CN110941749A - Visualization method for government affair big data full life cycle governance - Google Patents
Visualization method for government affair big data full life cycle governance Download PDFInfo
- Publication number
- CN110941749A CN110941749A CN201911084589.7A CN201911084589A CN110941749A CN 110941749 A CN110941749 A CN 110941749A CN 201911084589 A CN201911084589 A CN 201911084589A CN 110941749 A CN110941749 A CN 110941749A
- Authority
- CN
- China
- Prior art keywords
- data
- node
- slinks
- nodes
- edge
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007794 visualization technique Methods 0.000 title claims abstract description 8
- 230000000007 visual effect Effects 0.000 claims abstract description 9
- 125000002015 acyclic group Chemical group 0.000 claims abstract description 5
- 238000013523 data management Methods 0.000 claims abstract description 4
- 230000002776 aggregation Effects 0.000 claims description 15
- 238000004220 aggregation Methods 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 10
- 230000000694 effects Effects 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 239000003086 colorant Substances 0.000 claims description 7
- 238000007726 management method Methods 0.000 claims description 7
- 230000005856 abnormality Effects 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 230000004927 fusion Effects 0.000 claims description 5
- 238000011161 development Methods 0.000 claims description 4
- 238000009960 carding Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 claims description 3
- 230000000873 masking effect Effects 0.000 claims description 3
- 238000009877 rendering Methods 0.000 claims description 2
- 230000003247 decreasing effect Effects 0.000 claims 1
- 238000007405 data analysis Methods 0.000 description 3
- 238000013079 data visualisation Methods 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The invention relates to a visualization method for government affair big data full life cycle governance, which constructs an integral skeleton structure of a directed acyclic relation graph according to context incidence relation of data resources in a full life cycle state; and driving various data resource nodes to switch in scenes of different life cycle stages according to log information dynamically generated by each link of data management, and timely and dynamically responding and displaying state information and link directions of the data resources when the states of the data resources are switched in different life cycle stages. The visual expression model reflects the multi-source data incidence relation and the data circulation state by a visual display means, so that data analysts can quickly and accurately acquire required information.
Description
Technical Field
The invention belongs to the technical field of multi-source data processing, and particularly relates to a visualization method for government affair big data full life cycle management.
Background
In the fields of smart city construction and big data analysis, decision making depends on accurate and effective information, so that mass data resources are obtained from various service scenes through various technical means, and are processed, fused and analyzed in combination with corresponding service rules to form sustainable information resources, thereby supporting urgent requirements of application of various fields on information. In the present complete chain from the input of original data to the output of specific information resources, the occurrence of a series of problems of unclear context and unreliable data analysis results surrounding the data resources, such as unclear data generation source, unclear data association relationship, unclear data processing logic, complex data fusion analysis and the like, finally results in inaccurate and unreliable data analysis results, so that all links from the generation of the data to the use of the data are combed, the front-back relationship of all links is effectively connected, the whole nodes and the relationship of all nodes are visually presented by adopting an intuitive technical means, the clear, effective and reliable management of the whole life cycle of data flow is realized, and the accurate and reliable conversion from the data to the knowledge is supported.
Because original data resources have the characteristics of various sources, forms and contents, the current technical means is to register and register metadata Information of various data in a spreadsheet form and provide metadata Information retrieval and statistics of the data by adopting an MIS (Management Information System) System. However, since data resources are generated, processed, fused with multiple data, encapsulated by a service interface and used by service application software, and data changes from form to content in a series of link processes, it is difficult to support and present changes of data resources in a series of circulation links and a connection relationship between the front and the back only through a large number of spreadsheet ways, and particularly after various data resources with huge types are interwoven, the "blood relationship" and the "content link" of the data are more difficult to grasp and understand, so an information presentation means and an expression method are urgently needed to solve the above problems.
