#sybase

[waybackwanderer]

Sybase, Inc. Apr 1997 Archived Web Page

[intellimindzblog]

Roots of Data: Cultivating Efficiency with Sybase

Sybase, now part of SAP, is a relational database management system (RDBMS) known for its high performance and reliability in managing large volumes of data. It is widely used in various industries for mission-critical applications and offers a range of features that support efficient data management.

Key Features of Sybase:

High Performance: Sybase is designed for speed and efficiency, making it suitable for transaction-heavy environments. Its optimized architecture supports quick data retrieval and processing.

Scalability: It can handle growing data volumes and increasing user loads, making it an ideal choice for enterprises that anticipate growth or fluctuating demands.

Data Replication: Offers robust data replication capabilities, enabling organizations to maintain consistency across multiple databases and support disaster recovery strategies.

Advanced Security: Provides features such as encryption, access controls, and auditing to ensure data security and compliance with regulatory requirements.

Integration Capabilities: Easily integrates with various applications and platforms, allowing organizations to create a cohesive data ecosystem.

Support for Analytics: Sybase supports advanced analytics and reporting tools, helping organizations derive valuable insights from their data.

Benefits of Sybase:

Reliability: Known for its stability, Sybase ensures minimal downtime, which is crucial for businesses that rely on constant data availability.

Cost-Effectiveness: Offers a competitive pricing model, making it an attractive option for organizations looking for powerful database solutions without high costs.

Flexibility: Supports various data types and structures, enabling organizations to tailor their database solutions to specific needs.

By leveraging Sybase, organizations can enhance their data management capabilities, improve operational efficiency, and make informed decisions based on reliable data insights.

[ralantech2]

RalanTech: Expert Sybase Remote DBA Support

https://www.pearltrees.com/ralantech2/item586045736 Gain peace of mind with RalanTech's specialized Sybase Remote DBA Support. Our experienced team ensures optimal performance, reliability, and security for your Sybase databases, allowing you to focus on your core business activities.

[ralantechinnovate]

Seamless Cross Database Migration with RalanTech

In today's rapidly evolving digital landscape, businesses must ensure their data management systems are both efficient and adaptable. Cross database migration has become a critical strategy for organizations aiming to upgrade their infrastructure, enhance performance, and reduce costs. RalanTech stands out as a leader in this domain, offering affordable database migration services and expert consulting to facilitate smooth transitions.

Understanding Cross Database Migration

Cross database migration involves transferring data between different database management systems (DBMS), such as moving from Oracle to PostgreSQL or from Sybase to SQL Server. This process is essential for organizations seeking to modernize their systems, improve scalability, or integrate new technologies. However, it requires meticulous planning and execution to maintain data integrity and minimize downtime.

The Importance of Affordable Database Migration Services

Cost is a significant consideration in any migration project. Affordable database migration services ensure that businesses of all sizes can access the benefits of modern DBMS without prohibitive expenses. RalanTech offers cost-effective solutions tailored to meet specific business needs, ensuring a high return on investment.​

RalanTech's Expertise in Database Migration Consulting

With a team of seasoned professionals, RalanTech provides comprehensive database migration consulting services. Their approach includes assessing current systems, planning strategic migrations, and executing transitions with minimal disruption. By leveraging their expertise, businesses can navigate the complexities of migration confidently.​

Why Choose RalanTech for Your Migration Needs?

Proven Track Record

RalanTech has successfully completed over 295 projects, demonstrating their capability and reliability in handling complex migration tasks.

Customized Solutions

Understanding that each business has unique requirements, RalanTech offers tailored migration strategies that align with specific goals and operational needs.

Comprehensive Support

From initial assessment to post-migration support, RalanTech ensures continuous assistance, addressing any challenges that arise during the migration process.

