SAP HANA utilizes cutting-edge in-memory computing technology to provide the enterprise with real-time data and avail a competitive edge.
In 2013, I have created this presentation for the SAP HANA workshop conducted by me. Primarily, before jumping into HANA, audience needs a smooth transition...required to understand the proper necessity to attend the workshop.
Many modern and emerging applications must process huge amounts of data.
Unfortunately, prevalent computer architectures are based on the von Neumann design, where processing units and memory units are located apart, which make them highly inefficient for large-scale data intensive tasks.
The performance and energy costs when executing this type of applications are dominated by the movement of data between memory units and processing units. This is known as the von Neumann bottleneck.
Processing-in-Memory (PIM) is a computing paradigm that avoids most of this data movement by putting together, in the same place or near, computation and data.
This talk will give an overview of PIM and will discuss some of the key enabling technologies.
Next I will present some of our research results in that area, specifically in the application areas of genome sequence alignment and time series analysis.
The document discusses different types of computer memory technologies. It describes primary memory, which is directly accessible by the CPU and includes RAM and ROM. RAM is further divided into SRAM and DRAM. SRAM retains data as long as power is on, while DRAM requires periodic refreshing. ROM includes PROM, which can be programmed once, and EPROM, which can be erased and reprogrammed. Secondary memory, like hard disks, is non-volatile storage that is less expensive than primary memory. Caches improve memory access speed by storing the most recently used data from main memory.
This document provides an overview of DRAM circuit and architecture basics. It discusses topics such as DRAM cell components, access protocols including row and column access, sense amplifiers, and address decoding. It also covers DRAM speed characteristics such as RCD, CAS latency, and row cycle time. The document traces the evolution of DRAM through technologies like FPM, EDO, SDRAM, and describes how each aimed to improve throughput and latency.
Memory is organized in a hierarchy to balance speed, size, and cost. This includes registers, cache, main memory, and secondary storage. The memory hierarchy places faster but smaller and more expensive memory closer to the CPU. Main memory uses DRAM chips that are organized into rows and columns. Cache memory uses SRAM and exploits locality to provide faster access than main memory.
RAM(Random Access Memory) is a part of computer's Main Memory which is directly accessible by CPU. RAM is used to Read and Write data into it which is accessed by CPU randomly. RAM is volatile in nature, it means if the power goes off, the stored information is lost.
Modern processors are faster than memory
So Processors may waste time for accessing memory
Its purpose is to make the main memory appear to the processor to be much faster than it actually is
RAM is a type of volatile memory that is used for temporary storage. It allows data to be accessed randomly in any order. There are different types of RAM such as static RAM, dynamic RAM, SDRAM, and DDR SDRAM. RAM is part of a memory hierarchy that includes processor registers, cache memory levels L1-L3, main memory, and virtual memory. Future RAM technologies aim to provide memory that is smaller, faster, and cheaper than current memory chips.
SAP HANA utilizes cutting-edge in-memory computing technology to provide the enterprise with real-time data and avail a competitive edge.
In 2013, I have created this presentation for the SAP HANA workshop conducted by me. Primarily, before jumping into HANA, audience needs a smooth transition...required to understand the proper necessity to attend the workshop.
Many modern and emerging applications must process huge amounts of data.
Unfortunately, prevalent computer architectures are based on the von Neumann design, where processing units and memory units are located apart, which make them highly inefficient for large-scale data intensive tasks.
The performance and energy costs when executing this type of applications are dominated by the movement of data between memory units and processing units. This is known as the von Neumann bottleneck.
Processing-in-Memory (PIM) is a computing paradigm that avoids most of this data movement by putting together, in the same place or near, computation and data.
This talk will give an overview of PIM and will discuss some of the key enabling technologies.
Next I will present some of our research results in that area, specifically in the application areas of genome sequence alignment and time series analysis.
The document discusses different types of computer memory technologies. It describes primary memory, which is directly accessible by the CPU and includes RAM and ROM. RAM is further divided into SRAM and DRAM. SRAM retains data as long as power is on, while DRAM requires periodic refreshing. ROM includes PROM, which can be programmed once, and EPROM, which can be erased and reprogrammed. Secondary memory, like hard disks, is non-volatile storage that is less expensive than primary memory. Caches improve memory access speed by storing the most recently used data from main memory.
