Cover Image

Extension of the program synthesis system to analyze large data sets

Analysis of large data sets is a challenging problem in the modern world. This paper presents an extension of the online dialog designer of syntactically correct programs ODSP for programs designing and synthesis for analyzing large data sets based on Apache Hadoop software. The advantage of the pro...

Full description

Saved in:

Bibliographic Details
Date:	2018
Main Author:	Ovdii, O.M.
Format:	Article
Language:	Ukrainian
Published:	PROBLEMS IN PROGRAMMING 2018
Subjects:	design and synthesis of programs distributed computing Big Data Map Reduce Hadoop UDC 004.4'2
Online Access:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/267
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Problems in programming
Download file:

Institution

Problems in programming

Similar Items

On the issue of automating the workflow design based on algebra-algorithmic and ontological tools
by: Ovdii, O.M.
Published: (2019)

Extension of the program synthesis system to analyze large data sets
by: O. M. Ovdii
Published: (2018)

Big data platforms. Main objectives, features and advantages
by: Zakharova, O.V.
Published: (2019)

Software system for analyzing cloudiness based on satellite observations
by: Doroshenko, А.Yu., et al.
Published: (2019)

Automated generation of programs for a class of parametric neuroevolution algorithms
by: Doroshenko, A.Yu., et al.
Published: (2023)

Software engineering and big data software
by: Sydorov, N.O., et al.
Published: (2023)

Using metadata to resolve big data problems
by: Zakharova, O.V.
Published: (2019)

Algorithm for automatic loop parallelization for graphics processing units
by: Doroshenko, А.Yu., et al.
Published: (2018)

What is Big Data
by: Reznichenko, V.A.
Published: (2019)

Technological solutions for intelligent analysis of Big Data. Programming languages
by: Grishanova, I.Y., et al.
Published: (2019)

A TURBO-GENERATOR DESIGN SYNTHESIS BASED ON THE NUMERICAL-FIELD CALCULATIONS AT VARYING THE NUMBER OF STATOR SLOTS
by: Milykh, V. I.
Published: (2016)

Extended mixed integer quadratic programming for simultaneous distributed generation location and network reconfiguration
by: Tami, Y., et al.
Published: (2023)

Automated design of programs for .NET platform using Task Parallel Library
by: Doroshenko, А.Yu., et al.
Published: (2020)

DS-theory. Scientific aspects and prospects for development
by: Kolesnyk, V.G.
Published: (2018)

Automated design of OpenCL programs based on algebra-algorithmic approach
by: Doroshenko, А.Yu., et al.
Published: (2019)

Semantics and pragmatics of programming language ASAMPL
by: Sulema, Y.S., et al.
Published: (2020)

The concept and evaluating of big data quality in the semantic environment
by: Novitsky, A.V.
Published: (2023)

Automated program design for solution of weather forecasting problem
by: Doroshenko, A.Yu., et al.
Published: (2018)

DEVELOPMENT OF DATA PROCESSING TECHNIQUES FOR DAILY SURVEY AT 110 MHZ BY BSA LPI USING HIGH-PERFORMANCE COMPUTING METHODS
by: Samodurov, V. A., et al.
Published: (2018)

Component of programming. Theory and implementation
by: Lavrischeva, K.M.
Published: (2015)

Automated design and parallelization of programs for heterogeneous platforms using algebra-algorithmic tools
by: Doroshenko, А.Yu., et al.
Published: (2020)

Tornado statistics in Ukraine based on new data
by: Vashchenko, V. M., et al.
Published: (2018)

Digital Program Control and Complex Component Processing in Performance-Driven Production Engineering
by: Petrova, Desislava, et al.
Published: (2025)

Design of a terrain surface visualization program using algebra-algorithmic tools
by: Doroshenko, А.Yu., et al.
Published: (2019)

Formal and adaptive methods and software tools of parallel programming
by: Doroshenko, А.Yu., et al.
Published: (2018)

Automated parallelization of a program for modeling intraparticle diffusion and adsorption in heterogeneous nanoporous media
by: Doroshenko, A.Yu., et al.
Published: (2023)

Synergy of quantum computing and federated learning in information technology detection of hidden target groups
by: Fadeichev, Serhii, et al.
Published: (2025)

DS-theory. Research of R-data division factors in order to generate applied algorithms. Part 2
by: Kolesnyk, V.G.
Published: (2017)

APPLICATION OF DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION OF BIG DATA OF ASTRONOMIC OBSERVATIONS
by: Gorbunov, A. A., et al.
Published: (2017)

RECOOP Visegrad Scholarship Program
Published: (2011)

RECOOP Visegrad Scholarship Program
Published: (2012)

Аналіз впливу big data and analytics на реальний і державний сектори економіки та проблеми їх оцінювання за допомогою статистичних методів
by: Chekina, Viktoriia D., et al.
Published: (2019)

Method of managing the execution of tasks of a multithreaded program according to a given dependency graph
by: Nesterenko, K.P., et al.
Published: (2024)

Energy-efficient induction motors designing with application of a modified criterion of reduced costs
by: Petrushin, V. S.
Published: (2014)

Big data metadata classification
by: Zakharova, O.V.
Published: (2019)

Models of concurrent program running in resource constrained environment
by: Rahozin, D.V.
Published: (2020)

Study of principles, models and methods of FAIR paradigm of scientific data management for analysis for BIG data metadata
by: Rogushina, J.V., et al.
Published: (2022)

Basics of programming in the context of software engineering
by: Sydorov, М.О.
Published: (2019)

Use of ontological knowledge in machine learning methods for intelligent analysis of Big Data
by: Rogushina, J.V.
Published: (2019)

Comparison of the effectiveness of the Map-Reduce approach and the actor model in solving problems with high connectivity of inp data on the example of the optimization problem for a swarm of particles
by: Larin, V.O., et al.
Published: (2021)