The Migration Process: A Step-by-Step Overview

Assessment and Planning: Evaluating the existing database environment to identify potential risks and develop a strategic migration plan.​

Data Mapping and Extraction: Ensuring data compatibility and accurately extracting data from the source system.​

Data Transformation and Loading: Converting data to fit the target system's structure and loading it efficiently.​

Testing and Validation: Conducting thorough tests to verify data integrity and system functionality.​

Deployment and Optimization: Implementing the new system and optimizing performance for seamless operation.​

Post-Migration Support: Providing ongoing assistance to address any post-migration issues and ensure system stability.​

Ensuring Data Integrity and Security

Maintaining data integrity and security is paramount during migration. RalanTech employs robust protocols to protect sensitive information and ensure compliance with industry standards.

Minimizing Downtime and Disruption

Understanding the importance of business continuity, RalanTech designs migration strategies that minimize downtime and operational disruption, allowing businesses to maintain productivity throughout the transition.

Scalability and Future-Proofing Your Database

RalanTech's migration solutions are designed with scalability in mind, enabling businesses to accommodate future growth and technological advancements seamlessly.

Leveraging Cloud Technologies

Migrating databases to the cloud offers enhanced flexibility and cost savings. RalanTech specializes in cloud migrations, facilitating transitions to platforms like AWS, Azure, and Google Cloud.

Industry-Specific Migration Solutions

RalanTech tailors its migration services to meet the unique demands of various industries, including healthcare, finance, and manufacturing, ensuring compliance and optimized performance.

Training and Empowering Your Team

Beyond technical migration, RalanTech offers training to internal teams, empowering them to manage and optimize the new database systems effectively.

Measuring Success: Post-Migration Metrics

RalanTech emphasizes the importance of post-migration evaluation, utilizing key performance indicators to assess the success of the migration and identify areas for further optimization. ​

Continuous Improvement and Support

Committed to long-term client success, RalanTech provides ongoing support and continuous improvement strategies to adapt to evolving business needs and technological landscapes.

[fromdevcom]

Java Database Connectivity API contains commonly asked Java interview questions. A good understanding of JDBC API is required to understand and leverage many powerful features of Java technology. Here are few important practical questions and answers which can be asked in a Core Java JDBC interview. Most of the java developers are required to use JDBC API in some type of application. Though its really common, not many people understand the real depth of this powerful java API. Dozens of relational databases are seamlessly connected using java due to the simplicity of this API. To name a few Oracle, MySQL, Postgres and MS SQL are some popular ones. This article is going to cover a lot of general questions and some of the really in-depth ones to. Java Interview Preparation Tips Part 0: Things You Must Know For a Java Interview Part 1: Core Java Interview Questions Part 2: JDBC Interview Questions Part 3: Collections Framework Interview Questions Part 4: Threading Interview Questions Part 5: Serialization Interview Questions Part 6: Classpath Related Questions Part 7: Java Architect Scalability Questions What are available drivers in JDBC? JDBC technology drivers fit into one of four categories: A JDBC-ODBC bridge provides JDBC API access via one or more ODBC drivers. Note that some ODBC native code and in many cases native database client code must be loaded on each client machine that uses this type of driver. Hence, this kind of driver is generally most appropriate when automatic installation and downloading of a Java technology application is not important. A native-API partly Java technology-enabled driver converts JDBC calls into calls on the client API for Oracle, Sybase, Informix, DB2, or other DBMS. Note that, like the bridge driver, this style of driver requires that some binary code be loaded on each client machine. A net-protocol fully Java technology-enabled driver translates JDBC API calls into a DBMS-independent net protocol which is then translated to a DBMS protocol by a server. This net server middleware is able to connect all of its Java technology-based clients to many different databases. The specific protocol used depends on the vendor. In general, this is the most flexible JDBC API alternative. It is likely that all vendors of this solution will provide products suitable for Intranet use. In order for these products to also support Internet access they must handle the additional requirements for security, access through firewalls, etc., that the Web imposes. Several vendors are adding JDBC technology-based drivers to their existing database middleware products. A native-protocol fully Java technology-enabled driver converts JDBC technology calls into the network protocol used by DBMSs directly. This allows a direct call from the client machine to the DBMS server and is a practical solution for Intranet access. Since many of these protocols are proprietary the database vendors themselves will be the primary source for this style of driver. Several database vendors have these in progress. What are the types of statements in JDBC? the JDBC API has 3 Interfaces, (1. Statement, 2. PreparedStatement, 3. CallableStatement ). The key features of these are as follows: Statement This interface is used for executing a static SQL statement and returning the results it produces. The object of Statement class can be created using Connection.createStatement() method. PreparedStatement A SQL statement is pre-compiled and stored in a PreparedStatement object. This object can then be used to efficiently execute this statement multiple times. The object of PreparedStatement class can be created using Connection.prepareStatement() method. This extends Statement interface. CallableStatement This interface is used to execute SQL stored procedures. This extends PreparedStatement interface. The object of CallableStatement class can be created using Connection.prepareCall() method.