This document provides an overview of DRAM circuit and architecture basics. It discusses topics such as DRAM cell components, access protocols including row and column access, sense amplifiers, and address decoding. It also covers DRAM speed characteristics such as RCD, CAS latency, and row cycle time. The document traces the evolution of DRAM through technologies like FPM, EDO, SDRAM, and describes how each aimed to improve throughput and latency.
Memory is organized in a hierarchy to balance speed, size, and cost. This includes registers, cache, main memory, and secondary storage. The memory hierarchy places faster but smaller and more expensive memory closer to the CPU. Main memory uses DRAM chips that are organized into rows and columns. Cache memory uses SRAM and exploits locality to provide faster access than main memory.
RAM(Random Access Memory) is a part of computer's Main Memory which is directly accessible by CPU. RAM is used to Read and Write data into it which is accessed by CPU randomly. RAM is volatile in nature, it means if the power goes off, the stored information is lost.
Modern processors are faster than memory
So Processors may waste time for accessing memory
Its purpose is to make the main memory appear to the processor to be much faster than it actually is
RAM is a type of volatile memory that is used for temporary storage. It allows data to be accessed randomly in any order. There are different types of RAM such as static RAM, dynamic RAM, SDRAM, and DDR SDRAM. RAM is part of a memory hierarchy that includes processor registers, cache memory levels L1-L3, main memory, and virtual memory. Future RAM technologies aim to provide memory that is smaller, faster, and cheaper than current memory chips.
Memory organization
Memory Organization in Computer Architecture. A memory unit is the collection of storage units or devices together. The memory unit stores the binary information in the form of bits. ... Volatile Memory: This loses its data, when power is switched off.
Microprocessors are electronic circuits that function as the central processing unit (CPU) of computers and other electronic devices. They incorporate arithmetic, logic, and control circuitry to perform computational tasks. Early microprocessors from the 1970s contained only a few thousand transistors, while modern microprocessors can contain over a billion transistors. Microprocessors are manufactured using complex semiconductor fabrication techniques involving deposition and etching of thin layers to build up the transistor circuits. They are key components that power all modern computers and many other electronic devices.
The document discusses various types of computer memory technologies, including RAM types like DRAM, SRAM, DDR, DDR2, and DDR3. It explains the memory hierarchy from registers to cache to main memory to disks. Key points covered include how DRAM works using capacitors that must be periodically refreshed, advantages of SDRAM over regular DRAM like pipelining commands. Generations of DDR memory are compared in terms of clock speeds, data rates, and other features.
The document discusses Nvidia's Tesla personal supercomputer, which uses multiple Tesla C1060 GPUs to provide supercomputer-level performance. Each C1060 GPU contains 240 processor cores running at 1.296GHz, 4GB of memory, and provides 933 gigaflops of processing power. The GPUs use Nvidia's CUDA parallel computing architecture and can accelerate applications up to 250 times compared to standard PCs. The supercomputers are aimed at scientific and medical research by providing affordable access to high-performance computing.
Memory Hierarchy
The memory unit is an essential component in any digital computer since it is needed for storing programs and data
Not all accumulated information is needed by the CPU at the same time
Therefore, it is more economical to use low-cost storage devices to serve as a backup for storing the information that is not currently used by CPU
auxiliary memory
main memory
cache memory
RAM– Random Access memory
Random Access Memory Types
Dynamic RAM (DRAM)
ROM(Read Only Memory)
ROM(Read Only Memory)
Asynchronous DRAM (ADRAM) is widely used due to its internal architecture and interface to the processor's memory bus. However, ADRAM has slow access times which degrade system performance. Synchronous DRAM (SDRAM) was developed to exchange data with the processor synchronized by an external clock, allowing full processor speed without wait states. Later, Double Data Rate SDRAM and Rambus DRAM were introduced to increase data transfer rates.
The document provides information about RISC processors and the ARM architecture. It discusses key aspects of RISC design including simple instructions that can execute in a single cycle, pipelining of instruction execution, large general purpose registers, and separate load and store instructions. It also describes features of the ARM architecture like variable cycle instructions, a barrel shifter, conditional execution, and the Thumb instruction set. Additionally, it covers ARM embedded system basics, the ARM design philosophy, and software components like initialization code, operating systems, and applications.
