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"IBM's Distributed Processing Capabilities For Large-Scale Data Base Systems, Part 1". Computerworld. Ronald G. Ross. "IBM's Distributed Processing Capabilities
Distributed_data_processing
System with multiple networked computers
Distributed computing is a field of computer science that studies distributed systems, defined as computer systems whose inter-communicating components
Distributed_computing
Discrete, discontinuous representation of information
parallel distributed data processing across many commodity computers on a high bandwidth network. In such systems, the data is distributed across multiple computers
Digital_data
Distributed data processing framework
for reliable, scalable, distributed computing. It provides a software framework for distributed storage and processing of big data using the MapReduce programming
Apache_Hadoop
American software company
Automatic Data Processing, Inc. (ADP) is an American multinational provider of cloud-based human resources management, payroll processing, and professional
ADP_(company)
Computer programming paradigm
computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm
Stream_processing
Computer network with multiple nodes to store information
cloud Data store Keyspace, the DDS schema Distributed hash table Distributed cache Cyber Resilience Yaniv Pessach, Distributed Storage (Distributed Storage:
Distributed_data_store
Open-source data analytics cluster computing framework
expected even for bug fixes. Big data Comparison of machine learning software Distributed computing Distributed data processing List of Apache Software Foundation
Apache_Spark
Organized collection of data in computing
position in relation to other data) and providing that data either directly to the user, or making it available for further processing by the database itself
Database
Software architecture
implement a distributed file system. The designers of distributed applications must determine the best placement of the application's programs and data in terms
Distributed Data Management Architecture
Distributed_Data_Management_Architecture
Database whose data is stored in different physical locations
database Data grid Distributed cache Distributed data store Distributed hash table Routing protocol Distributed SQL "Definition: distributed database"
Distributed_database
Unified programming model for data processing pipelines
programming model to define and execute data processing pipelines, including ETL, batch and stream (continuous) processing. Beam Pipelines are defined using
Apache_Beam
Subfield of artificial intelligence
require large data, by distributing the problem to autonomous processing nodes (agents). To reach the objective, DAI requires: A distributed system with
Distributed artificial intelligence
Distributed_artificial_intelligence
Class of parallel computing applications
additional distributed data processing capabilities which are designed to run using the Hadoop MapReduce architecture. These include HBase, a distributed column-oriented
Data-intensive_computing
Field of study to extract knowledge from data
Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processing, scientific visualization
Data_science
Programming paradigm in which many processes are executed simultaneously
exists. A distributed computer (also known as a distributed memory multiprocessor) is a distributed memory computer system in which the processing elements
Parallel_computing
Open-source distributed stream processing
information sources and manipulations to allow batch, distributed processing of streaming data. The initial release was on 17 September 2011. A Storm
Apache_Storm
Facilities containing Google servers
incrementally on a continuous basis. Later Google revealed a distributed data processing system called "Percolator" which is said to be the basis of Caffeine
Google_data_centers
Parallel programming model
model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. A MapReduce program
MapReduce
Data synchronised across multiple sites
digital data is geographically spread (distributed) across many sites, countries, or institutions. In contrast to a centralized database, a distributed ledger
Distributed_ledger
Computerized control systems with distributed decision-making
A distributed control system (DCS) is a computerized control system for a process or plant usually with many control loops, in which autonomous controllers
Distributed_control_system
Category of programming languages
data. A data-centric programming language includes built-in processing primitives for accessing data stored in sets, tables, lists, and other data structures
Data-centric programming language
Data-centric_programming_language
Database transaction between two or more networks
that distributed transactions are not limited to databases. The Open Group, a vendor consortium, proposed the X/Open Distributed Transaction Processing Model
Distributed_transaction
Communications System was one of the first distributed computing platforms. The 3790 was developed by IBM's Data Processing Division (DPD) and announced in 1974
IBM_3790
Relational database programming language
defined by the Distributed Data Management Architecture. Distributed SQL processing ala DRDA is distinctive from contemporary distributed SQL databases
SQL
Centralized storage of knowledge