What is a stored procedure? How to call stored procedure using JDBC API? Stored procedure is a group of SQL statements that forms a logical unit and performs a particular task. Stored Procedures are used to encapsulate a set of operations or queries to execute on database. Stored procedures can be compiled and executed with different parameters and results and may have any combination of input/output parameters. Stored procedures can be called using CallableStatement class in JDBC API. Below code snippet shows how this can be achieved. CallableStatement cs = con.prepareCall("call MY_STORED_PROC_NAME"); ResultSet rs = cs.executeQuery(); What is Connection pooling? What are the advantages of using a connection pool? Connection Pooling is a technique used for sharing the server resources among requested clients. It was pioneered by database vendors to allow multiple clients to share a cached set of connection objects that provides access to a database. Getting connection and disconnecting are costly operation, which affects the application performance, so we should avoid creating multiple connection during multiple database interactions. A pool contains set of Database connections which are already connected, and any client who wants to use it can take it from pool and when done with using it can be returned back to the pool. Apart from performance this also saves you resources as there may be limited database connections available for your application. How to do database connection using JDBC thin driver ? This is one of the most commonly asked questions from JDBC fundamentals, and knowing all the steps of JDBC connection is important. import java.sql.*; class JDBCTest public static void main (String args []) throws Exception //Load driver class Class.forName ("oracle.jdbc.driver.OracleDriver"); //Create connection Connection conn = DriverManager.getConnection ("jdbc:oracle:thin:@hostname:1526:testdb", "scott", "tiger"); // @machineName:port:SID, userid, password Statement stmt = conn.createStatement(); ResultSet rs = stmt.executeQuery("select 'Hi' from dual"); while (rs.next()) System.out.println (rs.getString(1)); // Print col 1 => Hi stmt.close(); What does Class.forName() method do? Method forName() is a static method of java.lang.Class. This can be used to dynamically load a class at run-time. Class.forName() loads the class if its not already loaded. It also executes the static block of loaded class. Then this method returns an instance of the loaded class. So a call to Class.forName('MyClass') is going to do following - Load the class MyClass. - Execute any static block code of MyClass. - Return an instance of MyClass. JDBC Driver loading using Class.forName is a good example of best use of this method. The driver loading is done like this Class.forName("org.mysql.Driver"); All JDBC Drivers have a static block that registers itself with DriverManager and DriverManager has static initializer method registerDriver() which can be called in a static blocks of Driver class. A MySQL JDBC Driver has a static initializer which looks like this: static try java.sql.DriverManager.registerDriver(new Driver()); catch (SQLException E) throw new RuntimeException("Can't register driver!"); Class.forName() loads driver class and executes the static block and the Driver registers itself with the DriverManager. Which one will you use Statement or PreparedStatement? Or Which one to use when (Statement/PreparedStatement)? Compare PreparedStatement vs Statement. By Java API definitions: Statement is a object used for executing a static SQL statement and returning the results it produces. PreparedStatement is a SQL statement which is precompiled and stored in a PreparedStatement object. This object can then be used to efficiently execute this statement multiple times. There are few advantages of using PreparedStatements over Statements

