The document discusses security issues with databases and Oracle's database security solutions. It notes that 97% of breaches were avoidable with basic controls, 98% of records were stolen from databases, and 84% of records were breached using stolen credentials. Oracle provides database security solutions like encryption, activity monitoring, auditing, and privileged user controls to help prevent breaches through a defense-in-depth approach.
Security Inside Out: Latest Innovations in Oracle Database 12cTroy Kitch
Oracle Database 12c includes more new security capabilities than any other release in Oracle history! In this presentation you will learn about these capabilities, as well as innovative new solutions to protect Oracle Database instances and non-Oracle databases. Hear how Oracle is responding to customer requirements to stay ahead of the evolving threat and regulatory landscape with new preventive controls that include data redaction and a new unified platform that provides database traffic monitoring and enterprise wide auditing.
1) The document discusses the growing threats to database security from increased data volumes, security breaches, and compliance mandates.
2) Oracle Database Security provides defense-in-depth protections including access control, encryption, auditing, and data masking.
3) Case studies show how Oracle Advanced Security solutions like Transparent Data Encryption and Data Masking Pack helped customers effectively protect sensitive data and meet compliance requirements.
This document provides a summary of the Oracle Database 2 Day + Security Guide, which introduces common day-to-day security tasks in Oracle Database. The guide is intended for database administrators who want to learn database security skills or who have some security knowledge but are new to Oracle Database. It covers topics such as securing the database installation, managing user privileges, encrypting data, controlling access with Oracle Database Vault, restricting access with Oracle Virtual Private Database, limiting access to sensitive data using Oracle Data Redaction, enforcing row-level security with Oracle Label Security, and auditing database activity. The guide includes tutorials for each of these security features to help the reader learn how to implement them. It also references related Oracle security documentation for more
Introducing Oracle Audit Vault and Database FirewallTroy Kitch
Join us to hear about a new Oracle product that monitors Oracle and non-Oracle database traffic, detects unauthorized activity including SQL injection attacks, and blocks internal and external threats from reaching the database. In addition this new product collects and consolidates audit data from databases, operating systems, directories, and any custom template-defined source into a centralized, secure warehouse. This new enterprise security monitoring and auditing platform allows organizations to quickly detect and respond to threats with powerful real-time policy analysis, alerting and reporting capabilities. Based on proven SQL grammar analysis that ensures accuracy, performance, and scalability, organizations can deploy with confidence in any mode. You will also hear how organizations such as TransUnion Interactive and SquareTwo Financial rely on Oracle today to monitor and secure their Oracle and non-Oracle database environments.
Oracle database 12c security and complianceFITSFSd
This document discusses Oracle Database 12c security features. It describes how Oracle Database 12c prevents database bypass, protects against operating system-level data access through transparent data encryption, and manages encryption keys with Oracle Key Vault. The document also covers reducing sensitive data exposure in applications, limiting exposure when sharing data, preventing application bypass, and protecting against privileged user bypass.
This document discusses database security solutions from Oracle, including Oracle Audit Vault and Database Firewall. It provides an overview of the Oracle Database Security solutions for activity monitoring, database firewalling, auditing and reporting, and encryption. It then focuses on describing the features and benefits of Oracle Audit Vault and Database Firewall, including how they provide database activity auditing and monitoring, extensive reporting, powerful alerting, and strengthened data security.
Oracle Audit Vault and Database Firewall provide first line of defense for data security. Audit Vault collects audit data from multiple sources and stores it in a central repository, while Database Firewall monitors database activity in real-time and protects against SQL injections using positive and negative policy models. Both products support extensive reporting, alerting, and flexible deployment across the enterprise.
The document discusses security issues with databases and Oracle's database security solutions. It notes that 97% of breaches were avoidable with basic controls, 98% of records were stolen from databases, and 84% of records were breached using stolen credentials. Oracle provides database security solutions like encryption, activity monitoring, auditing, and privileged user controls to help prevent breaches through a defense-in-depth approach.
Security Inside Out: Latest Innovations in Oracle Database 12cTroy Kitch
Oracle Database 12c includes more new security capabilities than any other release in Oracle history! In this presentation you will learn about these capabilities, as well as innovative new solutions to protect Oracle Database instances and non-Oracle databases. Hear how Oracle is responding to customer requirements to stay ahead of the evolving threat and regulatory landscape with new preventive controls that include data redaction and a new unified platform that provides database traffic monitoring and enterprise wide auditing.
1) The document discusses the growing threats to database security from increased data volumes, security breaches, and compliance mandates.
2) Oracle Database Security provides defense-in-depth protections including access control, encryption, auditing, and data masking.
3) Case studies show how Oracle Advanced Security solutions like Transparent Data Encryption and Data Masking Pack helped customers effectively protect sensitive data and meet compliance requirements.
This document provides a summary of the Oracle Database 2 Day + Security Guide, which introduces common day-to-day security tasks in Oracle Database. The guide is intended for database administrators who want to learn database security skills or who have some security knowledge but are new to Oracle Database. It covers topics such as securing the database installation, managing user privileges, encrypting data, controlling access with Oracle Database Vault, restricting access with Oracle Virtual Private Database, limiting access to sensitive data using Oracle Data Redaction, enforcing row-level security with Oracle Label Security, and auditing database activity. The guide includes tutorials for each of these security features to help the reader learn how to implement them. It also references related Oracle security documentation for more
Introducing Oracle Audit Vault and Database FirewallTroy Kitch
Join us to hear about a new Oracle product that monitors Oracle and non-Oracle database traffic, detects unauthorized activity including SQL injection attacks, and blocks internal and external threats from reaching the database. In addition this new product collects and consolidates audit data from databases, operating systems, directories, and any custom template-defined source into a centralized, secure warehouse. This new enterprise security monitoring and auditing platform allows organizations to quickly detect and respond to threats with powerful real-time policy analysis, alerting and reporting capabilities. Based on proven SQL grammar analysis that ensures accuracy, performance, and scalability, organizations can deploy with confidence in any mode. You will also hear how organizations such as TransUnion Interactive and SquareTwo Financial rely on Oracle today to monitor and secure their Oracle and non-Oracle database environments.
