This presentation focuses on optimization of queries in MySQL from developer’s perspective. Developers should care about the performance of the application, which includes optimizing SQL queries. It shows the execution plan in MySQL and explain its different formats - tabular, TREE and JSON/visual explain plans. Optimizer features like optimizer hints and histograms as well as newer features like HASH joins, TREE explain plan and EXPLAIN ANALYZE from latest releases are covered. Some real examples of slow queries are included and their optimization explained.
How to Analyze and Tune MySQL Queries for Better Performanceoysteing
Tutorial at Oracle Open World 2015:
Performance of SQL queries plays a big role in application performance. If some queries execute slowly, these queries or the database schema may need tuning. This tutorial covers query processing, optimization methods, and how the MySQL optimizer chooses a specific plan to execute SQL. See demonstrations on how to use tools such as EXPLAIN (including the JSON-based variant), optimizer trace, and performance schema to analyze query plans. See how the Visual Explain functionality in MySQL Workbench helps you to visualize these plans. Based on the analysis, the tutorial covers how to take the next steps for performance tuning. It might mean forcing a particular index, changing the schema, or modifying configuration parameters.
This presentation focuses on optimization of queries in MySQL from developer’s perspective. Developers should care about the performance of the application, which includes optimizing SQL queries. It shows the execution plan in MySQL and explain its different formats - tabular, TREE and JSON/visual explain plans. Optimizer features like optimizer hints and histograms as well as newer features like HASH joins, TREE explain plan and EXPLAIN ANALYZE from latest releases are covered. Some real examples of slow queries are included and their optimization explained.
How to Analyze and Tune MySQL Queries for Better Performanceoysteing
Tutorial at Oracle Open World 2015:
Performance of SQL queries plays a big role in application performance. If some queries execute slowly, these queries or the database schema may need tuning. This tutorial covers query processing, optimization methods, and how the MySQL optimizer chooses a specific plan to execute SQL. See demonstrations on how to use tools such as EXPLAIN (including the JSON-based variant), optimizer trace, and performance schema to analyze query plans. See how the Visual Explain functionality in MySQL Workbench helps you to visualize these plans. Based on the analysis, the tutorial covers how to take the next steps for performance tuning. It might mean forcing a particular index, changing the schema, or modifying configuration parameters.
Oracle Flex ASM - What’s New and Best Practices by Jim WilliamsMarkus Michalewicz
Oracle Open World (OOW) 2014 Presentation by Jim Williams (Oracle ASM Product Manager) on Oracle Flex ASM - What's New and Best Practices. The presentation provides an overview of enhancements (What's New) in Oracle ASM 12c, especially with respect to Oracle Flex ASM, and provides best practices which can be applied in any environment (Flex or Standard ASM). This presentation has also more background information for some of the configuration recommendations that I made in my "Oracle RAC (12.1.0.2) Operational Best Practices" presentation.
Solving the DB2 LUW Administration DilemmaRandy Goering
As a DB2 LUW Database Administrator you are probably reluctant to or prohibited from granting your users* these permissions because doing so gives them permission to other DB2 administrations tasks like stopping the database. If your users are not allowed to do these tasks then who is? Most likely, you, as the DBA will perform these and other administrative functions for your users. Would you like a way to eliminate these tasks from your daily to-do list? This presentation will discuss how to externalize specific administrative tasks with Stored Procedures, Federated procedures, Administrative SQL routines, and views.
Guide To Mastering The MySQL Query Execution PlanOptimiz DBA
In this PPT, we will go in-depth into the world of MySQL query execution plan. We will break it down into its fundamental concepts and learn how it works and how to make use of it in our SQL optimization processes.
Essbase’s “Best in Class” calculation engine enables Essbase and Planning to satisfy a vast array of planning and analysis needs. Whether it’s on-premise, in PBCS custom databases, or in the EPBCS business processes, creating custom logic that meets any analytical need will generate enormous value for your organization. But to take advantage of that power and avoid costly mistakes, you must thoroughly understand what you’re working with.