Disclosure of Invention
The technical problem is as follows: the invention provides a visualization method for government affair big data full life cycle management, aiming at the characteristics that multi-source heterogeneous data in the fields of smart cities and big data have dispersed sources, complex data service association, different data updating periods and various data use scenes. The method of the invention is to visually express the current status information, information association relation and resource circulation state of each data resource in the process of gathering, processing and sharing exchange of multi-source data, mainly solves the problem of the whole operation presentation of the content characteristics, the states and the relation of the full link information from the acquisition, processing, cataloguing, fusion, sharing to the application of the data resources, and can trace the 'cause consequence' condition of each link information. The visual expression model can dynamically and intuitively express means to reflect the multi-source data incidence relation and the data circulation state in real time, so that data analysts can quickly and accurately acquire required information.
The technical scheme is as follows: the invention discloses a visualization method for government affair big data full life cycle governance, which comprises the following steps:
initializing context incidence relations of all stages of a full life cycle of a defined data stream, and constructing a visual expression scene of data resources;
dividing data resources of various types into associable node sets according to the stages of the life cycle of the data resources according to the stages and scenes of the life cycle of the data resources;
different data resource types are distinguished and represented through differences of colors, shapes and sizes of the nodes;
according to the context association relationship of the data resources in the full life cycle state, generating a directed dynamic association edge line in a self-adaptive manner, and constructing an integral skeleton structure of a directed acyclic relation graph;
driving various data resource nodes to switch in scenes of different life cycle stages according to log information dynamically generated by each link of data management, and distinguishing and representing state information and link directions of data resources when the states of different life cycle stages are switched by differences of colors, thicknesses, flow directions and flow speeds through constructing animation effects of sidelines; if the node has a correlation aggregation interruption state, the sideline expresses the presentation of a warning effect in an animation flashing mode;
when the nodes in any state are interacted by adopting a mouse hovering or clicking triggering mode, the full-link incidence relation between the node and all the associated nodes is highlighted through animation, and the transparency is reduced and the masking effect is added on all other irrelevant nodes and edges to highlight the main information.
Preferably, the data stream lifecycle stage further comprises:
in the data production stage, a specific source or a data provider of data in the data production stage is determined;
in the data carding stage, multi-source data are carded and classified, and the data can be divided according to data types or data providers;
a data aggregation stage, defining a data aggregation platform, and uniformly managing the sorted data;
in the data cataloging stage, cataloging and fusing data in the data aggregation platform, and processing the data cataloging and fusing into shared data;
in the data fusion stage, a sharing platform is defined, and data needing sharing is managed in a unified manner to carry out classified management on the data in the data aggregation platform according to a sharing mode;
and the data application phase lists all units or application items using the data in the shared platform.
Preferably, the node is represented by snode, [ name, properties, positon ], where name represents a node name, properties represents a node attribute, and position represents a node position; the node attribute comprises a node height (height), a node color (color) and a node icon (nodeImg); defining all node sets as sNodes;
the node-associated edge line is represented by a line, where the line is [ source, target, properties ], where source is a source node name, target is a target node name, properties is an edge attribute, and the line-properties includes a color and a width attribute, where the color represents an edge color, the width represents an edge width, and a set of all edges is defined as the lines.
Preferably, the defined node set and edge set are Data-Driven Documents, which are collectively called D3, using web development technology (development based on java dynamic web sites) and D3 open source graphics rendering engine. D3 is used as a function library of JavaScript, and is mainly used for data visualization. Drawing a data flow graph and interactive operation settings by using SVG (Scalable Vector Graphics is used for defining Vector-based Graphics for a network), and specifically comprises the following steps:
step 1) acquiring a node set snodes and an edge set slinks;
step 2) traversing the edge set slinks, wherein each item is slink, searching all nodes of source nodes in the slinks, which do not exist in target nodes of the slinks, and returning to the set slinks _ L1 of the first column of nodes;
step 3) traversing slinks _ L1 and slinks to search source nodes associated with target nodes in a slinks _ L1 set to be a second column slinks _ L2, and obtaining a third column (slinks _ L3), a fourth column (slinks _ L4) and a fifth column (slinks _ L5) after recursive processing until obtaining the last column of nodes slinks _ LN;
step 4), dynamically calculating the positions of all columns of nodes according to the size of a drawing area by using an open source drawing engine d3.js for the obtained node sets slinks _ L1, slinks _ L2, … … and slinks _ LN, and drawing;
and 5) drawing a sideline set slinks, calculating the midpoint position of two nodes according to the starting node and the target node, drawing a Bezier curve according to the three points to connect the two nodes, and recursively executing the operation until the operation is finished.