Oracle database 12c security and complianceFITSFSd
This document discusses Oracle Database 12c security features. It describes how Oracle Database 12c prevents database bypass, protects against operating system-level data access through transparent data encryption, and manages encryption keys with Oracle Key Vault. The document also covers reducing sensitive data exposure in applications, limiting exposure when sharing data, preventing application bypass, and protecting against privileged user bypass.
This document discusses database security solutions from Oracle, including Oracle Audit Vault and Database Firewall. It provides an overview of the Oracle Database Security solutions for activity monitoring, database firewalling, auditing and reporting, and encryption. It then focuses on describing the features and benefits of Oracle Audit Vault and Database Firewall, including how they provide database activity auditing and monitoring, extensive reporting, powerful alerting, and strengthened data security.
Oracle Audit Vault and Database Firewall provide first line of defense for data security. Audit Vault collects audit data from multiple sources and stores it in a central repository, while Database Firewall monitors database activity in real-time and protects against SQL injections using positive and negative policy models. Both products support extensive reporting, alerting, and flexible deployment across the enterprise.
PCI DSS v 3.0 and Oracle Security MappingTroy Kitch
This document discusses helping customers comply with PCI DSS v3.0 requirements for payment card security. It provides an overview of the history of payments, reasons for PCI standards due to losses from security breaches, details of PCI requirements and levels based on transaction volume, and capabilities of Oracle products to address key requirements such as encrypting stored data and restricting access. Real-world examples of Oracle customers SquareTwo Financial and TransUnion are also presented that secured cardholder data and addressed compliance needs using Oracle technologies.
This document provides tips and best practices for securing Oracle databases. It begins with an introduction to the speaker, Francisco Munoz Alvarez, who is an Oracle ACE Director. The bulk of the document then lists 27 security tips for Oracle databases, such as granting only necessary privileges to users, encrypting passwords, implementing strong audit policies, and more. It concludes with a brief description of the Oracle ACE program, which recognizes individuals who contribute to Oracle technology communities.
Auditing security of Oracle DB (Karel Miko)DCIT, a.s.
The document discusses auditing security of Oracle databases. It divides the audit into four technical phases:
1) Auditing the operating system level, including checking permissions on the Oracle home directory and verifying the OS account used for Oracle has appropriate privileges.
2) Auditing the Oracle RDBMS level, including validating the Oracle version and installed patches.
3) Auditing Oracle database instances, including verifying database options and privileges granted to users and roles.
4) Auditing related processes, such as the Oracle listener and associated configuration files.
The document introduces Oracle Key Vault for centralized encryption key management. It discusses key management challenges around proliferation of keys, sharing keys, availability, and regulatory compliance. Oracle Key Vault provides a secure key manager that is optimized for Oracle software and compliant with standards. It allows centrally managing and sharing keys across databases, middleware, and systems. The appliance-based solution provides tools for enrollment, provisioning, user management, reporting, and wallet administration.
Database & Technology 1 _ Barbara Rabinowicz _ Database Security Methoda and ...InSync2011
Barbara Rabinowicz provides an overview of database security methods and techniques. She discusses why database security is important given past hacking incidents. Some key recommendations for hardening an Oracle environment include: securing the physical server location; limiting user privileges and roles; restricting access to sensitive views and tables; and revoking unneeded privileges from publicly executable packages. The document outlines numerous steps to help enhance database security.
This document discusses Oracle security solutions. It begins with an overview of recent security breaches and their causes and consequences. It then discusses Oracle's defense-in-depth approach to security across infrastructure, database, middleware, applications, and interactions. The document outlines Oracle's security portfolio and components across these areas. It notes benefits to customers such as cost savings, compliance support, and integration capabilities. It concludes with recommendations based on lessons from client engagements and references Oracle security resources.
The document discusses Oracle's database security solutions. It notes that data security is a top priority for enterprises and that more data and breaches are occurring than ever before. It then summarizes Oracle's solutions like Database Firewall, Configuration Management, Total Recall, Audit Vault, Database Vault, and Data Masking which provide capabilities like monitoring, access control, auditing, encryption, and identity management to help secure database environments with a defense-in-depth approach.
Oracle Key Vault Data Subsetting and MaskingDLT Solutions
The document provides an overview of Oracle Key Vault and Data Subsetting and Masking Pack. It discusses how Oracle Key Vault can be used to centrally manage encryption keys and securely share them across databases, middleware, and systems. It also summarizes the key capabilities of Oracle Data Subsetting and Masking Pack, which can be used to discover, mask, and subset sensitive data to limit its proliferation while sharing non-sensitive data with others. The document highlights use cases, challenges, methodology, transformation types, and deployment options for data masking and subsetting.