Since its pre-compiled, Executing the same query multiple times in loop, binding different parameter values each time is faster. (What does pre-compiled statement means? The prepared statement(pre-compiled) concept is not specific to Java, it is a database concept. Statement precompiling means: when you execute a SQL query, database server will prepare a execution plan before executing the actual query, this execution plan will be cached at database server for further execution.) In PreparedStatement the setDate()/setString() methods can be used to escape dates and strings properly, in a database-independent way. SQL injection attacks on a system are virtually impossible when using PreparedStatements. What does setAutoCommit(false) do? A JDBC connection is created in auto-commit mode by default. This means that each individual SQL statement is treated as a transaction and will be automatically committed as soon as it is executed. If you require two or more statements to be grouped into a transaction then you need to disable auto-commit mode using below command con.setAutoCommit(false); Once auto-commit mode is disabled, no SQL statements will be committed until you explicitly call the commit method. A Simple transaction with use of autocommit flag is demonstrated below. con.setAutoCommit(false); PreparedStatement updateStmt = con.prepareStatement( "UPDATE EMPLOYEE SET SALARY = ? WHERE EMP_NAME LIKE ?"); updateStmt.setInt(1, 5000); updateSales.setString(2, "Jack"); updateStmt.executeUpdate(); updateStmt.setInt(1, 6000); updateSales.setString(2, "Tom"); updateStmt.executeUpdate(); con.commit(); con.setAutoCommit(true); What are database warnings and How can I handle database warnings in JDBC? Warnings are issued by database to notify user of a problem which may not be very severe. Database warnings do not stop the execution of SQL statements. In JDBC SQLWarning is an exception that provides information on database access warnings. Warnings are silently chained to the object whose method caused it to be reported. Warnings may be retrieved from Connection, Statement, and ResultSet objects. Handling SQLWarning from connection object //Retrieving warning from connection object SQLWarning warning = conn.getWarnings(); //Retrieving next warning from warning object itself SQLWarning nextWarning = warning.getNextWarning(); //Clear all warnings reported for this Connection object. conn.clearWarnings(); Handling SQLWarning from Statement object //Retrieving warning from statement object stmt.getWarnings(); //Retrieving next warning from warning object itself SQLWarning nextWarning = warning.getNextWarning(); //Clear all warnings reported for this Statement object. stmt.clearWarnings(); Handling SQLWarning from ResultSet object //Retrieving warning from resultset object rs.getWarnings(); //Retrieving next warning from warning object itself SQLWarning nextWarning = warning.getNextWarning(); //Clear all warnings reported for this resultset object. rs.clearWarnings(); The call to getWarnings() method in any of above way retrieves the first warning reported by calls on this object. If there is more than one warning, subsequent warnings will be chained to the first one and can be retrieved by calling the method SQLWarning.getNextWarning on the warning that was retrieved previously. A call to clearWarnings() method clears all warnings reported for this object. After a call to this method, the method getWarnings returns null until a new warning is reported for this object. Trying to call getWarning() on a connection after it has been closed will cause an SQLException to be thrown. Similarly, trying to retrieve a warning on a statement after it has been closed or on a result set after it has been closed will cause an SQLException to be thrown. Note that closing a statement also closes a result set that it might have produced. What is Metadata and why should I use it?