Preferably, the edge width indicates that the data stream increment is expressed when the edge width is thicker, and the data stream decrement is expressed when the edge width is thinner; the edge Color represents the Color of the edge, when the Color of the edge turns red, the Color of the edge indicates that the connection process is abnormal, and the edge associated node and the downstream associated node are marked with red to indicate the abnormality; and the node color turns red to indicate that the data of the node is abnormal, and the downstream nodes related to the node are marked with red to indicate the abnormality.
Has the advantages that: the invention provides a visualization method for government affair big data full life cycle governance, which utilizes log information dynamically generated by each link of data governance to drive various data resource nodes to switch in scenes of different life cycle stages, and distinguishes and represents state information and link directions of the data resources when the states of different life cycle states are switched by differences of colors, thicknesses, flowing directions and flowing speeds through constructing a sideline animation effect; if the node has the correlation aggregation interruption state, the sideline expresses the warning effect presentation in an animation flashing mode, so that the timely and dynamic data visualization presentation is realized, and the method has the advantages of stability, continuity and readability.
According to the context association relationship of the data resources in the full life cycle state, a directed dynamic association edge line is generated in a self-adaptive mode, and an integral framework structure of a directed acyclic relation graph is constructed; the abnormal linkage of the data nodes is avoided, the limitation of the relational graph on the data is reduced, and the universality of the relational graph is improved.
Drawings
Fig. 1 is a visual screenshot of the application case of the big data of the government affairs of the present invention.
Detailed Description
In order that the technical objects and features of the present invention can be more clearly understood, the present invention will be described in detail with reference to specific embodiments.
Referring to a visual display effect screenshot shown in the attached figure 1, the invention provides a visual method for government affair big data full life cycle governance, which comprises the following steps:
initializing context incidence relations of all stages of a full life cycle of a defined data stream, and constructing a visual expression scene of data resources;
dividing data resources of various types into associable node sets according to the stages of the life cycle of the data resources according to the stages and scenes of the life cycle of the data resources;
different data resource types are distinguished and represented through differences of colors, shapes and sizes of the nodes;
according to the context association relationship of the data resources in the full life cycle state, generating a directed dynamic association edge line in a self-adaptive manner, and constructing an integral skeleton structure of a directed acyclic relation graph;
driving various data resource nodes to switch in scenes of different life cycle stages according to log information dynamically generated by each link of data management, and distinguishing and representing state information and link directions of data resources when the states of different life cycle stages are switched by differences of colors, thicknesses, flow directions and flow speeds through constructing animation effects of sidelines; if the node has the associated convergence interruption state, the edge line expresses the warning effect presentation in an animation flashing mode. Generating a mapping relation file corresponding to the relational database in a distributed and column-oriented open source database HBase according to the table structure information of the relational database; acquiring an operation log of the relational database in real time; and acquiring the change data of the relational database according to the acquired operation log, and updating the acquired change data into the HBase of Hadoop according to the established mapping relation file.
When the nodes in any state are interacted by adopting a mouse hovering or clicking triggering mode, the full-link incidence relation between the node and all the associated nodes is highlighted through animation, and the transparency is reduced and the masking effect is added on all other irrelevant nodes and edges to highlight the main information.