Oracle database 12c data masking and subsetting guidebupbechanhgmail
This document provides an overview of Oracle Data Masking and Subsetting and describes its key components and architecture. It discusses the need to mask and subset sensitive data when copying it from production to non-production environments. The main components are Application Data Modeling, masking formats, transformations, subsetting techniques, and application templates. Data can be masked and subsetted using in-database, in-export, or heterogeneous execution methods according to a standardized methodology and workflow.
This document discusses database security issues and threats. It outlines major vulnerabilities like unpatched software, improper configurations, and default passwords. Two major threats are application vulnerabilities and internal employees exploiting systems. The document recommends mitigation strategies like locking default usernames and passwords, enforcing strong password policies, auditing privileges, and following the principle of least privilege. It also provides examples of SQL injection attacks and recommends error handling and use of bind variables as solutions.
Oracle Audit Vault Training | Audit Vault - Oracle TrainingsOracleTrainings
Oracle Audit Vault is a centralized Oracle database that stores all the audit data from the agents & secure data . Join Audit Vault Training at Oracle Trainings
The document discusses a solution brief from Imperva and Vormetric that combines Imperva's database activity monitoring capabilities with Vormetric's data encryption to provide comprehensive database security. The integrated solution monitors and controls access for both privileged and non-privileged users across heterogeneous database environments, while encrypting sensitive data. This layered approach helps customers meet a variety of compliance requirements and defend against both internal and external threats to sensitive database information.
Best Practices for implementing Database Security Comprehensive Database Secu...Kal BO
Best Practices for implementing Database Security
Comprehensive Database Security
Saikat Saha
Product Director
Database Security, Oracle
October 02, 2017
The document discusses various database options and packs available for the Oracle database. It summarizes:
- Real Application Clusters which allows databases to run on a shared platform for high availability and scalability.
- Advanced Compression which can compress tables by up to 4x to improve performance and reduce storage costs.
- Various security, management, and diagnostic packs that provide capabilities like encryption, auditing, performance monitoring and issue diagnosis, and automatic tuning.
Imperva and Vormetric provide database security through a combination of database activity monitoring and encryption capabilities. This solution monitors and controls access for both privileged and non-privileged users inside and outside the database, while also encrypting sensitive data. It enables comprehensive protection of databases across physical, virtual, and cloud environments to meet regulatory compliance requirements. The joint solution from Imperva and Vormetric delivers layered database security through transparency, manageability, and rapid deployment.
DevTalks.ro 2019 What's New in MySQL 8.0 SecurityGeorgi Kodinov
This document discusses new security features in MySQL 8.0 and MySQL Enterprise Edition. It begins with an overview of MySQL security architecture including authentication, authorization, encryption, firewalls, auditing, and new masking/de-identification features. New features in MySQL 8.0 include roles for improving access controls, atomic ACL statements, and dynamic privileges. MySQL Enterprise Edition includes new data masking, de-identification and random data generation features. The document also discusses authentication, encryption, password features and a new security model for cloud deployments.
This presentation discusses securing databases in the cloud. It begins with an overview of cloud infrastructure and open-source products like MySQL, PostgreSQL, MongoDB, and Hadoop. It then covers security risks to data in the cloud from threats like insecure cryptographic storage and attacks on file systems. Methods for protecting databases are discussed, including access controls, encryption, and key management solutions. The presentation concludes by describing how a product called ezEncrypt provides transparent encryption to securely store data.
The document discusses PCI (Payment Card Industry) compliance and assessments. It describes the 12 requirements of PCI compliance including installing firewalls, encrypting cardholder data transmission, restricting access to data, and maintaining security policies. It outlines how the Gazzang data security solution, including its ezNcrypt encryption tool and Key Storage System, can help organizations meet these requirements by encrypting database data and securing encryption keys. The document provides guidance on preparing for a PCI audit and designing a secure credit card data system architecture in the cloud.
Webinar: Technical Introduction to Native Encryption on MongoDBMongoDB
The new encrypted storage engine in MongoDB 3.2 allows you to more easily build secure applications that handle sensitive data. Attend this webinar to learn how the internals work and discover all of the options available to you for securing your data.
- Oracle Database Firewall provides database security and monitoring capabilities to prevent unauthorized access and data loss. It uses white-list and black-list security policies to control database access and activity.
- The firewall can block, substitute, alert on, or log SQL statements in real-time without impacting application performance. It also provides built-in and custom compliance reports.
- The presentation discusses how the firewall protects against common threats like SQL injection and stolen credentials while maintaining transparency to applications.
PCI DSS v 3.0 and Oracle Security MappingTroy Kitch
This document discusses helping customers comply with PCI DSS v3.0 requirements for payment card security. It provides an overview of the history of payments, reasons for PCI standards due to losses from security breaches, details of PCI requirements and levels based on transaction volume, and capabilities of Oracle products to address key requirements such as encrypting stored data and restricting access. Real-world examples of Oracle customers SquareTwo Financial and TransUnion are also presented that secured cardholder data and addressed compliance needs using Oracle technologies.
This document provides tips and best practices for securing Oracle databases. It begins with an introduction to the speaker, Francisco Munoz Alvarez, who is an Oracle ACE Director. The bulk of the document then lists 27 security tips for Oracle databases, such as granting only necessary privileges to users, encrypting passwords, implementing strong audit policies, and more. It concludes with a brief description of the Oracle ACE program, which recognizes individuals who contribute to Oracle technology communities.
Auditing security of Oracle DB (Karel Miko)DCIT, a.s.