The Visual Approach to Essbase calculations was developed and refined over 20 years of Essbase and Planning projects with thousands of hours of training. Now, it’s been updated for the cloud and Hybrid Aggregation. The Visual Approach uses many diagrams and visualizations to walk through exactly how Essbase thinks, starting with a thorough explanation of dimensionality, the Essbase calc cycle, global calculation, and controlling calculation scope. It demystifies sparse and dense, showing how to make the block your friend in order to make your calculations (and other Essbase/Planning operations) quickly. Finally, it explains a handful of the most important commands and functions.
This presentation is for power users, admins, and developers who are either new to Essbase and Planning calculations or need to improve their calculation skills. It provides a thorough understanding of the concepts governing Essbase calculations and the core set of commands and functions that are used in virtually every calc script and business rule. It gives you the confidence to tackle new calculation challenges and write better, faster, and more powerful business rules.
Javascript has taken over the world of apps. It is the language for Internet and mobile app development. And Javascript developers want to work with JSON as their primary data structure of choice. Relational database developers can moan about a lack of concern for data integrity, consistency, etc. But that won't stop anybody. So maybe we should give them the best of both worlds: work with JSON, but store and manipulate that JSON data in a powerful, fast, secure relational database: Oracle Database. This presentation introduces attendees to Oracle Database 12c features that make it easy to work with JSON in the database, through PL/SQL, and to publish REST APIs to those PL/SQL calls.
https://oracle.com/plsql
Practical Partitioning in Production with PostgresEDB
Has your table become too large to handle? Have you thought about chopping it up into smaller pieces that are easier to query and maintain? What if it's in constant use? An introduction to the problems that can arise and how PostgreSQL's partitioning features can help, followed by a real-world scenario of partitioning an existing huge table on a live system. We will be looking at the problems caused by having very large tables in your database and how declarative table partitioning in Postgres can help. Also, how to perform dimensioning before but also after creating huge tables, partitioning key selection, the importance of upgrading to get the latest Postgres features and finally we will dive into a real-world scenario of having to partition an existing huge table in use on a production system.
Advanced PLSQL Optimizing for Better PerformanceZohar Elkayam
A Presentation from Oracle Week 2015 in Israel
Agenda:
• Developing PL/SQL:
o Composite Data Types: Records, Collections and Table type
o Advanced Cursors: Ref cursor, Cursor function, Cursor subquery in PL/SQL
o Bulk Binding
o Dynamic SQL – SQL Injection
o Tracing PL/SQL Execution
o Design patterns for PL/SQL: Autonomous Transactions, Invoker and Definer rights, serially_reusable code
o Triggers Improvements
• Compiling PL/SQL:
o PL/SQL Fine-Grain Dependency Management
o PLSQL_OPTIMIZE_LEVEL parameter
o PL/SQL Compile-Time Warnings and Using DBMS_WARNING package
• Tuning PL/SQL:
o Handling Packages in Memory
o Global Temporary Tables
o PL/SQL Function Result Cache and pitfalls
• Oracle Database 12c PL/SQL new features: What is new in Oracle 12c
o Language Usability Enhancements
o New Limitations
• Additional useful features, Tips and Tricks for better performance
Oracle Flex ASM - What’s New and Best Practices by Jim WilliamsMarkus Michalewicz
Oracle Open World (OOW) 2014 Presentation by Jim Williams (Oracle ASM Product Manager) on Oracle Flex ASM - What's New and Best Practices. The presentation provides an overview of enhancements (What's New) in Oracle ASM 12c, especially with respect to Oracle Flex ASM, and provides best practices which can be applied in any environment (Flex or Standard ASM). This presentation has also more background information for some of the configuration recommendations that I made in my "Oracle RAC (12.1.0.2) Operational Best Practices" presentation.
Solving the DB2 LUW Administration DilemmaRandy Goering
As a DB2 LUW Database Administrator you are probably reluctant to or prohibited from granting your users* these permissions because doing so gives them permission to other DB2 administrations tasks like stopping the database. If your users are not allowed to do these tasks then who is? Most likely, you, as the DBA will perform these and other administrative functions for your users. Would you like a way to eliminate these tasks from your daily to-do list? This presentation will discuss how to externalize specific administrative tasks with Stored Procedures, Federated procedures, Administrative SQL routines, and views.
Guide To Mastering The MySQL Query Execution PlanOptimiz DBA
In this PPT, we will go in-depth into the world of MySQL query execution plan. We will break it down into its fundamental concepts and learn how it works and how to make use of it in our SQL optimization processes.