This document discusses different types of RAM. It begins by introducing RAM as random access memory that can be accessed in any order and location. The two main types are static RAM (SRAM) and dynamic RAM (DRAM). SRAM is more expensive but has very low access times, while DRAM is lower cost but needs periodic refreshing. The document then describes different variants of DRAM over time that provide faster access, including FPM, EDO, SDRAM, DDR, DDR2 and RDRAM.
The document discusses different approaches to writing data to caches, including write-through caches that update both the cache and main memory on writes, and write-back caches that only update main memory when replacing cache blocks. It also describes modern CPU cache designs, such as split instruction/data caches, write buffers, multiple cache levels, and techniques to reduce memory stalls like non-blocking caches and cache banking.
The document defines optical storage and discusses optical disc drives. It explains that optical drives use lasers to read and write data to optical discs by detecting light reflections from bumps and areas on the disc's surface. The document outlines different types of optical media like CDs, DVDs, and Blu-rays, as well as read-only, rewritable, double-sided, and double-layer media. It also describes how optical drives spin and move discs to read data and how recorders encode data onto discs using lasers.
Secondary memory refers to computer storage that is not directly accessible by the CPU and requires input/output channels to access. It includes storage devices like hard disks, floppy disks, CDs/DVDs, flash drives, and magnetic tapes. Secondary memory provides higher storage capacity than primary memory (RAM) and stores data and programs long-term, even when the computer is powered off. Common examples are hard disks, which can store hundreds of times more data than RAM but are slower to access.
TYPES OF MEMORIES AND STORAGE DEVICE AND COMPUTER Rajat More
Memory refers to the physical devices used to store programs and data in a computer. Main memory is divided into RAM and ROM. RAM is read-write memory that uses transistors and capacitors to store each bit. There are two types of RAM: static RAM which does not need refreshing but is expensive, and dynamic RAM which needs refreshing but has higher density. ROM is read-only and stores permanent instructions. There are also programmable ROMs like PROM, EPROM, and EEPROM that can be programmed and erased in different ways. Caches and secondary storage supplement main memory and improve performance. Common secondary storage devices include magnetic disks, tapes and optical discs.
Ppt cache vs virtual memory without animationanimesh jain
Cache memory is a type of faster memory between the CPU and RAM that stores frequently accessed data to reduce memory access time. Virtual memory is a memory management technique that uses RAM and hard disk space to provide programs with virtual memory addresses that are larger than the physical RAM. Cache memory exists as a hardware component whereas virtual memory is a software and hardware concept using RAM, hard disk, and memory mappings. The key difference is that cache memory improves memory access time using actual hardware, while virtual memory allows for larger isolated memory spaces by simulating memory using RAM and disk space managed by the operating system.
The document discusses the Intel 80286 microprocessor. It introduces the 80286 as a 16-bit microprocessor introduced in 1982 with separate address and data buses. It had approximately 134,000 transistors and clock speeds up to 12.5 MHz. The 80286 supported both real and protected virtual addressing modes, advanced memory management, and was compatible with the 8086 instruction set. It had features like 4-level memory protection and could address up to 16MB of physical memory or 1GB of virtual memory.
Random access memory, or RAM, is a hardware device that allows information to be stored and retrieved on a computer. RAM is volatile memory, meaning it does not retain data when power is turned off. There are two main types of RAM: static RAM (SRAM) which is faster but more expensive, and dynamic RAM (DRAM) which is slower but less expensive and more commonly used. RAM is used for temporary storage and working space for the operating system and applications, and its data can be accessed in any order, giving it its name random access memory.
The document discusses the organization and operation of dynamic random access memory (DRAM). DRAM uses capacitors to store bits of data in memory cells that must be periodically refreshed. It describes how DRAM cells are arranged in a grid structure with rows and columns, and how row and column addresses are used to access individual cells. The document also explains techniques like fast page mode that allow for faster access to blocks of data within the same row without needing to reselect the row address.
HPC stands for high performance computing and refers to systems that provide more computing power than is generally available. HPC bridges the gap between what small organizations can afford and what supercomputers provide. HPC uses clusters of commodity hardware and parallel processing techniques to increase processing speed and efficiency while reducing costs. Key applications of HPC include geographic information systems, bioinformatics, weather forecasting, and online transaction processing.