Preferably, the data stream lifecycle stage further comprises:
in the data production stage, a specific source or a data provider of data in the data production stage is determined;
in the data carding stage, multi-source data are carded and classified, and the data can be divided according to data types or data providers;
a data aggregation stage, defining a data aggregation platform, and uniformly managing the sorted data;
in the data cataloging stage, cataloging and fusing data in the data aggregation platform, and processing the data cataloging and fusing into shared data;
in the data fusion stage, a sharing platform is defined, and data needing sharing is managed in a unified manner to carry out classified management on the data in the data aggregation platform according to a sharing mode;
and the data application phase lists all units or application items using the data in the shared platform. For example, in a government affairs big data platform, the state of a department task comprises: the green square represents normal, the orange square represents early warning, and the red square represents overdue. The data item update period contains: green squares represent real time, light green squares represent monthly, white squares represent weekly, yellow squares represent monthly, dark yellow squares represent quarterly, pink squares represent yearly, and red squares represent others. The data full life cycle can be divided into the following stages: office, department, data item, platform convergence, base database, base data, business topic, topic data, business application, and the like.
Preferably, the node is represented by snode, [ name, properties, positon ], where name represents a node name, properties represents a node attribute, and position represents a node position; the node attribute comprises a node height (height), a node color (color) and a node icon (nodeImg); defining all node sets as sNodes;
the node-associated edge line is represented by a line, where the line is [ source, target, properties ], where source is a source node name, target is a target node name, properties is an edge attribute, and the line-properties includes a color and a width attribute, where the color represents an edge color, the width represents an edge width, and a set of all edges is defined as the lines.
Preferably, the defined node set and edge set use web development technology, a D3 open source graph drawing engine, SVG drawing data flow graph and interactive operation setting, and the specific steps are as follows:
step 1) acquiring a node set snodes and an edge set slinks;
step 2) traversing the edge set slinks, wherein each item is slink, searching all nodes of source nodes in the slinks, which do not exist in target nodes of the slinks, and returning to the set slinks _ L1 of the first column of nodes;
step 3) traversing slinks _ L1 and slinks to search source nodes associated with target nodes in a slinks _ L1 set to be a second column slinks _ L2, and obtaining a third column (slinks _ L3), a fourth column (slinks _ L4) and a fifth column (slinks _ L5) after recursive processing until obtaining the last column of nodes slinks _ LN;
step 4), dynamically calculating the positions of all columns of nodes according to the size of a drawing area by using an open source drawing engine d3.js for the obtained node sets slinks _ L1, slinks _ L2, … … and slinks _ LN, and drawing;
and 5) drawing a sideline set slinks, calculating the midpoint position of two nodes according to the starting node and the target node, drawing a Bezier curve according to the three points to connect the two nodes, and recursively executing the operation until the operation is finished.
Preferably, the edge width indicates that the data stream increment is expressed when the edge width is thicker, and the data stream decrement is expressed when the edge width is thinner; the edge Color represents the Color of the edge, when the Color of the edge turns red, the Color of the edge indicates that the connection process is abnormal, and the edge associated node and the downstream associated node are marked with red to indicate the abnormality; and the node color turns red to indicate that the data of the node is abnormal, and the downstream nodes related to the node are marked with red to indicate the abnormality.
Claims (5)
1. A visualization method for government affair big data full life cycle governance is characterized by comprising the following steps:
initializing context incidence relations of all stages of a full life cycle of a defined data stream, and constructing a visual expression scene of data resources;
dividing data resources of various types into associable node sets according to the stages of the life cycle of the data resources according to the stages and scenes of the life cycle of the data resources;
different data resource types are distinguished and represented through differences of colors, shapes and sizes of the nodes;
according to the context association relationship of the data resources in the full life cycle state, generating a directed dynamic association edge line in a self-adaptive manner, and constructing an integral skeleton structure of a directed acyclic relation graph;
driving various data resource nodes to switch in scenes of different life cycle stages according to log information dynamically generated by each link of data management, and distinguishing and representing state information and link directions of data resources when the states of different life cycle stages are switched by differences of colors, thicknesses, flow directions and flow speeds through constructing animation effects of sidelines; if the node has a correlation aggregation interruption state, the sideline expresses the presentation of a warning effect in an animation flashing mode;
when the nodes in any state are interacted by adopting a mouse hovering or clicking triggering mode, the full-link incidence relation between the node and all the associated nodes is highlighted through animation, and the transparency is reduced and the masking effect is added on all other irrelevant nodes and edges to highlight the main information.