The document discusses auditing security of Oracle databases. It divides the audit into four technical phases:
1) Auditing the operating system level, including checking permissions on the Oracle home directory and verifying the OS account used for Oracle has appropriate privileges.
2) Auditing the Oracle RDBMS level, including validating the Oracle version and installed patches.
3) Auditing Oracle database instances, including verifying database options and privileges granted to users and roles.
4) Auditing related processes, such as the Oracle listener and associated configuration files.
The document introduces Oracle Key Vault for centralized encryption key management. It discusses key management challenges around proliferation of keys, sharing keys, availability, and regulatory compliance. Oracle Key Vault provides a secure key manager that is optimized for Oracle software and compliant with standards. It allows centrally managing and sharing keys across databases, middleware, and systems. The appliance-based solution provides tools for enrollment, provisioning, user management, reporting, and wallet administration.
Database & Technology 1 _ Barbara Rabinowicz _ Database Security Methoda and ...InSync2011
Barbara Rabinowicz provides an overview of database security methods and techniques. She discusses why database security is important given past hacking incidents. Some key recommendations for hardening an Oracle environment include: securing the physical server location; limiting user privileges and roles; restricting access to sensitive views and tables; and revoking unneeded privileges from publicly executable packages. The document outlines numerous steps to help enhance database security.
This document discusses Oracle security solutions. It begins with an overview of recent security breaches and their causes and consequences. It then discusses Oracle's defense-in-depth approach to security across infrastructure, database, middleware, applications, and interactions. The document outlines Oracle's security portfolio and components across these areas. It notes benefits to customers such as cost savings, compliance support, and integration capabilities. It concludes with recommendations based on lessons from client engagements and references Oracle security resources.
The document discusses Oracle's database security solutions. It notes that data security is a top priority for enterprises and that more data and breaches are occurring than ever before. It then summarizes Oracle's solutions like Database Firewall, Configuration Management, Total Recall, Audit Vault, Database Vault, and Data Masking which provide capabilities like monitoring, access control, auditing, encryption, and identity management to help secure database environments with a defense-in-depth approach.
Oracle Key Vault Data Subsetting and MaskingDLT Solutions
The document provides an overview of Oracle Key Vault and Data Subsetting and Masking Pack. It discusses how Oracle Key Vault can be used to centrally manage encryption keys and securely share them across databases, middleware, and systems. It also summarizes the key capabilities of Oracle Data Subsetting and Masking Pack, which can be used to discover, mask, and subset sensitive data to limit its proliferation while sharing non-sensitive data with others. The document highlights use cases, challenges, methodology, transformation types, and deployment options for data masking and subsetting.
Oracle database 12c data masking and subsetting guidebupbechanhgmail
This document provides an overview of Oracle Data Masking and Subsetting and describes its key components and architecture. It discusses the need to mask and subset sensitive data when copying it from production to non-production environments. The main components are Application Data Modeling, masking formats, transformations, subsetting techniques, and application templates. Data can be masked and subsetted using in-database, in-export, or heterogeneous execution methods according to a standardized methodology and workflow.
This document discusses database security issues and threats. It outlines major vulnerabilities like unpatched software, improper configurations, and default passwords. Two major threats are application vulnerabilities and internal employees exploiting systems. The document recommends mitigation strategies like locking default usernames and passwords, enforcing strong password policies, auditing privileges, and following the principle of least privilege. It also provides examples of SQL injection attacks and recommends error handling and use of bind variables as solutions.
Oracle Audit Vault Training | Audit Vault - Oracle TrainingsOracleTrainings
Oracle Audit Vault is a centralized Oracle database that stores all the audit data from the agents & secure data . Join Audit Vault Training at Oracle Trainings
The document discusses a solution brief from Imperva and Vormetric that combines Imperva's database activity monitoring capabilities with Vormetric's data encryption to provide comprehensive database security. The integrated solution monitors and controls access for both privileged and non-privileged users across heterogeneous database environments, while encrypting sensitive data. This layered approach helps customers meet a variety of compliance requirements and defend against both internal and external threats to sensitive database information.
Best Practices for implementing Database Security Comprehensive Database Secu...Kal BO
Best Practices for implementing Database Security
Comprehensive Database Security
Saikat Saha
Product Director
Database Security, Oracle
October 02, 2017
The document discusses various database options and packs available for the Oracle database. It summarizes:
- Real Application Clusters which allows databases to run on a shared platform for high availability and scalability.
- Advanced Compression which can compress tables by up to 4x to improve performance and reduce storage costs.
- Various security, management, and diagnostic packs that provide capabilities like encryption, auditing, performance monitoring and issue diagnosis, and automatic tuning.
Imperva and Vormetric provide database security through a combination of database activity monitoring and encryption capabilities. This solution monitors and controls access for both privileged and non-privileged users inside and outside the database, while also encrypting sensitive data. It enables comprehensive protection of databases across physical, virtual, and cloud environments to meet regulatory compliance requirements. The joint solution from Imperva and Vormetric delivers layered database security through transparency, manageability, and rapid deployment.
DevTalks.ro 2019 What's New in MySQL 8.0 SecurityGeorgi Kodinov
This document discusses new security features in MySQL 8.0 and MySQL Enterprise Edition. It begins with an overview of MySQL security architecture including authentication, authorization, encryption, firewalls, auditing, and new masking/de-identification features. New features in MySQL 8.0 include roles for improving access controls, atomic ACL statements, and dynamic privileges. MySQL Enterprise Edition includes new data masking, de-identification and random data generation features. The document also discusses authentication, encryption, password features and a new security model for cloud deployments.