Presentation on History of Microcontroller(Updated - 2)ALPESH MARU
The document provides a history of microcontrollers beginning with the development of the first microprocessor by Intel in the early 1970s. It then discusses how Texas Instruments engineer Gary Boone developed the first single-chip microcontroller called the TMS1802NC in the early 1970s. The document outlines some of the key developments in microcontrollers over subsequent decades, including Intel's 8048 and 8051 microcontrollers, the introduction of EEPROM and flash memory technologies, and modern microcontrollers used in various applications today.
The DMA controller (8257) allows data transfer between I/O devices and memory without CPU involvement. It has 4 independent channels that can be programmed to transfer data via DMA read, write, or verify operations. The 8257 interfaces with the 8085 microprocessor by controlling address/data buses and generating control signals during DMA cycles when it acts as the bus master.
IN-MEMORY DATABASE SYSTEMS FOR BIG DATA MANAGEMENT.SAP HANA DATABASE.George Joseph
SAP HANA is an in-memory database system that stores data in main memory rather than on disk for faster access. It uses a column-oriented approach to optimize analytical queries. SAP HANA can scale from small single-server installations to very large clusters and cloud deployments. Its massively parallel processing architecture and in-memory analytics capabilities enable real-time processing of large datasets.
sap hana|sap hana database| Introduction to sap hanaJames L. Lee
SAP HANA, sap hana implementation scenarios, sap hana deployment scenarios, SAP HANA Implementations, sap hana implementation and modeling, sap hana implementation cost, sap hana implementation partners, Applications based on SAP HANA, SAP HANA Databases.
Memory organization
Memory Organization in Computer Architecture. A memory unit is the collection of storage units or devices together. The memory unit stores the binary information in the form of bits. ... Volatile Memory: This loses its data, when power is switched off.
Microprocessors are electronic circuits that function as the central processing unit (CPU) of computers and other electronic devices. They incorporate arithmetic, logic, and control circuitry to perform computational tasks. Early microprocessors from the 1970s contained only a few thousand transistors, while modern microprocessors can contain over a billion transistors. Microprocessors are manufactured using complex semiconductor fabrication techniques involving deposition and etching of thin layers to build up the transistor circuits. They are key components that power all modern computers and many other electronic devices.
The document discusses various types of computer memory technologies, including RAM types like DRAM, SRAM, DDR, DDR2, and DDR3. It explains the memory hierarchy from registers to cache to main memory to disks. Key points covered include how DRAM works using capacitors that must be periodically refreshed, advantages of SDRAM over regular DRAM like pipelining commands. Generations of DDR memory are compared in terms of clock speeds, data rates, and other features.
The document discusses Nvidia's Tesla personal supercomputer, which uses multiple Tesla C1060 GPUs to provide supercomputer-level performance. Each C1060 GPU contains 240 processor cores running at 1.296GHz, 4GB of memory, and provides 933 gigaflops of processing power. The GPUs use Nvidia's CUDA parallel computing architecture and can accelerate applications up to 250 times compared to standard PCs. The supercomputers are aimed at scientific and medical research by providing affordable access to high-performance computing.
Memory Hierarchy
The memory unit is an essential component in any digital computer since it is needed for storing programs and data
Not all accumulated information is needed by the CPU at the same time
Therefore, it is more economical to use low-cost storage devices to serve as a backup for storing the information that is not currently used by CPU
auxiliary memory
main memory
cache memory
RAM– Random Access memory
Random Access Memory Types
Dynamic RAM (DRAM)
ROM(Read Only Memory)
ROM(Read Only Memory)
Asynchronous DRAM (ADRAM) is widely used due to its internal architecture and interface to the processor's memory bus. However, ADRAM has slow access times which degrade system performance. Synchronous DRAM (SDRAM) was developed to exchange data with the processor synchronized by an external clock, allowing full processor speed without wait states. Later, Double Data Rate SDRAM and Rambus DRAM were introduced to increase data transfer rates.
The document provides information about RISC processors and the ARM architecture. It discusses key aspects of RISC design including simple instructions that can execute in a single cycle, pipelining of instruction execution, large general purpose registers, and separate load and store instructions. It also describes features of the ARM architecture like variable cycle instructions, a barrel shifter, conditional execution, and the Thumb instruction set. Additionally, it covers ARM embedded system basics, the ARM design philosophy, and software components like initialization code, operating systems, and applications.
This document discusses different types of RAM. It begins by introducing RAM as random access memory that can be accessed in any order and location. The two main types are static RAM (SRAM) and dynamic RAM (DRAM). SRAM is more expensive but has very low access times, while DRAM is lower cost but needs periodic refreshing. The document then describes different variants of DRAM over time that provide faster access, including FPM, EDO, SDRAM, DDR, DDR2 and RDRAM.