JDBC API has 2 Metadata interfaces DatabaseMetaData & ResultSetMetaData. The DatabaseMetaData provides Comprehensive information about the database as a whole. This interface is implemented by driver vendors to let users know the capabilities of a Database Management System (DBMS) in combination with the driver based on JDBC technology ("JDBC driver") that is used with it. Below is a sample code which demonstrates how we can use the DatabaseMetaData DatabaseMetaData md = conn.getMetaData(); System.out.println("Database Name: " + md.getDatabaseProductName()); System.out.println("Database Version: " + md.getDatabaseProductVersion()); System.out.println("Driver Name: " + md.getDriverName()); System.out.println("Driver Version: " + md.getDriverVersion()); The ResultSetMetaData is an object that can be used to get information about the types and properties of the columns in a ResultSet object. Use DatabaseMetaData to find information about your database, such as its capabilities and structure. Use ResultSetMetaData to find information about the results of an SQL query, such as size and types of columns. Below a sample code which demonstrates how we can use the ResultSetMetaData ResultSet rs = stmt.executeQuery("SELECT a, b, c FROM TABLE2"); ResultSetMetaData rsmd = rs.getMetaData(); int numberOfColumns = rsmd.getColumnCount(); boolean b = rsmd.isSearchable(1); What is RowSet? or What is the difference between RowSet and ResultSet? or Why do we need RowSet? or What are the advantages of using RowSet over ResultSet? RowSet is a interface that adds support to the JDBC API for the JavaBeans component model. A rowset, which can be used as a JavaBeans component in a visual Bean development environment, can be created and configured at design time and executed at run time. The RowSet interface provides a set of JavaBeans properties that allow a RowSet instance to be configured to connect to a JDBC data source and read some data from the data source. A group of setter methods (setInt, setBytes, setString, and so on) provide a way to pass input parameters to a rowset's command property. This command is the SQL query the rowset uses when it gets its data from a relational database, which is generally the case. Rowsets are easy to use since the RowSet interface extends the standard java.sql.ResultSet interface so it has all the methods of ResultSet. There are two clear advantages of using RowSet over ResultSet RowSet makes it possible to use the ResultSet object as a JavaBeans component. As a consequence, a result set can, for example, be a component in a Swing application. RowSet be used to make a ResultSet object scrollable and updatable. All RowSet objects are by default scrollable and updatable. If the driver and database being used do not support scrolling and/or updating of result sets, an application can populate a RowSet object implementation (e.g. JdbcRowSet) with the data of a ResultSet object and then operate on the RowSet object as if it were the ResultSet object. What is a connected RowSet? or What is the difference between connected RowSet and disconnected RowSet? or Connected vs Disconnected RowSet, which one should I use and when? Connected RowSet A RowSet object may make a connection with a data source and maintain that connection throughout its life cycle, in which case it is called a connected rowset. A rowset may also make a connection with a data source, get data from it, and then close the connection. Such a rowset is called a disconnected rowset. A disconnected rowset may make changes to its data while it is disconnected and then send the changes back to the original source of the data, but it must reestablish a connection to do so. Example of Connected RowSet: A JdbcRowSet object is a example of connected RowSet, which means it continually maintains its connection to a database using a JDBC technology-enabled driver. Disconnected RowSet A disconnected rowset may have a reader (a RowSetReader object) and a writer (a RowSetWriter object) associated with it.

The reader may be implemented in many different ways to populate a rowset with data, including getting data from a non-relational data source. The writer can also be implemented in many different ways to propagate changes made to the rowset's data back to the underlying data source. Example of Disconnected RowSet: A CachedRowSet object is a example of disconnected rowset, which means that it makes use of a connection to its data source only briefly. It connects to its data source while it is reading data to populate itself with rows and again while it is propagating changes back to its underlying data source. The rest of the time, a CachedRowSet object is disconnected, including while its data is being modified. Being disconnected makes a RowSet object much leaner and therefore much easier to pass to another component. For example, a disconnected RowSet object can be serialized and passed over the wire to a thin client such as a personal digital assistant (PDA). What is the benefit of having JdbcRowSet implementation? Why do we need a JdbcRowSet like wrapper around ResultSet? The JdbcRowSet implementation is a wrapper around a ResultSet object that has following advantages over ResultSet This implementation makes it possible to use the ResultSet object as a JavaBeans component. A JdbcRowSet can be used as a JavaBeans component in a visual Bean development environment, can be created and configured at design time and executed at run time. It can be used to make a ResultSet object scrollable and updatable. All RowSet objects are by default scrollable and updatable. If the driver and database being used do not support scrolling and/or updating of result sets, an application can populate a JdbcRowSet object with the data of a ResultSet object and then operate on the JdbcRowSet object as if it were the ResultSet object. Can you think of a questions which is not part of this post? Please don't forget to share it with me in comments section & I will try to include it in the list.