This presentation discusses securing databases in the cloud. It begins with an overview of cloud infrastructure and open-source products like MySQL, PostgreSQL, MongoDB, and Hadoop. It then covers security risks to data in the cloud from threats like insecure cryptographic storage and attacks on file systems. Methods for protecting databases are discussed, including access controls, encryption, and key management solutions. The presentation concludes by describing how a product called ezEncrypt provides transparent encryption to securely store data.
The document discusses PCI (Payment Card Industry) compliance and assessments. It describes the 12 requirements of PCI compliance including installing firewalls, encrypting cardholder data transmission, restricting access to data, and maintaining security policies. It outlines how the Gazzang data security solution, including its ezNcrypt encryption tool and Key Storage System, can help organizations meet these requirements by encrypting database data and securing encryption keys. The document provides guidance on preparing for a PCI audit and designing a secure credit card data system architecture in the cloud.
Webinar: Technical Introduction to Native Encryption on MongoDBMongoDB
The new encrypted storage engine in MongoDB 3.2 allows you to more easily build secure applications that handle sensitive data. Attend this webinar to learn how the internals work and discover all of the options available to you for securing your data.
- Oracle Database Firewall provides database security and monitoring capabilities to prevent unauthorized access and data loss. It uses white-list and black-list security policies to control database access and activity.
- The firewall can block, substitute, alert on, or log SQL statements in real-time without impacting application performance. It also provides built-in and custom compliance reports.
- The presentation discusses how the firewall protects against common threats like SQL injection and stolen credentials while maintaining transparency to applications.
The document discusses MongoDB's plans to implement an encrypted storage engine. It will begin by explaining why MongoDB needs encryption at rest and how an encrypted storage engine benefits users. It then details how the encrypted storage engine will work, including using a key manager to handle encryption keys, encrypting data with WiredTiger storage engine using AES-256, and supporting encryption at the database level. It concludes by stating that the encrypted storage engine will be available in an upcoming MongoDB Enterprise Advanced release.
1) Data breaches are a constant threat, with insiders posing a major risk.
2) Proactive database forensics is an emerging area that can help detect and respond to insider threats.
3) A proactive forensic architecture is needed to integrate auditing and forensics activities to reliably gather evidence from multiple sources and ensure its integrity.
This document discusses execution plans in Oracle databases. It begins by defining an execution plan as the detailed steps the optimizer uses to execute a SQL statement, expressed as database operators. It then covers how to generate plans using EXPLAIN PLAN or V$SQL_PLAN, what constitutes a good plan for the optimizer in terms of cost and performance, and key aspects of plans including cardinality, access paths, join types, and join order. Examples are provided to illustrate each concept.
The document discusses how Oracle's database security products can help organizations comply with the EU's General Data Protection Regulation (GDPR). It provides an overview of the GDPR, including its key objectives to establish data privacy rights and increase enforcement. It also outlines the core actors in the GDPR such as data subjects, controllers, processors, and supervisory authorities. Finally, it maps Oracle's security features to three key GDPR data security requirements: assessing security risks, preventing attacks, and monitoring to detect breaches.
Gitora helps PL/SQL developers manage their code base with Git version control. It allows developers to commit changes to PL/SQL objects to Git, lock objects in the database while editing, and automatically move changes between databases. Using Gitora improves productivity by enabling features like branching, merging, and automated testing and deployment. It also reduces errors by enforcing version control rules at the database level.
The document discusses several new features in Oracle Database 11g for management enhancements including:
1) Change capture and replay capabilities to setup test environments and perform online application upgrades.
2) Snapshot standbys for test environments that allow testing and discarding of writes without impacting the primary database.
3) Database replay to capture and replay workloads in pre-and post-change systems to analyze for errors or performance issues.
4) Several new capabilities for online patching, upgrades, and automatic diagnostic workflows.
This document discusses database security. It introduces the CIA triangle of confidentiality, integrity and availability as key security objectives. It describes various security access points like people, applications, networks and operating systems. It also discusses vulnerabilities, threats, risks and different security methods to protect databases. The document provides an overview of concepts important for implementing database security.
This was presented at Oracle's 11g R2 Live seminars in June. It allowed customers and partners to view the benefits of implementing or upgrading to Oracle's latest version of it's database and Advanced Technology products such as Real Application Clusters, Real Application Testing and Enteprise Manager.
This was presented at Oracle's 11g R2 Live seminars in June. It allowed customers and partners to view the benefits of implementing or upgrading to Oracle's latest version of it's database and Advanced technology products such as real Application Clusters, Real Application Testing and Enteprise Manager.
An Oracle database instance consists of background processes that control one or more databases. A schema is a set of database objects owned by a user that apply to a specific application. Tables store data in rows and columns, and indexes and constraints help maintain data integrity and improve query performance. Database administrators perform tasks like installing and upgrading databases, managing storage, security, backups and high availability.
This document provides an overview of the Oracle database architecture. It describes the major components of Oracle's architecture, including the memory structures like the system global area and program global area, background processes, and the logical and physical storage structures. The key components are the database buffer cache, redo log buffer, shared pool, processes, tablespaces, data files, and redo log files.
A database administrator is responsible for installing, configuring, upgrading, administering, monitoring and maintaining databases. Key responsibilities include database design, performance and capacity issues, data replication, and table maintenance. DBAs ensure proper data organization and management through their skills in SQL, database design, and knowledge of database management systems and operating systems. There are several types of DBAs based on their specific roles like system DBA, database architect, and data warehouse administrator.