historic data through ETL processes that periodically migrate data from the operational systems to the warehouse. Online analytical processing (OLAP) is
Data_warehouse
Type of database system
batch processing and grid computing. In addition, OLTP is often contrasted with online event processing (OLEP), which is based on distributed event logs
Online_transaction_processing
Concept in probability and statistics
statistics and finds application in many fields, such as data mining and signal processing. Statistics commonly deals with random samples. A random sample
Independent and identically distributed random variables
Independent_and_identically_distributed_random_variables
The International Parallel and Distributed Processing Symposium (or IPDPS) is an annual conference for engineers and scientists to present recent findings
International Parallel and Distributed Processing Symposium
International_Parallel_and_Distributed_Processing_Symposium
Manipulation of data before it is analyzed
amount of processing time. Examples of methods used in data preprocessing include cleaning, instance selection, normalization, one-hot encoding, data transformation
Data_preprocessing
Mathematical signal manipulation by computers
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide
Digital_signal_processing
Facility used to house computer servers
and processing of information, and they support the global financial system, cloud services, machine learning, and artificial intelligence (AI). Data centers
Data_center
Framework and distributed processing engine
stream-processing and batch-processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming data-flow
Apache_Flink
Abstract data type in computer science
and distributed memory architectures are considered. In the case of a shared memory model, the graph representations used for parallel processing are
Graph_(abstract_data_type)
Memory used temporarily in data transfers
used. In a distributed computing environment, data buffers are often implemented in the form of burst buffers, which provides distributed buffering services
Data_buffer
Sharing of data between running processes in a computer system
IPC mechanism. Merging data from two processes can often incur significantly higher costs compared to processing the same data on a single thread, potentially
Inter-process_communication
Israeli technology company
is a data platform that ingests data from distributed sources, applies AI-based metadata enrichment, and supports automated agent-based processing pipelines
VAST_Data
Extremely large or complex datasets
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries
Big_data
Reference model in computer science
Reference Model of Open Distributed Processing (RM-ODP) is a reference model in computer science, which provides a co-ordinating framework for the standardization
RM-ODP
Processing mode
the processing step (data load) can be quite lengthy, especially on large data volumes. This is usually remedied by doing only incremental processing, i
Online_analytical_processing
Computing technique employed to achieve parallelism
microarchitecture. These processors have multiple processing cores (up to 61 as of 2015) that can execute different instructions on different data. Most parallel
Multiple instruction, multiple data
Multiple_instruction,_multiple_data
Scientific visualization software
using ParaView's batch processing capabilities. ParaView was developed to analyze extremely large datasets using distributed memory computing resources
ParaView
Ability to seamlessly add computer resources to a given node
data, map reduce, or distributed storage system and is often associated with the infrastructure required to run large distributed sites such as Google
Hyperscale_computing
Data-processing architecture
ordering of the data. Lambda architecture describes a system consisting of three layers: batch processing, speed (or real-time) processing, and a serving
Lambda_architecture
Software architecture model
opportunities. Online event processing (OLEP) uses asynchronous distributed event logs to process complex events and manage persistent data. OLEP allows reliably
Event-driven_architecture
Open source platform
distributed machine learning and predictive analytics platform developed by the company H2O.ai (previously 0xdata). The software uses a distributed architecture
H2O_(software)
Set of events in a distributed application or protocol
Distributed data flow (also abbreviated as distributed flow) refers to a set of events in a distributed application or protocol. Distributed data flows
Distributed_data_flow
Mechanism to allow software to execute a remote procedure
continues its process. While the server is processing the call, the client is blocked (it waits until the server has finished processing before resuming
Remote_procedure_call
Type of data structure
In distributed computing, a conflict-free replicated data type (CRDT) is a data structure that is replicated across multiple computers in a network, with
Conflict-free replicated data type
Conflict-free_replicated_data_type
Software bus for high-volume data feeds
Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written
Apache_Kafka
Distributed query engine
re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop
Presto_(SQL_query_engine)
American computer scientist (born 1966)
open-source data interchange format. MapReduce, a system for large-scale data processing applications. Google File System, is a proprietary distributed file