2. The method of claim 1, further comprising, during the data stream lifecycle phase:
in the data production stage, a specific source or a data provider of data in the data production stage is determined;
in the data carding stage, multi-source data are carded and classified, and the data can be divided according to data types or data providers;
a data aggregation stage, defining a data aggregation platform, and uniformly managing the sorted data;
in the data cataloging stage, cataloging and fusing data in the data aggregation platform, and processing the data cataloging and fusing into shared data;
in the data fusion stage, a sharing platform is defined, and data needing sharing is managed in a unified manner to carry out classified management on the data in the data aggregation platform according to a sharing mode;
and the data application phase lists all units or application items using the data in the shared platform.
3. The method of claim 1, wherein the node is represented by snode, [ name, properties, positon ], wherein name represents a node name, properties represents a node attribute, and position represents a node position; the node attribute comprises a node height (height), a node color (color) and a node icon (nodeImg); defining all node sets as sNodes;
the node-associated edge line is represented by a line, where the line is [ source, target, properties ], where source is a source node name, target is a target node name, properties is an edge attribute, and the line-properties includes a color and a width attribute, where the color represents an edge color, the width represents an edge width, and a set of all edges is defined as the lines.
4. The method of claim 3, wherein the defined node set and edge set are rendered using web development technology, D3 open source graphics rendering engine, using SVG to render dataflow graphs and interoperation settings by the steps of:
step 1) acquiring a node set snodes and an edge set slinks;
step 2) traversing the edge set slinks, wherein each item is slink, searching all nodes of source nodes in the slinks, which do not exist in target nodes of the slinks, and returning to the set slinks _ L1 of the first column of nodes;
step 3) traversing slinks _ L1 and slinks to search source nodes associated with target nodes in a slinks _ L1 set to be a second column slinks _ L2, and obtaining a third column (slinks _ L3), a fourth column (slinks _ L4) and a fifth column (slinks _ L5) after recursive processing until obtaining the last column of nodes slinks _ LN;
step 4), dynamically calculating the positions of all columns of nodes according to the size of a drawing area by using an open source drawing engine d3.js for the obtained node sets slinks _ L1, slinks _ L2, … … and slinks _ LN, and drawing;
and 5) drawing a sideline set slinks, calculating the midpoint position of two nodes according to the starting node and the target node, drawing a Bezier curve according to the three points to connect the two nodes, and recursively executing the operation until the operation is finished.