Slides present data and information system. In any information system security and integrity is the prime concern. How we can make sure stored data is more secure and generated information should be accurate, reliable and consistent.
The document discusses SQL injection attacks and methods for preventing them. It describes SQL injection as malicious SQL code being passed into an application's user input fields. This can result in data corruption, theft, or systems being compromised. The document outlines best practices for preventing SQL injections, such as input validation and output encoding. It then demonstrates how the Oracle Database Firewall provides defenses against SQL injections through features like SQL monitoring, blocking, and auditing.
The objective of this workshop is to show existing Oracle Database (Enterprise
Edition, Exadata, Autonomous Database, EXACS, DBCS) customers how to
attach your Database to Data safe and gain valuable understanding of
potential risks. Using user Assessment, understand rights and entitlement of
users and review activity auditing which provides powerful insight to database
interaction. The workshop will finish with a full sensitive data discovery and
then how to anonymize date with sensitive data masking.
The workshop is delivered in an interactive way with Presentations and Hands on
Labs to ensure complete understanding.
DBSAT is a security assessment tool from Oracle that allows users to assess the security of their Oracle databases. It provides three main functions: it collects metadata on users, roles, privileges and security configuration; it generates a summary report of findings and recommendations; and it discovers sensitive data in the database. The tool aims to help users understand their database security posture, privileged users and roles, and sensitive data stored in the database.
The document discusses security features in Oracle Database 12c including Transparent Data Encryption (TDE), Privilege Analysis, Database Vault, Database Firewall, Data Redaction, Data Masking, and Audit Vault. It provides an overview of each technology and how they can be used to secure data at rest and in motion, monitor and control privileged access, and audit database activity. The document also outlines an agenda to cover these security controls in more depth.
PCI Compliance: How to Remain Compliant and Gain Near Real-Time Analytics on ...Emtec Inc.
This document discusses PCI compliance and real-time analytics using Oracle tools. It provides background on PCI standards and compliance requirements. It then describes how Oracle tools can help with six PCI requirements, including encrypting data, restricting access, and reporting. The document also discusses challenges with native Oracle reporting and interim reporting. It then describes a materialized view solution developed to provide portable data and near real-time analytics on credit card transactions in Oracle E-Business Suite.
This document outlines Oracle's product direction for data security at the source in public and private sectors. It discusses business drivers for security such as governance, risk management and compliance needs as well as security threats. It then describes Oracle's database security solutions like Transparent Data Encryption, Database Vault, and Audit Vault that secure data at rest, in motion and for testing. Case studies show how customers in various industries like banking, telecom, and public sectors have implemented Oracle's database security to protect sensitive data and comply with regulations. The document concludes that Oracle's database security solutions provide a preventive and detective approach to protect data at the source.
Exploding data growth doesn’t mean you have to sacrifice data security or compliance readiness. The more clarity you have into where your sensitive data is and who is accessing it, the easier it is to secure and meet compliance regulations.
Walk through this presentation to learn how to:
- Detect and block cyber security events in real-time
- Protect large and diverse data environments
- Simplify compliance enforcements and reporting
- Take control of escalating costs.
Best Practices in Implementing Oracle Database Security ProductsEstuate, Inc.
Information is the world’s new currency. Databases are the digital banks that store and retrieve valuable information. The growing number of high-profile incidents in which customer records, confidential information and intellectual property are leaked, lost or stolen has created an explosive demand for solutions that protect against the deliberate or inadvertent release of sensitive information.Oracle is the global leader in relational database technology, and has built a rich set of database security products and database features within its product portfolio.
The EU General Protection Regulation and how Oracle can help Niklas Hjorthen
The document discusses Oracle's technology solutions that can help organizations comply with the EU General Data Protection Regulation (GDPR). It provides an overview of GDPR requirements and describes Oracle products that address key areas like data discovery, access controls, monitoring and auditing, and personal data management. It outlines a multi-step approach organizations can take using Oracle technologies to establish the necessary technical foundation and processes for GDPR compliance.
The document discusses security in Oracle databases. It covers several topics: Oracle Label Security which allows row-level access control based on user privileges; data masking and subsetting tools for replacing sensitive data; and auditing of database activities for accountability, investigation, and problem detection. Oracle provides various security components like encryption, redaction, key vaults, and firewalls to control access and monitor use of sensitive information in the database.
The document discusses security in Oracle databases. It covers several topics: Oracle Label Security which allows row-level access control based on user privileges; data masking and subsetting tools for replacing sensitive data; auditing of database activities for accountability, investigation, and problem detection; and encryption technologies like Transparent Data Encryption and Key Vault for securing data. Presenters Zahra Taghipoor kolaei and Seyyedeh Fatemeh Mousazadeh Mousavi led the discussion under Professor Dr. Sadegh Dorri Nogoorani during a winter 2022 class.
Con9573 managing the oim platform with oracle enterprise manager OracleIDM
The document discusses how Qualcomm implemented Oracle Enterprise Manager 12c to manage its Oracle Identity Management platform. Some key points:
- Qualcomm needed to provide high service levels for identity and access management (IAM) and databases, monitor SLAs, and improve compliance through role-based access.
- It implemented EM12c in a highly available configuration with disaster recovery to manage applications, middleware, IAM, and databases from a single console.
- Through dynamic groups and roles in EM12c, IAM administrators, network operators, and database administrators received restricted views of only their relevant targets while using a shared infrastructure.
