About Us

MINEVIK Machinery is a leading and pioneering enterprise with the most advanced international level in R&D, manufacturing and selling of large-scale crushing & screening plants and beneficiation plants.

large-scale crushing & screening plants and beneficiation plants.

All of our equipment have got ISO international quality system certification, European Union CE certification and Russian GOST certification.

  • In central China-Zhengzhou, covering 140 thousand square meters
  • Win-win cooperation and create more value to customers
  • Exported large quantities and high-end mobile crushing plant and milling equipments to Russia, Kazakhstan, Indonesia, Ecuador, South Africa, Nigeria, Turkey more than 100 countries .

Ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum

Our Products

AS a leading global manufacturer of crushing and milling equipment, we offer including quarry, aggregate, grinding production and complete stone crushing plant. We also supply individual crushers and mills as well as spare parts of them.

Services

Our goal is to guarantee the excellent operation equipment with high safety for our customers and minimize the downtime of the machine by predictive maintenance. Kefid service and original accessories can be 100% trusted at the time of maintenance.

SERVICE AND SUPPORT

Minevik service and original accessories can be 100% trusted at the time of maintenance.

ACCESSORIES CENTER

striving to enable customers to get the parts in the nearest place.

SALES MARKET

Our sales market is spread all over more than 100 countries and regions

aggregate query processing in data warehousing

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Aggregate-Query Processing in Data Warehousing Environments

Aggregate-Query Processing in Data Warehousing Environments* Ashish Gupta Venky Harinarayan Dallan Quass IBM Almaden Research Center Abstract In this paper we introduce generalized pro- jections (GPs), an extension of duplicate- eliminating projections, that capture aggre- gations, groupbys, duplicate-eliminating pro-

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Optimizing Aggregate Query Processing in Cloud Data

Optimizing Aggregate Query Processing in Cloud Data Warehouses 3 2 Related Work Aggregate query processing has been studied in many research works [5]. But, as per our knowledge, not many of them consider communication cost in optimizing aggregate query processing. We analyzed some of the works which optimize the aggregate query operations.

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CiteSeerX — Aggregate-Query Processing in Data Warehousing

We develop powerful query rewrite rules for aggregate queries that unify and extend rewrite rules previously known in the literature. We then illustrate the power of our approach by solving a very practical and important problem in data warehousing: how to answer an aggregate query on base tables using materialized aggregate views (summary tables).

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Optimizing Aggregate Query Processing in Cloud Data Warehouses

Sep 02, 2014· In this paper, we study and optimize the aggregate query processing in a highly distributed Cloud Data Warehouse, where each database stores a subset of relational data in a star-schema. Existing aggregate query processing algorithms focus on optimizing various query operations but give less importance to communication cost overhead (Two-phase

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SQL for Aggregation in Data Warehouses

Alternatively, a data warehouse could have just partial materialization, saving storage space, but allowing only a subset of possible queries to be answered at highest speed. If the queries cover the full range of aggregate groupings possible in its data set, it may be best to

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CiteSeerX — Aggregate-query processing in data warehousing

aggregate-query processing aggregate query powerful query rewrite rule aggregate view query us-ing aggregation base table simple algorithm duplicate-eliminating pro-jections common unified framework duplicate-eliminating projection capture aggre-gations data warehousing im-portant problem summary table duplicate-preserving projection distinct

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[randpic]

SQL for Aggregation in Data Warehouses

Alternatively, a data warehouse could have just partial materialization, saving storage space, but allowing only a subset of possible queries to be answered at highest speed. If the queries cover the full range of aggregate groupings possible in its data set, it may be best to

More
[randpic]

Performing Range Aggregate Queries in Stream Data Warehouse

In this paper we present a stream data warehouse cooperating with a network of sensors monitoring utilities consumption. We focus on a problem of performing range aggregate queries over the sensors and processing data streams generated by the chosen objects.We present a solution which, basing on the results of our previous work, integrate a

More
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Data Warehouse Design Techniques Aggregates