Sanjay_Ghemawat
Aspect of Unisys OS 2200 operating system
so commonly used, distributed processing protocols, APIs, and development technology. The X/Open Distributed Transaction Processing model and standards
Unisys OS 2200 distributed processing
Unisys_OS_2200_distributed_processing
Sharing information to ensure consistency in computing
distributed concurrency control must be used, such as a distributed lock manager. Load balancing differs from task replication, since it distributes a
Replication_(computing)
Type of geographic information system
people. In terms of data, the concept has been extended to include volunteered geographical information. Distributed processing allows improvements to
Distributed_GIS
In-memory data grid
a Hazelcast grid, data is evenly distributed among the nodes of a computer cluster, allowing for horizontal scaling of processing and available storage
Hazelcast
Type of parallel processing
multiple data (SIMD) is a type of parallel computing (processing) in Flynn's taxonomy. SIMD describes computers with multiple processing elements that
Single instruction, multiple data
Single_instruction,_multiple_data
- IEEE International Parallel and Distributed Processing Symposium PODC - ACM Symposium on Principles of Distributed Computing SIROCCO - International
List of computer science conferences
List_of_computer_science_conferences
Cognitive science approach
wave blossomed in the late 1980s, following a 1987 book Parallel Distributed Processing by James L. McClelland, David E. Rumelhart, et al., which introduced
Connectionism
Origins and events of data
Data lineage refers to the process of tracking how data is generated, transformed, transmitted and used across systems over time. It documents data's
Data_lineage
Italian astrophysicist
the LISA Consortium, the LISA Science Team (LST), and the LISA Distributed Data Processing Center (DDPC). Sesana received his Laurea from the Università
Alberto_Sesana
Free and open-source multi-model NoSQL database developed by Apple
software portal Ordered Key-Value Store Database transaction Distributed database Distributed transaction List of formerly proprietary software "Releases
FoundationDB
NASA program capability
capabilities transport the data to the science operations facilities. EOSDIS comprises processing facilities and Distributed Active Archive Centers across
EOSDIS
Standard for data transmission in a local area network
Fiber Distributed Data Interface (FDDI) is a standard for data transmission in a local area network. It uses optical fiber as its standard underlying physical
Fiber Distributed Data Interface
Fiber_Distributed_Data_Interface
Repository of data stored in a raw format
or a distributed file system such as Apache Hadoop distributed file system (HDFS). There is a gradual academic interest in the concept of data lakes
Data_lake
Parallelization across multiple processors in parallel computing environments
Data parallelism is parallelization across multiple processors in parallel computing environments. It focuses on distributing the data across different
Data_parallelism
Group of spatially dispersed and dedicated sensors
avoid forwarding data that is of no use. This technique has been used, for instance, for distributed anomaly detection or distributed optimization. As
Wireless_sensor_network
Set of computers configured in a distributed computing system
Advantages include enabling data recovery in the event of a disaster and providing parallel data processing and high processing capacity. In terms of scalability
Computer_cluster
Database management system
transaction processing, and query processing. SingleStore stores relational data, JSON data, geospatial data, key-value vector data, and time series data. It
SingleStore
Open-Source Workflow Management Platform
local and cloud resources. Many scientific data analyses require a significant amount of sequential processing steps. Custom scripts may suffice when developing
Nextflow
Method of analysing information about events
Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), and deriving a conclusion
Complex_event_processing
Classification of computer architectures
different data. MIMD architectures include multi-core superscalar processors, and distributed systems, using either one shared memory space or a distributed memory
Flynn's_taxonomy
Swedish computer scientist
scientist and entrepreneur of Persian origin, specializing in distributed systems, big data and data management. He is a co-founder and CEO of Databricks and
Ali_Ghodsi
Relational database management system
a subset of the data. They include components such as distributed concurrency control, flow control, and distributed query processing. The second category
NewSQL
Use of a GPU for computations typically assigned to CPUs
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles
General-purpose computing on graphics processing units
General-purpose_computing_on_graphics_processing_units
typically has the following components: Processing unit The unit of scalability and fail-over. Normally, a processing unit is built out of a POJO (plain old
Space-based_architecture
American computer scientist and software engineer
for processing and generating large datasets that became foundational for applications. MapReduce abstracts away the complexities of distributed computing
Jeff_Dean
Branch of machine learning