- This streamlined operations and improved compliance by allowing different teams to manage incidents
Manufacturers have an abundance of data, whether from connected sensors, plant systems, manufacturing systems, claims systems and external data from industry and government. Manufacturers face increased challenges from continually improving product quality, reducing warranty and recall costs to efficiently leveraging their supply chain. For example, giving the manufacturer a complete view of the product and customer information integrating manufacturing and plant floor data, with as built product configurations with sensor data from customer use to efficiently analyze warranty claim information to reduce detection to correction time, detect fraud and even become proactive around issues requires a capable enterprise data hub that integrates large volumes of both structured and unstructured information. Learn how an enterprise data hub built on Hadoop provides the tools to support analysis at every level in the manufacturing organization.
Government Technology & Services Coalition & InfraGard NCR's Program: Cyber Security: Securing the Federal Cyber Domain by Strengthening Public-Private Partnership
Presentation: How do we Protect our Systems and Meet Compliance in a Rapidly Changing Environment
Presenter: David Knox, Vice President of National Security Solutions, Oracle
Description: With all the constant innovation in cyber, what is “cutting edge”? What constraints hinder innovation? How is technology being used to address the Executive Orders, comply to standards, and other meet other mandates? What areas still need resources, ideas and innovation? Join us to hear advances in cyber security technology and ways to protect and monitor systems that will provide for resilient infrastructures and incorporate new solutions.
This document describes a database security solution called ShieldDB developed by Protech Infosystems Pvt. Ltd. ShieldDB uses statistical methods to generate a digital fingerprint of databases and detects unauthorized modifications by comparing fingerprints over time. It aims to address issues like data theft, identity theft, and modification of critical data. The solution monitors databases without degrading performance and reports security breaches and identities through email/SMS.
This document describes a database security solution called ShieldDB developed by Protech Infosystems Pvt. Ltd. ShieldDB uses statistical methods to generate fingerprints of databases and detect unauthorized modifications by comparing fingerprints over time. It aims to address issues like data theft, identity theft, and modification of critical data. The solution monitors databases without degrading performance and reports security breaches and related details through email/SMS.
This document describes a database security solution called ShieldDB developed by Protech Infosystems Pvt. Ltd. ShieldDB uses statistical methods to generate a digital fingerprint of databases and detects unauthorized modifications by comparing fingerprints over time. It aims to address issues like data theft, integrity loss, and inadvertent mistakes. The solution monitors databases without degrading performance and reports security breaches with source and time details.
Understanding Database Encryption & Protecting Against the Insider Threat wit...MongoDB
The document discusses protecting databases from insider threats using MongoDB encryption. It describes how insider threats are on the rise and how privileged users can bypass traditional security to access sensitive data. The solution presented is using Vormetric transparent encryption to encrypt MongoDB databases, which applies encryption and access controls without changes to applications or the database. Key benefits include field-level encryption, blocking administrative users' access to raw data, and centralized key management on a separate device from encrypted data.
Microsoft Cloud GDPR Compliance Options (SUGUK)Andy Talbot
The presentation provides an overview of GDPR and how organizations can accelerate compliance using Microsoft cloud services. It discusses the key changes introduced by GDPR including enhanced personal privacy rights, increased duty to protect data, mandatory breach reporting, and significant penalties for non-compliance. It then outlines how Microsoft can help organizations discover, manage, protect, and report personal data through solutions like Azure, Office 365, and Enterprise Mobility + Security.
Extending Information Security to Non-Production EnvironmentsLindaWatson19
This paper discusses the threats that non-production environments pose to database security and provides practical advice and multiple options for ensuring data assets remain secure against unauthorized access.
Similar to Oracle Database 11g Security and Compliance Solutions - By Tom Kyte (20)
This document provides an overview and summary of new features in IBM SPSS Predictive Analytics and IBM Decision Optimization. It discusses how predictive analytics can help organizations in various industries and functional areas. Key new features highlighted include empowering every user, unlocking more data faster, ground to cloud deployment options, optional coding and open source integration, and making predictive analytics accessible everywhere. The document demonstrates how these solutions have provided quantified benefits to customers.
The document discusses Oracle Big Data Discovery, a product for exploring and analyzing big data stored in Hadoop. It allows users to find, explore, transform, discover and share insights from big data in a visual interface. Key features include an interactive data catalog, visualizing and exploring data attributes, powerful transformations and enrichments, composing data visualizations and projects, and collaboration tools. It aims to make data preparation only 20% of analytics projects so users can focus on analysis. The product runs natively on Hadoop clusters for scalability and integrates with the Hadoop ecosystem.
Ingres 10.2 provides enhancements for geospatial features, performance, system administration, and internationalization. It adds 50 new geospatial data types and per-query parallelism settings to improve performance. Simpler administration features include remote GCA and DBMS-level authentication, while internationalization is improved with UTF-8 transliteration. Ingres 10.2 also provides new SQL functions for analytics and network addressing capabilities.
The document summarizes the key benefits and features of Actian Matrix, a massively parallel processing database for analytics. It provides fast analytics up to 100x faster than traditional systems, massive scalability to analyze unlimited amounts of data, and business agility to customize applications quickly. Its columnar database structure, adaptive compression, dynamic compilation and in-memory analytics deliver unrivaled performance and scalability for big data initiatives.
Actian Matrix is a high performance relational database management system designed for analytics processing. It uses a massively parallel processing (MPP) architecture with columnar data storage to optimize for analytic queries. Key features include performance optimizations like query compilation, compression, and a cost-based query optimizer. It also provides high availability, simplicity of use, and scalability.