[aitoolswhitehattoolbox]

Java Lead Developer

Job Description Infosys is seeking a Java Lead Developer. This position’s primary responsibility will be to translate… and analysis in Core Java, J2EE, Spring, any RDBMS (Oracle/Sybase/DB2/SQL Server/Postgresql). Working knowledge of Unix/Linux… Apply Now

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sybase

[jcmarchi]

Babak Hodjat, CTO of AI at Cognizant – Interview Series

New Post has been published on https://thedigitalinsider.com/babak-hodjat-cto-of-ai-at-cognizant-interview-series/

Babak Hodjat, CTO of AI at Cognizant – Interview Series

Babak Hodjat is Vice President of Evolutionary AI at Cognizant, and former co-founder and CEO of Sentient. He is responsible for the core technology behind the world’s largest distributed artificial intelligence system. Babak was also the founder of the world’s first AI-driven hedge fund, Sentient Investment Management. He is a serial entrepreneur, having started a number of Silicon Valley companies as main inventor and technologist.

Prior to co-founding Sentient, Babak was senior director of engineering at Sybase iAnywhere, where he led mobile solutions engineering. He was also co-founder, CTO and board member of Dejima Inc. Babak is the primary inventor of Dejima’s patented, agent-oriented technology applied to intelligent interfaces for mobile and enterprise computing – the technology behind Apple’s Siri.

A published scholar in the fields of artificial life, agent-oriented software engineering and distributed artificial intelligence, Babak has 31 granted or pending patents to his name. He is an expert in numerous fields of AI, including natural language processing, machine learning, genetic algorithms and distributed AI and has founded multiple companies in these areas. Babak holds a Ph.D. in machine intelligence from Kyushu University, in Fukuoka, Japan.

Looking back at your career, from founding multiple AI-driven companies to leading Cognizant’s AI Lab, what are the most important lessons you’ve learned about innovation and leadership in AI?

Innovation needs patience, investment, and nurturing, and it should be fostered and unrestricted. If you’ve built the right team of innovators, you can trust them and give them full artistic freedom to choose how and what they research. The results will often amaze you. From a leadership perspective, research and innovation should not be a nice-to-have or an afterthought. I’ve set up research teams pretty early on when building start-ups and have always been a strong advocate of research investment, and it has paid off. In good times, research keeps you ahead of competition, and in bad times, it helps you diversify and survive, so there is no excuse for underinvesting, restricting or overburdening it with short-term business priorities.

As one of the primary inventors of Apple’s Siri, how has your experience with developing intelligent interfaces shaped your approach to leading AI initiatives at Cognizant?

The natural language technology I originally developed for Siri was agent-based, so I have been working with the concept for a long time. AI wasn’t as powerful in the ’90s, so I used a multi-agent system to tackle understanding and mapping of natural language commands to actions. Each agent represented a small subset of the domain of discourse, so the AI in each agent had a simple environment to master. Today, AI systems are powerful, and one LLM can do many things, but we still benefit by treating it as a knowledge worker in a box, restricting its domain, giving it a job description and linking it to other agents with different responsibilities. The AI is thus able to augment and improve any business workflow.

As part of my remit as CTO of AI at Cognizant, I run our Advanced AI Lab in San Francisco. Our core research principle is agent-based decision-making. As of today, we currently have 56 U.S. patents on core AI technology based on that principle. We’re all in.