Early forms of neural networks were inspired by information processing and distributed communication nodes in biological systems, particularly the human
Deep_learning
HTTP extension for collaborative editing
functionality into WebDAV, optimize processing, and eliminate the need for special-case processing. [MS-WDV]: Web Distributed Authoring and Versioning (WebDAV)
WebDAV
Topics referred to by the same term
disc image file format Distributed Data Processing, a 1970s term referring to one of IBM's combined offerings Distributed Data Protocol, a client-server
DDP
Distributed transaction processing standard
1991 by X/Open (which later merged with The Open Group) for distributed transaction processing (DTP). The goal of XA is to guarantee atomicity in "global
X/Open_XA
Transaction that reverses the effects of a prior, committed transaction
In transaction processing and distributed computing, a compensating transaction is a transaction that reverses the effects of a previously committed transaction
Compensating_transaction
Database management system
software Database transaction Data analysis Distributed database Distributed SQL Distributed transaction Document-oriented database Graph database Relational
Multi-model_database
management, (2) global query of independent databases, and (3) distributed data processing. The word metadatabase is an addition to the dictionary. Originally
Metadatabase
Message-passing system for parallel computers
standard for communication among processes that model a parallel program running on a distributed memory system. Actual distributed memory supercomputers such
Message_Passing_Interface
Decentralized machine learning
federated learning and distributed learning lies in the assumptions made on the properties of the local datasets, as distributed learning originally aims
Federated_learning
Type of decentralized filesystem
is designed. The difference between a distributed file system and a distributed data store is that a distributed file system allows files to be accessed
Clustered_file_system
Scientific journal
sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques;
Journal_of_Big_Data
Storage of digital data readable by computers
central processing unit (CPU) consists of two main parts: The control unit and the arithmetic logic unit (ALU). The former controls the flow of data between
Computer_data_storage
NewSQL relational distributed database
September 2020. TiDB can support both online transaction processing (OLTP) and online analytical processing (OLAP) workloads. TiDB has two storage engines: TiKV
TiDB
Computer science transaction algorithm
commitment protocol (ACP). It is a distributed algorithm that coordinates all the processes that participate in a distributed atomic transaction on whether
Two-phase_commit_protocol
Computer programming paradigm
Data flow has been proposed[by whom?] as an abstraction for specifying the global behavior of distributed system components: in the live distributed objects
Dataflow_programming
Relational database which stores data across multiple servers
A distributed SQL database is a single relational database which replicates data across multiple servers. Distributed SQL databases are strongly consistent
Distributed_SQL
Multiprocessing memory architecture
programming distributed memory systems is how to distribute the data over the memories. Depending on the problem solved, the data can be distributed statically
Distributed_memory
Network that allows computers to share resources and communicate with each other
switching for data communication between computers over a network. Baran's work addressed adaptive routing of message blocks across a distributed network,
Computer_network
Industrial data processing is a branch of applied computer science that covers the area of design and programming of computerized systems which are not
Industrial_data_processing
Computing technique used to achieve parallelism
architectures. On distributed memory computer architectures, SPMD implementations usually employ message passing programming. A distributed memory computer
Single_program,_multiple_data
Name used for several lines of minicomputers
Programmed Data Processor (PDP), referred to by some customers, media and authors as "Programmable Data Processor," is a term used by the Digital Equipment
Programmed_Data_Processor
Peer-to-peer Internet platform for censorship-resistant communication
censorship-resistant, anonymous communication. It uses a decentralized distributed data store to keep and deliver information, and has a suite of free software
Hyphanet
Open-source database management system
column-oriented DBMS (columnar database management system) for online analytical processing (OLAP) that allows users to generate analytical reports using SQL queries
ClickHouse
DISTRIBUTED DATA-PROCESSING
DISTRIBUTED DATA-PROCESSING
Male
Irish
 From Irish Gaelic Mac Dara, DARA means "son of oak." Compare with other forms of Dara.
Female
Polish
Short form of Polish Edyta, DYTA means "rich battle."
Male
Turkish
Turkish name ATA means "ancestor."
Male
Hebrew
Variant spelling of Hebrew Dathan, DATAN means "belonging to a fountain."
Male
English
English surname transferred to unisex forename use, possibly DANA means "from Denmark."
Girl/Female
Arabic
Distributor
Female
English
 English surname transferred to unisex forename use, possibly DANA means "from Denmark." Compare with other forms of Dana.
Female
English
 Middle English name DARA means "brave, daring." Compare with another form of Dara.