The document discusses different approaches to writing data to caches, including write-through caches that update both the cache and main memory on writes, and write-back caches that only update main memory when replacing cache blocks. It also describes modern CPU cache designs, such as split instruction/data caches, write buffers, multiple cache levels, and techniques to reduce memory stalls like non-blocking caches and cache banking.
The document defines optical storage and discusses optical disc drives. It explains that optical drives use lasers to read and write data to optical discs by detecting light reflections from bumps and areas on the disc's surface. The document outlines different types of optical media like CDs, DVDs, and Blu-rays, as well as read-only, rewritable, double-sided, and double-layer media. It also describes how optical drives spin and move discs to read data and how recorders encode data onto discs using lasers.
Secondary memory refers to computer storage that is not directly accessible by the CPU and requires input/output channels to access. It includes storage devices like hard disks, floppy disks, CDs/DVDs, flash drives, and magnetic tapes. Secondary memory provides higher storage capacity than primary memory (RAM) and stores data and programs long-term, even when the computer is powered off. Common examples are hard disks, which can store hundreds of times more data than RAM but are slower to access.
TYPES OF MEMORIES AND STORAGE DEVICE AND COMPUTER Rajat More
Memory refers to the physical devices used to store programs and data in a computer. Main memory is divided into RAM and ROM. RAM is read-write memory that uses transistors and capacitors to store each bit. There are two types of RAM: static RAM which does not need refreshing but is expensive, and dynamic RAM which needs refreshing but has higher density. ROM is read-only and stores permanent instructions. There are also programmable ROMs like PROM, EPROM, and EEPROM that can be programmed and erased in different ways. Caches and secondary storage supplement main memory and improve performance. Common secondary storage devices include magnetic disks, tapes and optical discs.
Ppt cache vs virtual memory without animationanimesh jain
Cache memory is a type of faster memory between the CPU and RAM that stores frequently accessed data to reduce memory access time. Virtual memory is a memory management technique that uses RAM and hard disk space to provide programs with virtual memory addresses that are larger than the physical RAM. Cache memory exists as a hardware component whereas virtual memory is a software and hardware concept using RAM, hard disk, and memory mappings. The key difference is that cache memory improves memory access time using actual hardware, while virtual memory allows for larger isolated memory spaces by simulating memory using RAM and disk space managed by the operating system.
The document discusses the Intel 80286 microprocessor. It introduces the 80286 as a 16-bit microprocessor introduced in 1982 with separate address and data buses. It had approximately 134,000 transistors and clock speeds up to 12.5 MHz. The 80286 supported both real and protected virtual addressing modes, advanced memory management, and was compatible with the 8086 instruction set. It had features like 4-level memory protection and could address up to 16MB of physical memory or 1GB of virtual memory.
Random access memory, or RAM, is a hardware device that allows information to be stored and retrieved on a computer. RAM is volatile memory, meaning it does not retain data when power is turned off. There are two main types of RAM: static RAM (SRAM) which is faster but more expensive, and dynamic RAM (DRAM) which is slower but less expensive and more commonly used. RAM is used for temporary storage and working space for the operating system and applications, and its data can be accessed in any order, giving it its name random access memory.
The document discusses the organization and operation of dynamic random access memory (DRAM). DRAM uses capacitors to store bits of data in memory cells that must be periodically refreshed. It describes how DRAM cells are arranged in a grid structure with rows and columns, and how row and column addresses are used to access individual cells. The document also explains techniques like fast page mode that allow for faster access to blocks of data within the same row without needing to reselect the row address.
HPC stands for high performance computing and refers to systems that provide more computing power than is generally available. HPC bridges the gap between what small organizations can afford and what supercomputers provide. HPC uses clusters of commodity hardware and parallel processing techniques to increase processing speed and efficiency while reducing costs. Key applications of HPC include geographic information systems, bioinformatics, weather forecasting, and online transaction processing.
Presentation on History of Microcontroller(Updated - 2)ALPESH MARU
The document provides a history of microcontrollers beginning with the development of the first microprocessor by Intel in the early 1970s. It then discusses how Texas Instruments engineer Gary Boone developed the first single-chip microcontroller called the TMS1802NC in the early 1970s. The document outlines some of the key developments in microcontrollers over subsequent decades, including Intel's 8048 and 8051 microcontrollers, the introduction of EEPROM and flash memory technologies, and modern microcontrollers used in various applications today.