5. The method of claim 3, wherein the edge width indicates an increment of the data stream if the edge width is increased and a decrement of the data stream if the edge width is decreased; the edge Color represents the Color of the edge, when the Color of the edge turns red, the Color of the edge indicates that the connection process is abnormal, and the edge associated node and the downstream associated node are marked with red to indicate the abnormality; and the node color turns red to indicate that the data of the node is abnormal, and the downstream nodes related to the node are marked with red to indicate the abnormality.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911084589.7A CN110941749A (en) | 2019-11-08 | 2019-11-08 | Visualization method for government affair big data full life cycle governance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911084589.7A CN110941749A (en) | 2019-11-08 | 2019-11-08 | Visualization method for government affair big data full life cycle governance |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110941749A true CN110941749A (en) | 2020-03-31 |
Family
ID=69907327
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911084589.7A Pending CN110941749A (en) | 2019-11-08 | 2019-11-08 | Visualization method for government affair big data full life cycle governance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110941749A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113011984A (en) * | 2021-05-07 | 2021-06-22 | 中国工商银行股份有限公司 | Business data processing method and device for financial products |
| CN113535846A (en) * | 2020-04-20 | 2021-10-22 | 广西中科曙光云计算有限公司 | Big data platform and construction method thereof |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160042104A1 (en) * | 2014-08-06 | 2016-02-11 | William Z. Bernstein | System and method for multi-level data representation of object lifecycle |
| CN105590157A (en) * | 2014-12-25 | 2016-05-18 | 中国银联股份有限公司 | Data management based on data lifecycle management template |
| CN108052580A (en) * | 2017-12-08 | 2018-05-18 | 西南交通大学 | A kind of space-time data immersion visual analysis method based on multilayer related network |
-
2019
- 2019-11-08 CN CN201911084589.7A patent/CN110941749A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160042104A1 (en) * | 2014-08-06 | 2016-02-11 | William Z. Bernstein | System and method for multi-level data representation of object lifecycle |
| CN105590157A (en) * | 2014-12-25 | 2016-05-18 | 中国银联股份有限公司 | Data management based on data lifecycle management template |
| CN108052580A (en) * | 2017-12-08 | 2018-05-18 | 西南交通大学 | A kind of space-time data immersion visual analysis method based on multilayer related network |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113535846A (en) * | 2020-04-20 | 2021-10-22 | 广西中科曙光云计算有限公司 | Big data platform and construction method thereof |
| CN113535846B (en) * | 2020-04-20 | 2023-08-08 | 广西中科曙光云计算有限公司 | Big data platform and construction method thereof |
| CN113011984A (en) * | 2021-05-07 | 2021-06-22 | 中国工商银行股份有限公司 | Business data processing method and device for financial products |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11703826B1 (en) | Monitoring asset hierarchies based on asset group metrics | |
| US11768875B2 (en) | Monitoring system control interface for asset tree determination | |
| US11748390B1 (en) | Evaluating key performance indicators of information technology service | |
| US12067007B1 (en) | Analyzing a pipelined search to determine data on which to execute the pipelined search | |
| US11741089B1 (en) | Interactive location queries for raw machine data | |
| US11693871B1 (en) | Graphical user interface for dynamic elements of asset monitoring and reporting system | |
| US10572541B2 (en) | Adjusting weights for aggregated key performance indicators that include a graphical control element of a graphical user interface | |
| US11037342B1 (en) | Visualization modules for use within a framework for displaying interactive visualizations of event data | |
| US11809439B1 (en) | Updating client dashboarding component of an asset monitoring and reporting system | |
| US12050598B2 (en) | Dynamic dashboard with guided discovery | |
| US9762455B2 (en) | Monitoring IT services at an individual overall level from machine data | |
| US11296955B1 (en) | Aggregate key performance indicator spanning multiple services and based on a priority value | |
| US10447555B2 (en) | Aggregate key performance indicator spanning multiple services | |
| US10861202B1 (en) | Sankey graph visualization for machine data search and analysis system | |
| CN110209486A (en) | Spark flow of task construction method and computer readable storage medium based on interface | |
| CN114510611B (en) | Method and device for constructing metadata blood relationship atlas and related equipment | |
| US11210278B1 (en) | Asset group interface driven by search-derived asset tree hierarchy | |
| CN110086665A (en) | A kind of network topological diagram methods of exhibiting based on jTopo | |
| CN110941749A (en) | Visualization method for government affair big data full life cycle governance | |
| CN103927185A (en) | Network topology modeling device based on energy management and guiding method thereof | |
| CN116382643A (en) | Running system based on low-code platform | |
| CN110083664B (en) | Method for automatically constructing topological model based on CMDB model | |
| Subramanian et al. | Systems dynamics-based modeling of data warehouse quality | |
| US20130218893A1 (en) | Executing in-database data mining processes | |
| KR20090073061A (en) | A system and method for managing the business process model which mapped the logical process and the physical process model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200331 |
|
| WD01 | Invention patent application deemed withdrawn after publication |