Jul 05, 2017· Aggregates are to be considered for use when the number of detailed records to be processed is large and/or the processing of the customer queries begins to impact the performance of the BI application. Customers of BI applications expect an application which is very responsive to their queries. Aggregate Example Data Warehouse Design

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Mastering Data Warehouse Aggregates: Solutions for Star

Christopher Adamson is a data warehousing consultant and founder of Oakton Software LLC. An expert in star schema design, he has managed and executed data warehouse implementations in a variety of industries. His customers have included Fortune 500 companies, large and small businesses, government agencies, and data warehousing tool vendors. Mr.

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Aggregate (data warehouse) Wikipedia

Aggregates are used in dimensional models of the data warehouse to produce positive effects on the time it takes to query large sets of data.At the simplest form an aggregate is a simple summary table that can be derived by performing a Group by SQL query

More
[randpic]

Data Warehouse Design Techniques Aggregates

Jul 05, 2017· Aggregates are to be considered for use when the number of detailed records to be processed is large and/or the processing of the customer queries begins to impact the performance of the BI application. Customers of BI applications expect an application which is very responsive to their queries. Aggregate Example Data Warehouse

More
[randpic]

Aggregate-query processing in data warehousing

Aggregate-Query Processing in Data Environments* Venky Harinarayan Warehousing Ashish Gupta Dallan Quass IBM Almaden Research Center Stanford University Abstract In this paper we introduce

More
[randpic]

Performing Range Aggregate Queries in Stream Data Warehouse

In this paper we present a stream data warehouse cooperating with a network of sensors monitoring utilities consumption. We focus on a problem of performing range aggregate queries over the sensors and processing data

More
[randpic]

Mastering Data Warehouse Aggregates: Solutions for Star

Jul 19, 2006· Christopher Adamson is a data warehousing consultant and founder of Oakton Software LLC. An expert in star schema design, he has managed and executed data warehouse implementations in a variety of industries. His customers have included Fortune 500 companies, large and small businesses, government agencies, and data warehousing

More
[randpic]

Mastering Data Warehouse Aggregates: Solutions for Star

Data warehouse expert Chris Adamson shows how a well-planned set of aggregates can have an extraordinary effect on the overall throughput of your data warehouse. Regardless of your role or

More
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Aggregate (data warehouse) WikiMili, The Free

Aggregate (data warehouse) Last updated December 21, 2019 The basic architecture of a data warehouse. Aggregates are used in dimensional models of the data warehouse to produce positive effects on the time it takes to query large sets of data.At the simplest form an aggregate is a simple summary table that can be derived by performing a Group by SQL query. A more common use of

More
[randpic]

Performing Range Aggregate Queries in Stream Data

In this paper we present a stream data warehouse cooperating with a network of sensors monitoring utilities consumption. We focus on a problem of performing range aggregate queries over the sensors and processing data streams generated by the chosen objects.We present a solution which, basing on the results of our previous work, integrate a

More
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Efficient Processin of Queries with Joints and

Efficient Processin of Queries with Joints and Aggregate Functions in ROLAP Data Warehousing Environment Efficient processing of expensive queries that include joins and/or aggregate functions is crucial in data warehousing environment since there reside enormous volume of data. In this paper, we propose a new method for processing of queries that have both of joins and aggregate functions.

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Data warehousing query tools -

Dec 18, 2001· Data warehousing query tools. Open Aggregate Navigation Aggregate navigation is the ability to automatically choose pre-stored summaries, or aggregates, in the course of processing a user's SQL requests. Aggregate navigation must be performed silently and anonymously, without the end user or the application developer being aware that the

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Mastering Data Warehouse Aggregates: Solutions for

Data warehouse expert Chris Adamson shows how a well-planned set of aggregates can have an extraordinary effect on the overall throughput of your data warehouse. Regardless of your role or current level of star schema expertise, the best practices in this book will help you achieve astounding performance increases, while avoiding common pitfalls.

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