september_17_data_sharing_meeting_notes_final
... Dan R- currently have to pull data out of RMIS and PTAGIS and work with it to get the summaries needed. Is there a possibility of getting those summaries directly from the databases? John T- can create custom reports from PTAGIS; other entities have that function at the moment Dan R- those entities ...
... Dan R- currently have to pull data out of RMIS and PTAGIS and work with it to get the summaries needed. Is there a possibility of getting those summaries directly from the databases? John T- can create custom reports from PTAGIS; other entities have that function at the moment Dan R- those entities ...
Need of SOA database for storing SOA
... Need for federated information management Need for SOA data caching Need an unprecedented level of governance ...
... Need for federated information management Need for SOA data caching Need an unprecedented level of governance ...
Holland, Matthew / Hoggarth, Andrew: “Hydrographic Data Models
... The mapping of Nature and human activity, as well as economic development and national growth planning are only a few of the many processes that require the use of accurate information and data administration tools, allowing for an efficient decision making process. This, in the end, would result in ...
... The mapping of Nature and human activity, as well as economic development and national growth planning are only a few of the many processes that require the use of accurate information and data administration tools, allowing for an efficient decision making process. This, in the end, would result in ...
BACK
... Data security is the protection of the database from unauthorized users. Only the authorized persons are allowed to access the database. Some of the users may be allowed to access only a part of database i.e., the data that is related to them or related to their department. Mostly, the DBA or head o ...
... Data security is the protection of the database from unauthorized users. Only the authorized persons are allowed to access the database. Some of the users may be allowed to access only a part of database i.e., the data that is related to them or related to their department. Mostly, the DBA or head o ...
The Data Growth Problem
... The rate of storage consumption is outpacing the reductions in cost, and therefore businesses will continue to spend more on storage if they employ their existing paradigms ...
... The rate of storage consumption is outpacing the reductions in cost, and therefore businesses will continue to spend more on storage if they employ their existing paradigms ...
A ransomware attack puts IT in a battle against the malware
... and ensuring that users get training to be aware of suspicious emails. ...
... and ensuring that users get training to be aware of suspicious emails. ...
Data Transfer
... 1. Export data using Enterprise Manager 2. Import data using Enterprise Manager 3. Truncate table from command line 4. Create Export text file from command line 5. Import data from command line ...
... 1. Export data using Enterprise Manager 2. Import data using Enterprise Manager 3. Truncate table from command line 4. Create Export text file from command line 5. Import data from command line ...
Honey, I got the wrong DLL A REUSE Nightmare.
... • Allowing multiple Owners: often want to query data collected from several owners. Can be done, but now need to trust owners and data collector. ...
... • Allowing multiple Owners: often want to query data collected from several owners. Can be done, but now need to trust owners and data collector. ...
Organizational Intelligence
... Data managers now need to support organizational intelligence technologies ...
... Data managers now need to support organizational intelligence technologies ...
Seasonal-Interannual Climate Variations, Predictability
... Motivation -- to support the interactive content-based browsing of large volumes of data For example, queries on the statistical properties of the data can be used in a content-based browsing process The challenge in query processing performance for large data volumes Solution -- to speed up query e ...
... Motivation -- to support the interactive content-based browsing of large volumes of data For example, queries on the statistical properties of the data can be used in a content-based browsing process The challenge in query processing performance for large data volumes Solution -- to speed up query e ...
Case PowerPoint slides
... There are four dimensions of the scalable system – The ability to input and extract data with consistent response times – The number of users or queries that can be run simultaneously – The environmental complexity of the data model and the queries being run against the model – The degree of support ...
... There are four dimensions of the scalable system – The ability to input and extract data with consistent response times – The number of users or queries that can be run simultaneously – The environmental complexity of the data model and the queries being run against the model – The degree of support ...
Lecture # 10 - WordPress.com
... Data Manipulation Language (DML) statements are used for managing data within schema objects. Some examples: SELECT - retrieve data from the a database INSERT - insert data into a table UPDATE - updates existing data within a table DELETE - deletes all records from a table, the space for the ...
... Data Manipulation Language (DML) statements are used for managing data within schema objects. Some examples: SELECT - retrieve data from the a database INSERT - insert data into a table UPDATE - updates existing data within a table DELETE - deletes all records from a table, the space for the ...
Advanced Data Engineering What is Data Engineering? Databases
... • Big data can mean: – Big volumes of data, but "small analytics” – Big analytics on big volumes of data – Big velocity – Big variety ...