Could you elaborate on the cutting-edge research and innovations currently being developed at Cognizant’s AI Lab? How are these developments addressing the specific needs of Fortune 500 companies?

We have several AI studios and innovation centers. Our Advanced AI Lab in San Francisco focuses on extending the state of the art in AI. This is part of our commitment announced last year to invest $1 billion in generative AI over the next three years.

More specifically, we’re focused on developing new algorithms and technologies to serve our clients. Trust, explainability and multi-objective decisions are among the important areas we’re pursuing that are vital for Fortune 500 enterprises.

Around trust, we’re interested in research and development that deepens our understanding of when we can trust AI’s decision-making enough to defer to it, and when a human should get involved. We have several patents related to this type of uncertainty modeling. Similarly, neural networks, generative AI and LLMs are inherently opaque. We want to be able to evaluate an AI decision and ask it questions about why it recommended something – essentially making it explainable. Finally, we understand that sometimes, decisions companies want to be able to make have more than one outcome objective—cost reduction while increasing revenues balanced with ethical considerations, for example. AI can help us achieve the best balance of all of these outcomes by optimizing decision strategies in a multi-objective manner. This is another very important area in our AI research.

The next two years are considered critical for generative AI. What do you believe will be the pivotal changes in this period, and how should enterprises prepare?

We’re heading into an explosive period for the commercialization of AI technologies. Today, AI’s primary uses are improving productivity, creating better natural language-driven user interfaces, summarizing data and helping with coding. During this acceleration period, we believe that organizing overall technology and AI strategies around the core tenet of multi-agent systems and decision-making will best enable enterprises to succeed. At Cognizant, our emphasis on innovation and applied research will help our clients leverage AI to increase strategic advantage as it becomes further integrated into business processes.

How will Generative AI reshape industries, and what are the most exciting use cases emerging from Cognizant’s AI Lab?

Generative AI has been a huge step forward for businesses. You now have the ability to create a series of knowledge workers that can assist humans in their day-to-day work. Whether it’s streamlining customer service through intelligent chatbots or managing warehouse inventory through a natural language interface, LLMs are very good at specialized tasks.

But what comes next is what will truly reshape industries, as agents get the ability to communicate with each other. The future will be about companies having agents in their devices and applications that can address your needs and interact with other agents on your behalf. They will work across entire businesses to assist humans in every role, from HR and finance to marketing and sales. In the near future, businesses will gravitate naturally towards becoming agent-based.

Notably, we already have a multi-agent system that was developed in our lab in the form of Neuro AI, an AI use case generator that allows clients to rapidly build and prototype AI decisioning use cases for their business. It is already delivering some exciting results, and we’ll be sharing more on this soon.

What role will multi-agent architectures play in the next wave of Gen AI transformation, particularly in large-scale enterprise environments?

In our research and conversations with corporate leaders, we’re getting more and more questions about how they can make Generative AI impactful at scale. We believe the transformative promise of multi-agent artificial intelligence systems is central to achieving that impact. A multi-agent AI system brings together AI agents built into software systems in various areas across the enterprise. Think of it as a system of systems that allows LLMs to interact with one another. Today, the challenge is that, even though business objectives, activities, and metrics are deeply interwoven, the software systems used by disparate teams are not, creating problems. For example, supply chain delays can affect distribution center staffing. Onboarding a new vendor can impact Scope 3 emissions. Customer turnover could indicate product deficiencies. Siloed systems mean actions are often based on insights drawn from merely one program and applied to one function. Multi-agent architectures will light up insights and integrated action across the business. That’s real power that can catalyze enterprise transformation.

In what ways do you see multi-agent systems (MAS) evolving in the next few years, and how will this impact the broader AI landscape?