The DMA controller (8257) allows data transfer between I/O devices and memory without CPU involvement. It has 4 independent channels that can be programmed to transfer data via DMA read, write, or verify operations. The 8257 interfaces with the 8085 microprocessor by controlling address/data buses and generating control signals during DMA cycles when it acts as the bus master.
IN-MEMORY DATABASE SYSTEMS FOR BIG DATA MANAGEMENT.SAP HANA DATABASE.George Joseph
SAP HANA is an in-memory database system that stores data in main memory rather than on disk for faster access. It uses a column-oriented approach to optimize analytical queries. SAP HANA can scale from small single-server installations to very large clusters and cloud deployments. Its massively parallel processing architecture and in-memory analytics capabilities enable real-time processing of large datasets.
sap hana|sap hana database| Introduction to sap hanaJames L. Lee
SAP HANA, sap hana implementation scenarios, sap hana deployment scenarios, SAP HANA Implementations, sap hana implementation and modeling, sap hana implementation cost, sap hana implementation partners, Applications based on SAP HANA, SAP HANA Databases.
Larry Ellison Introduces Oracle Database In-MemoryOracleCorporate
On June 10, Larry Ellison launched Oracle Database In-Memory: Delivering on the Promise of the Real-Time Enterprise. Larry Ellison described how the ability to combine real-time data analysis with sub-second transactions on existing applications enables organizations to become Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer’s demands, and continuously optimize key processes. Watch the launch webcast replay here: http://www.oracle.com/us/corporate/events/dbim/index.html
The document announces the official launch of an event or organization on January 24, 2014. It notes that while thousands of B Tech graduates leave university each year, many struggle to find satisfactory jobs. A group of first-year engineering students wishes to change this system by putting ideas into action and creating change. The document provides contact information for principals, heads of departments, faculty members and student associations involved in the initiative.
IT is now an orchestrated possibility with platform, cloud and on demand software vendors. A right view of the components and a framework for orchestration creates interesting possibilities for businesses to leverage it in the most creative ways.
Over the last 7 years, Neobric has delivered business solutions across Social, Mobile, Analytics and Cloud use cases, for both startups and established businesses.
Best practices for mobile app testing neobricNeobric
Building a great app requires to check off against some key points across design, test, security and performance. Here's a quick reckoner for the quality side of mobile app development.
SIGNIFICANCE OF GREEN BUILDINGS IN THE AGE OF CLIMATE CHANGEVishnudev C
This document discusses the significance of ecofriendly, or green, buildings in addressing climate change. It defines green buildings as those that are environmentally responsible and efficient in their use of resources throughout construction and operation. Green buildings can lessen energy consumption and pollution by using renewable energy and reducing emissions. The document then covers topics like the history of the earth's climate, the greenhouse effect, carbon emissions trends, and the role of households in climate change. It emphasizes the importance of materials, water and energy efficiency, indoor environmental quality, and regulatory agencies in green building design.
Module 2,plane table surveying (kannur university)Vishnudev C
This document describes various methods of plane table surveying. It discusses the principle, equipment, setting up, orientation, and main methods - radiation, intersection, traversing, and resection (by compass, backsight, two point, and three point problems). Plane table surveying allows simultaneous field observation and plotting. It is suitable for small scale maps and eliminates errors in field books.
This document summarizes the results of a quiz competition called "Rings of Glory - Finals". It provides the rules of the competition and outlines the various quiz rounds, questions asked, and participant responses. The competition involved 6 rounds with topics covering Olympics history, athletes, games, and achievements. Participants were awarded points for correct answers and lost points for incorrect answers. The rounds tested their knowledge of Olympic games, athletes, events, achievements and more through connecting statements, fill-in-the-blanks, and identification questions.
In-memory computing stores information in RAM rather than on disk drives for faster access. It allows companies to analyze large amounts of data quickly and perform operations more efficiently. As memory prices drop, in-memory computing is becoming more widespread. Some companies like SAP and Oracle have adapted in-memory concepts, processing data 1000 times faster. In-memory databases provide advantages like faster transactions and high stability for applications requiring quick response times.