... • Big data can mean: – Big volumes of data, but "small analytics” – Big analytics on big volumes of data – Big velocity – Big variety ...
Ranko Mosic Email: Phone: 408-757
... Innovative and experienced Big Data Architect with deep knowledge of Big Data technologies and how they can be best implemented to create new business products or help with various data management tasks. I am an expert in Big Data technologies ( machine learning; Hadoop/Spark, Impala, Kafka; Google ...
... Innovative and experienced Big Data Architect with deep knowledge of Big Data technologies and how they can be best implemented to create new business products or help with various data management tasks. I am an expert in Big Data technologies ( machine learning; Hadoop/Spark, Impala, Kafka; Google ...
lecture 2 - tables and relationships
... 3. Additional elements that are not in the paper system will need to be added to make a computer based system 4. The translation from paper systems to computer/database systems require extensive understanding of the way the data is to be used 5. Each row in a relation should have a unique identifier ...
... 3. Additional elements that are not in the paper system will need to be added to make a computer based system 4. The translation from paper systems to computer/database systems require extensive understanding of the way the data is to be used 5. Each row in a relation should have a unique identifier ...
Data Collection Database options and Data
... Sliding scale of data point fees eg Phase III conducted recently ~$120,000 per quarter ...
... Sliding scale of data point fees eg Phase III conducted recently ~$120,000 per quarter ...
IS 4420 Database Fundamentals Chapter 11: Data Warehousing
... Aggregated grain – more summarized Finer grains better market basket analysis capability Finer grain more dimension tables, more rows in fact table ...
... Aggregated grain – more summarized Finer grains better market basket analysis capability Finer grain more dimension tables, more rows in fact table ...
Module 3: Using ADO.NET to Access Data
... lblName.Text = myReader.GetString(1) + ", " + _ myReader.GetString(2) myReader.Close() ...
... lblName.Text = myReader.GetString(1) + ", " + _ myReader.GetString(2) myReader.Close() ...
OLAP (Online Analytical Processing)
... business logic and statistical analysis that it relevant for the application and the user, keep it easy enough for the target user. Although some pre programming may be needed we do not think it acceptable if all application definitions have to be allow the user to define new adhoc calculations as p ...
... business logic and statistical analysis that it relevant for the application and the user, keep it easy enough for the target user. Although some pre programming may be needed we do not think it acceptable if all application definitions have to be allow the user to define new adhoc calculations as p ...
Data - U of L Personal Web Sites
... • 1:1 : One Table • 1:M :primary key from one side used as a foreign key in the many side • M:M : New table with a primary key which is a combination of both the other primary ...
... • 1:1 : One Table • 1:M :primary key from one side used as a foreign key in the many side • M:M : New table with a primary key which is a combination of both the other primary ...
Document
... Manipulating Data • The first and last names of customers were entered into the database in all capital letters. We need to change the names so that only the first letter is capitalized (Proper format). • The Proper() function in Excel will accomplish this task – Upper() and Lower() functions conve ...
... Manipulating Data • The first and last names of customers were entered into the database in all capital letters. We need to change the names so that only the first letter is capitalized (Proper format). • The Proper() function in Excel will accomplish this task – Upper() and Lower() functions conve ...
Scientific Database Approaches - SEEK
... Not all Scientific Databases are Alike! Scientific data are available at a number of different “levels” LOW: individual investigator posts data on web page for students to retrieve MEDIUM: Online databases for supporting a project ...
... Not all Scientific Databases are Alike! Scientific data are available at a number of different “levels” LOW: individual investigator posts data on web page for students to retrieve MEDIUM: Online databases for supporting a project ...
Big data
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making. And better decisions can mean greater operational efficiency, cost reduction and reduced risk.Analysis of data sets can find new correlations, to ""spot business trends, prevent diseases, combat crime and so on."" Scientists, business executives, practitioners of media and advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, and biological and environmental research.Data sets grow in size in part because they are increasingly being gathered by cheap and numerous information-sensing mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers, and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 exabytes (2.5×1018) of data were created; The challenge for large enterprises is determining who should own big data initiatives that straddle the entire organization.Work with big data is necessarily uncommon; most analysis is of ""PC size"" data, on a desktop PC or notebook that can handle the available data set.Relational database management systems and desktop statistics and visualization packages often have difficulty handling big data. The work instead requires ""massively parallel software running on tens, hundreds, or even thousands of servers"". What is considered ""big data"" varies depending on the capabilities of the users and their tools, and expanding capabilities make Big Data a moving target. Thus, what is considered ""big"" one year becomes ordinary later. ""For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration.""