001101 Disadvantage: Does not work on all file types - already compressed images (JPG), and audio/video files It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's saved to the hard disk) It begins saving information immediately -- just as soon as a file is opened to be read or written (before it's Saved to the hard disk) 101010001 000110101 1100 010101 100011 1011016 docusent.xnl.relstE"al-1IATY Ocument.xml.relst 30s°m Data Encryption Makes It Absolutely Random And Must Be Done After Compression Or Deduplication This becomes more of an issue with the growth of unstructured data, such as in large businesses. 010101000110101010001101.010 0001101010LI1L010LOO0 0101010001 Zipping seems easy but is very manual -- files have to be compressed, stored, unzipped before any changes 01000 are implemented, changed,1 rezipped, restored...- managed - painful TIOOOTITOTOTTONOTOTOTOTI LO10 1100 001101 L01010 1000110 101ע 11010 010100 001101 L0101 Less transmission bandwidth Frees up hard disk space - instantly Less storage cache taken up when data SUMMARY OF is compressed with Real-Time Compression BENEFITS OF REAL-TIME COMPRESSION 7 CORE PROCESSOR Real-Time Compression can actually increase performance Less storage CPU resources required when data is compressed with Real-Time Compression 50% 100% full Reliable and space-conserving backup PLAYERS IN THE MARKET DELL EMC where information lives IBM ORACLE Only IBM does both compression and decompression in real-time NetApp WinZip 0101010101 LZW 1010110101 1010101010 1010101010 1010101100 Algorithm WE Invented 1949 1970s 1977 1990s In 1949, the first systematic way to assign codewords based on probabilities of blocks was invented. Mid 1970s: Huffman Coding invented 1977: LZW algorithm invented • 1990s: Lossy Compression invented INFO GRAPHIC WORLD Wikibon