This document provides a summary of the Gartner Cool Vendors in In-Memory Computing Technologies report from 2014. It identifies four vendors as cool vendors: Diablo Technologies, GridGain, MemSQL, and Relex. For each vendor, it provides a brief overview of the company and technology, as well as challenges they may face. It recommends IT leaders consider these vendors' in-memory computing solutions for opportunities like hybrid transaction/analytical processing, big data analytics, and supply chain planning. The report evaluates these vendors' innovations in in-memory technologies and how they can help organizations leverage digital business opportunities through improved agility and fast data processing.
Learn about recent advances in MongoDB in the area of In-Memory Computing (Apache Spark Integration, In-memory Storage Engine), and how these advances can enable you to build a new breed of applications, and enhance your Enterprise Data Architecture.
In this presentation we will be discussing the business benefits for data centre power and environmental monitoring and practical steps you can take to reduce risk and increase efficiency. Richard May bio.: Richard May is the Data Centre Power SME and Country Manager for Raritan UKI and Nordics. With over 17 years’ data centre experience, specialising in rack monitoring, metering and control, Richard works to support Raritan customers and partners; helping to maximise the efficiency of their existing data centres, and developing strategies for their new facilities.
Reducing the Total Cost of Ownership of Big Data- Impetus White PaperImpetus Technologies
For Impetus’ White Papers archive, visit- http://www.impetus.com/whitepaper
The paper discusses the challenges that relate to the cost of Big Data solutions and looks at the technology options available to overcome these problems.
Business Sustainability is becoming increasingly important with the need to wisely consume the scarce resources such as water, energy etc.
IT industry is not an exception and IT professionals are obliged to think about ways and means to maintain a sustainable IT business while helping other businesses be more sustainable by developing innovative IT solutionsfor these businesses.
This lesson will discuss sustainability issues resulting from usage of IT solutions and how such issues can be addressed. We will also investigate some of ICT innovative ways of helping business sustainability
Green IT is another term used to refer to IT sustainability
DBMS is a program that allows users to define, manipulate, and process data in a database to produce meaningful information. There are many types of DBMS ranging from small personal computer systems to large mainframe systems. DBMS provides advantages like preventing data redundancy, easy access to data, rule enforcement, security, sharing of large data volumes, time savings, and less storage space compared to manual file management. DBMS has wide applications in fields like banking, airlines, universities, retail, telecom, finance, manufacturing, and human resources.
The document discusses the fall of IBM and its challenges in the late 20th century. During this time, IBM faced major threats from competitors producing cheaper clones of IBM's mainframe systems. Customers began purchasing from these competitors. IBM also struggled to keep up with new technologies and the needs of customers in a changing market. The document outlines strategies IBM could take to regain its dominance, such as focusing more on research to create innovative new products that satisfy customer needs and embracing new technologies through acquisitions or internal development.
Traditional forms of backup and recovery don't work anymore - there is too much data and it is growing every day; the IT environment has become extremely complex and distributed; and service level requirements have increased while budgets have not. You need a smarter approach to protecting your data.
7 Challenges MSPs Face When Looking to Build Long-Term BDR SuccessContinuum
The following SlideShare outlines seven of the challenges MSPs currently face when building a long-term strategy for BDR growth and success, focusing on important issues like total cost of ownership, the IT skills gap, and more. But what’s more, you’ll also learn how to overcome these challenges to achieve an outlook for success.
Samsung Analyst Day 2013: Memory Dong-Soo Jun Memory BusinessVasilis Ananiadis
1) Samsung aims to stay "one step ahead" as an ecosystem leader in the mobile memory market by securing technology leadership and establishing de facto standards through continuous innovation.
2) The company seeks to exploit breakthrough memory technologies like V-NAND to boost demand and drive the next phase of growth.
3) Samsung is also working to extend its core competencies in areas like organization, open innovation, system knowledge, supply chain management, and quality to better deliver customized solutions and strengthen partnerships.
This document discusses opportunities for using big data in private wealth management. It begins by defining big data and describing how data volumes have increased exponentially. It then outlines several potential use cases for big data in areas like real-time performance metrics, portfolio optimization, and leveraging customer data. For each use case, it describes current limitations and how a big data approach could enable new capabilities. Finally, it proposes a phased approach for wealth managers to identify use cases, prioritize them, implement proofs of concept, and incrementally automate analysis and reporting. The overall message is that big data can enhance analytics and open up new opportunities previously only available to investment banks.