Essbase’s “Best in Class” calculation engine enables Essbase and Planning to satisfy a vast array of planning and analysis needs. Whether it’s on-premise, in PBCS custom databases, or in the EPBCS business processes, creating custom logic that meets any analytical need will generate enormous value for your organization. But to take advantage of that power and avoid costly mistakes, you must thoroughly understand what you’re working with.
The Visual Approach to Essbase calculations was developed and refined over 20 years of Essbase and Planning projects with thousands of hours of training. Now, it’s been updated for the cloud and Hybrid Aggregation. The Visual Approach uses many diagrams and visualizations to walk through exactly how Essbase thinks, starting with a thorough explanation of dimensionality, the Essbase calc cycle, global calculation, and controlling calculation scope. It demystifies sparse and dense, showing how to make the block your friend in order to make your calculations (and other Essbase/Planning operations) quickly. Finally, it explains a handful of the most important commands and functions.
This presentation is for power users, admins, and developers who are either new to Essbase and Planning calculations or need to improve their calculation skills. It provides a thorough understanding of the concepts governing Essbase calculations and the core set of commands and functions that are used in virtually every calc script and business rule. It gives you the confidence to tackle new calculation challenges and write better, faster, and more powerful business rules.
Javascript has taken over the world of apps. It is the language for Internet and mobile app development. And Javascript developers want to work with JSON as their primary data structure of choice. Relational database developers can moan about a lack of concern for data integrity, consistency, etc. But that won't stop anybody. So maybe we should give them the best of both worlds: work with JSON, but store and manipulate that JSON data in a powerful, fast, secure relational database: Oracle Database. This presentation introduces attendees to Oracle Database 12c features that make it easy to work with JSON in the database, through PL/SQL, and to publish REST APIs to those PL/SQL calls.
https://oracle.com/plsql
Practical Partitioning in Production with PostgresEDB
Has your table become too large to handle? Have you thought about chopping it up into smaller pieces that are easier to query and maintain? What if it's in constant use? An introduction to the problems that can arise and how PostgreSQL's partitioning features can help, followed by a real-world scenario of partitioning an existing huge table on a live system. We will be looking at the problems caused by having very large tables in your database and how declarative table partitioning in Postgres can help. Also, how to perform dimensioning before but also after creating huge tables, partitioning key selection, the importance of upgrading to get the latest Postgres features and finally we will dive into a real-world scenario of having to partition an existing huge table in use on a production system.
Advanced PLSQL Optimizing for Better PerformanceZohar Elkayam
A Presentation from Oracle Week 2015 in Israel
Agenda:
• Developing PL/SQL:
o Composite Data Types: Records, Collections and Table type
o Advanced Cursors: Ref cursor, Cursor function, Cursor subquery in PL/SQL
o Bulk Binding
o Dynamic SQL – SQL Injection
o Tracing PL/SQL Execution
o Design patterns for PL/SQL: Autonomous Transactions, Invoker and Definer rights, serially_reusable code
o Triggers Improvements
• Compiling PL/SQL:
o PL/SQL Fine-Grain Dependency Management
o PLSQL_OPTIMIZE_LEVEL parameter
o PL/SQL Compile-Time Warnings and Using DBMS_WARNING package
• Tuning PL/SQL:
o Handling Packages in Memory
o Global Temporary Tables
o PL/SQL Function Result Cache and pitfalls
• Oracle Database 12c PL/SQL new features: What is new in Oracle 12c
o Language Usability Enhancements
o New Limitations
• Additional useful features, Tips and Tricks for better performance
Today, many businesses around the world are using an Oracle product and in many of these at the core there is an Oracle Database. Many of us who started as a Database administrator where put in this position because we were good PL/SQL programmers or good Sysadmins, but knew very little of what it took to be a DBA. In this session you will learn the core architecture of an Oracle Database in 12c as well as what it takes to administer and apply this new knowledge the day you go back to your office.
racle DBA Interview Questions and Answers, CBT, Oracle E-books, Certifications http://oracledba-interview.blogspot.com.The best collections of Videos CBT or oracle dba the best collection of oracle dba Books interview questions even a dummy can get a job easily.Learn Oracle DBA in 1 2 3 steps
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