Female
Hungarian
 Short form of Hungarian Katalin, KATA means "pure." Compare with other forms of Kata.
Female
Finnish
 Short form of Finnish Katariina, KATA means "pure." Compare with other forms of Kata.
Female
Hebrew
(דִּיתָה) Pet form of Hebrew Yehuwdiyth, DITA means "Jewess" or "praised." Compare with another form of Dita.
Male
Iranian/Persian
 Short form of Persian Dârayavahush, DARA means "possesses a lot, wealthy." Compare with other forms of Dara.
Female
Slavic
 Short form of Slavic Bogdana, DANA means "gift from God." Compare with other forms of Dana.
Boy/Male
Hindu, Indian
Distribute Love
Female
Hebrew
(×“Ö¼Ö¸× Ö¸×”) Feminine form of Hebrew Dan, DANA means "judge." Compare with other forms of Dana.
Female
Russian
 Short form of Russian Yekaterina, KATA means "pure." Compare with other forms of Kata.
Female
Finnish
Variant form of Finnish Aada, AATA means "noble."
Female
Hindi/Indian
(लता) Hindi name derived from a plant name, from the Sanskrit word lata, LATA means "creeper," in reference to a creeping plant.
Female
Polish
 Variant spelling of Polish Dyta, DITA means "rich battle." Compare with another form of Dita.
Male
Hebrew
(דֶּרַע) Hebrew name DARA means "the arm." In the bible, this is the name of a son of Zerah. Compare with other forms of Dara.
DISTRIBUTED DATA-PROCESSING
DISTRIBUTED DATA-PROCESSING
Girl/Female
Assamese, Bengali, Gujarati, Hindu, Indian, Kannada, Marathi, Sindhi, Telugu, Traditional
Wife of Lord Shiv; Goddess Parvati
Boy/Male
Muslim/Islamic
Name of a Prophet
Girl/Female
American, Australian, British, Chinese, Christian, Danish, English, French, German, Hebrew, Swedish
Praise; Jewish Woman; Form of Judith; Admired; A Women from Judea
Girl/Female
Hindu, Indian
A Part of Love
Boy/Male
Indian, Punjabi, Sikh
The Friend Guru
Boy/Male
Indian, Tamil
Lord Murugan
Boy/Male
American, Australian, British, Christian, Danish, English, French, German, Indian, Parsi, Swedish
Treasurer; Keeper of the Treasurer; Treasure Bearer
Boy/Male
Bengali, Indian
Creation of Lord
Boy/Male
Hindu, Indian
K for Krishna, S for Shiv and G for Ganesh
Girl/Female
Assamese, Gujarati, Hindu, Indian, Kannada, Telugu, Traditional
Flowering
DISTRIBUTED DATA-PROCESSING
DISTRIBUTED DATA-PROCESSING
DISTRIBUTED DATA-PROCESSING
DISTRIBUTED DATA-PROCESSING
DISTRIBUTED DATA-PROCESSING
n.
A mutual arrangement between competing lines, by which the receipts of all are aggregated, and then distributed pro rata according to agreement.
v. t.
To divide or distribute proportionally; to assess pro rata.
n.
The fruit of the date palm; also, the date palm itself.
a.
Capable of being distributed.
a.
Tending to distribute or be distributed; that distributes; distributive.
n.
That which is distributed.
v. t.
To note the time of writing or executing; to express in an instrument the time of its execution; as, to date a letter, a bond, a deed, or a charter.
p. pr. & vb. n.
of Distribute
v. t.
To dispense; to administer; as, to distribute justice.
a.
Parted; disunited; distributed.
imp. & p. p.
of Distribute
n.
That addition to a writing, inscription, coin, etc., which specifies the time (as day, month, and year) when the writing or inscription was given, or executed, or made; as, the date of a letter, of a will, of a deed, of a coin. etc.
n. pl.
See Datum.
n.
A distributer.
n.
The point of time at which a transaction or event takes place, or is appointed to take place; a given point of time; epoch; as, the date of a battle.
v. t.
To note or fix the time of, as of an event; to give the date of; as, to date the building of the pyramids.
pl.
of Datum
v. t.
To distribute wrongly.
v. t.
To distribute again.
n.
One who, or that which, distributes or deals out anything; a dispenser.