This document provides an overview of in-memory data grids (IMDGs), including their history, how they work, and use cases. IMDGs evolved from local caches to distributed caches to provide a partitioned, highly available system of record with querying and transaction capabilities. They use consistent hashing to distribute data across nodes and provide availability through techniques like single master replication or quorum-based consensus. IMDGs are well-suited for fast, transactional access and real-time stream processing due to memory's speed advantage over disk. The document discusses data models, placement, consistency models, and other challenges IMDGs address.
USING FACTORY DESIGN PATTERNS IN MAP REDUCE DESIGN FOR BIG DATA ANALYTICSHCL Technologies
Though insights from Big Data gives a breakthrough to make better business decision, it poses its own set of challenges. This paper addresses the gap of Variety problem and suggest a way to seamlessly handle data processing even if there is change in data type/processing algorithm. It explores the various map reduce design patterns and comes out with a unified working solution (library). The library has the potential to ‘adapt’ itself to any data processing need which can be achieved by Map Reduce saving lot of man hours and enforce good practices in code.
IBM Storage at the Incisive Media, IT Leaders Forum with Computing.co.ukMatt Fordham
This document summarizes IBM's storage solutions for the cognitive era. It notes that digital businesses are disrupting industries and that today's leaders recognize gaps in their digital capabilities. It then provides statistics on the massive amount of data being created every day and discusses the need for hybrid cloud and cognitive solutions. The rest of the document describes IBM's storage portfolio and how it provides capabilities like unstructured data management, application acceleration, and business critical reliability to enable a cognitive enterprise. It positions IBM as the leader in software defined storage and analytics and discusses how IBM's solutions can help customers modernize their infrastructure for the cognitive era.
This document summarizes a cloud computing crash course event. It includes an agenda, introductions of panelists who are experts on cloud computing, and a case study example. The panelists discuss topics like what cloud computing is, industries that embrace it, how to position services like disaster recovery, and overcoming sales barriers. They also provide examples of cloud computing agent programs and commissions. The case study describes how a car dealership transitioned their infrastructure to the cloud, reducing costs by over $100,000 while increasing the solution provider's recurring revenue to $5,800 per month.
Learn how IBM Storage and Software Defined Infrastructure help leading financial services institutions meet the challenges of:
- Engagement
- Agility
- Risk and Compliance
...and how our offerings enable the companies to maintain leadership today and in the future.
This document discusses customer data platforms (CDPs), beginning with defining a CDP and describing its core components and functions. It then addresses various myths and realities about CDPs, noting that while they provide benefits like unified customer profiles and quick deployment, their value depends on use cases, data availability, and organizational support. Finally, it provides guidance on when and how to use a CDP effectively within a company's marketing technology stack.
Maintec Technologies operates a software development center in Bangalore, India, to provide clients comprehensive Data Center Management, Application Development, Support & Maintenance Services.
This document discusses in-memory analytics and compares it to traditional disk-based databases. In-memory analytics stores all data in RAM rather than on disk storage, allowing for much faster data access and analytics. Key advantages of in-memory systems include speeds 50-100 times faster than disk-based databases and the ability to perform real-time analytics. The document outlines optimization aspects for in-memory data management like data layout, parallelism, and fault tolerance. It concludes with some common questions around in-memory analytics regarding adoption, performance, skills needs, and data size.
Similar to A quick intro to In memory computing (20)
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
2. What is In Memory Computing?
Storage of information in the main random access memory (RAM)
Rather than in complicated RDBMS operating on comparatively slow disk drives
What are the Uses of In Memory Computing?
Helps business customers, like, banks and utilities, to
Quickly analyse patterns
Analyse massive data volumes on the fly
Perform their operations quickly
Why In Memory Computing increasingly popular now a days?
The drop in memory prices in the present market
Need for “peed is the dri ing fa tor
Why is it time for in-memory computing?
DRAM costs are dropping about 30% every 12 - 18 months
Things are getting bigger, and costs are getting lower
10. Lack of standards:
No specific standards for developing IMC solutions
Companies are providing their offerings in ad hoc manner
Compatibility issues among solutions from other vendors
Migration:
Costs associated with IMC systems are comparatively high
It is a time consuming process.
Persistence:
We are talking a out DRAM: the D stands for destru ti e
It doesn’t hold data, if e lose po er