Actian Vector is a high performance analytics database that exploits modern CPU features like SIMD instructions to process large volumes of data much faster than traditional databases. It uses CPU caches rather than RAM for execution memory and avoids overhead by processing vectors of data at once. Actian Vector also leverages industry best practices like columnar storage and compression to optimize input/output and further improve performance for data warehouse workloads. Its unique ability to fully utilize CPU features allows it to run workloads on a single server that would require multiple servers on other databases.
This document provides an overview of the Actian DataFlow software. It discusses how Hadoop holds promise for large-scale data analytics but has limitations around performance speed, skill requirements, and incorporating other data sources. Actian DataFlow addresses these challenges by automatically optimizing workloads for high performance on Hadoop through a scale up/out architecture and pipeline/data parallelism. It also enables joining data from multiple sources and shortens analytics project timelines through its visual interface and optimization of the data preparation and analysis process.
This document discusses the four pillars of analytics technology speed: development and discovery speed, data processing speed, deployment speed, and response speed. It provides examples of how each type of speed can impact business value. Development and discovery speed refers to how quickly analytics projects can be built and iterated on. Data processing speed is the ability to analyze large amounts of data quickly. Deployment speed is getting analytics solutions into production quickly. Response speed is delivering insights in real-time. The document argues that an effective analytics platform needs to provide speed across all four pillars.
Actian is a $140M revenue company with 10,000+ customers that provides big data and analytics solutions. One of its key products is Actian Vector in Hadoop, which provides SQL analytics on Hadoop up to 30x faster than Impala. Vector uses single instruction, multiple data processing and storage indexes to minimize I/O and maximize throughput. It also supports trickle updates without impacting read performance through positional delta trees.
This document provides an overview of a roundtable discussion on real-time analytics with Hadoop. It discusses the requirements for real-time data, applications, and queries. For real-time data, logs and operational data need to be written directly into the cluster. For applications, operational applications need to run in the cluster to avoid delays. For queries, analysts need to query data as soon as it lands without waiting. It also discusses how MapR addresses these requirements through features like NFS access, low-latency database access, and table replication. The presentation concludes with a discussion of ensuring security, reliability, and other enterprise capabilities for real-time analytics.
This document discusses why SQL has endured as the dominant language for data analysis for over 40 years. SQL provides a powerful yet simple framework for querying data through its use of relational algebra concepts like projection, filtering, joining, and aggregation. It also allows for transparent optimization by the database as SQL is declarative rather than procedural. Additionally, SQL has continuously evolved through standards while providing access to a wide variety of data sources.
This document summarizes the results of a survey of 298 data management professionals about big data challenges and opportunities. It finds that big data is now present in all organizations, with 11% managing over a petabyte and another 20% having hundreds of terabytes. While bigger companies are dealing with more data currently, most companies will soon have petabyte-sized stores. However, the business does not fully understand big data's potential value yet. Capitalizing on big data does not require replacing existing infrastructure but integrating it. The survey also finds that relational databases and Hadoop are both important technologies for managing big data now and in the future.
The document discusses best practices for gathering statistics in Oracle databases. It covers how to gather statistics using the DBMS_STATS package, additional types of statistics like column groups and expression statistics, when to gather statistics such as after data loads, and how to improve statistics gathering performance using parallel execution and incremental gathering for partitioned tables.
Best Practices – Extreme Performance with Data Warehousing on Oracle Databa...Edgar Alejandro Villegas
The document discusses best practices for data warehousing performance on Oracle Database. It covers Oracle Exadata Database Machine capabilities like intelligent storage, hybrid columnar compression, and smart flash cache. It also discusses partitioning, parallelism, monitoring tools, and data loading techniques to maximize warehouse performance.
This document discusses how Oracle Data Integrator 12c (ODI12c) can bridge the gap between big data and enterprise data. It allows users to integrate both types of data through a single unified tool. Key features include application adapters for Hadoop that enable native Hadoop integration, loading and transforming of big data, and integrated platforms and real-time analytics to simplify, optimize, and extend the value of big data.
Fast and Easy Analytics: - Tableau - Data Base Trends - Dbt06122013slidesEdgar Alejandro Villegas
The document discusses how big data analytics are becoming more accessible and easier to use for non-experts. It outlines several trends that are making analytics more pervasive, like self-service BI tools, automated decision making, mobile apps, and analytic clouds. These trends are breaking down barriers and allowing more users at various levels to access and make sense of big data. However, expertise will still be needed to grasp big data concepts and communicate findings. The document advocates for collaborating early in projects and focusing on solving specific business problems with big data rather than viewing it as large, complex initiatives.
Bitglass Data Breach Discovery analyzes firewall or proxy logs to identify risky outbound data flows and traffic leaving a network for suspect destinations. It assigns risk scores to this traffic and provides easy to read reports on data breach risks. As a SaaS product, it requires no software installation and simply uploads log files for analytics and breach risk reporting. It aims to discover data breaches by identifying exfiltration of sensitive data to high-risk external locations.
The document discusses Gartner's "Four Pillars of Business Analytics" framework, which identifies data, people, process, and technology as key pillars for business analytics applications. It describes each pillar and how they relate to understanding application needs and designing analytics applications. The four pillars can help ensure applications inform, connect, and motivate end users. The document also explains how Actuate's BIRT platform is well-suited for high-user, high-volume analytic applications.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).