A multi-agent AI system functions as a virtual working group, analyzing prompts and drawing information from across the business to produce a comprehensive solution not just for the original requestor, but for other teams as well. If we zoom in and look at a particular industry, this could revolutionize operations in areas like manufacturing, for example. A Sourcing Agent would analyze existing processes and recommend more cost-effective alternative components based on seasons and demand. This Sourcing Agent would then connect with a Sustainability Agent to determine how the change would impact environmental goals. Finally, a Regulatory Agent would oversee compliance activity, ensuring teams submit complete, up-to-date reports on time.

The good news is many companies have already begun to organically integrate LLM-powered chatbots, but they need to be intentional about how they start to connect these interfaces. Care must be taken as to the granularity of agentification, the types of LLMs being used, and when and how to fine-tune them to make them effective. Organizations should start from the top, consider their needs and goals, and work down from there to decide what can be agentified.

What are the main challenges holding enterprises back from fully embracing AI, and how does Cognizant address these obstacles?

Despite leadership’s backing and investment, many enterprises fear falling behind on AI. According to our research, there’s a gap between leaders’ strategic commitment and the confidence to execute well. Cost and availability of talent and the perceived immaturity of current Gen AI solutions are two significant inhibitors holding enterprises back from fully embracing AI.

Cognizant plays an integral role helping enterprises traverse the AI productivity-to-growth journey. In fact, recent data from a study we conducted with Oxford Economics points to the need for outside expertise to help with AI adoption, with 43% of companies indicating they plan to work with external consultants to develop a plan for generative AI. Traditionally, Cognizant has owned the last mile with clients – we did this with data storage and cloud migration, and agentification will be no different. This is work that must be highly customized. It’s not a one size fits all journey. We’re the experts who can help identify the business goals and implementation plan, and then bring in the right custom-built agents to address business needs. We are, and have always been, the people to call.

Many companies struggle to see immediate ROI from their AI investments. What common mistakes do they make, and how can these be avoided?

Generative AI is far more effective when companies bring it into their own data context—that is to say, customize it on their own strong foundation of enterprise data. Also, sooner or later, enterprises will have to take the challenging step to reimagine their fundamental business processes. Today, many companies are using AI to automate and improve existing processes. Bigger results can happen when they start to ask questions like, what are the constituents of this process, how do I change them, and prepare for the emergence of something that doesn’t exist yet? Yes, this will necessitate a culture change and accepting some risk, but it seems inevitable when orchestrating the many parts of the organization into one powerful whole.

What advice would you give to emerging AI leaders who are looking to make a significant impact in the field, especially within large enterprises?

Business transformation is complex by nature. Emerging AI leaders within larger enterprises should focus on breaking down processes, experimenting with changes, and innovating. This requires a shift in mindset and calculated risks, but it can create a more powerful organization.

Thank you for the great interview, readers who wish to learn more should visit Cognizant.

[fractallion]

They stole the Sybase logo..

[intellimindzblog]

Navigating Sybase: Your Guide to Efficient Data Management

Sybase is designed for database professionals, developers, and analysts seeking to enhance their expertise in Sybase, one of the leading relational database management systems.

In this training, you will:

Understand Sybase Architecture: Explore the core components of Sybase, including its database structures and how they interact with applications.

Learn Data Management Best Practices: Discover techniques for efficient data storage, retrieval, and manipulation, ensuring optimal performance.

Optimize Queries and Performance: Gain insights into writing efficient SQL queries and using performance tuning tools to enhance database efficiency.

Implement Security Measures: Understand the importance of data security and learn how to implement robust security protocols to protect sensitive information.

Utilize Sybase for Business Intelligence: Learn how to leverage Sybase tools for analytics and reporting, turning raw data into actionable insights.

Through hands-on exercises, real-world examples, and interactive discussions, you will develop practical skills that can be applied immediately in your organization. Whether you’re new to Sybase or looking to deepen your knowledge, this training will empower you to manage data effectively and make informed decisions.

Elevate your database management skills and unlock the full potential of Sybase.

[edchart]

SAP Sybase certification: Master Sybase's ASE & IQ with Free Test

Unlock your potential by earning an Edchart certification. Become an international leader in your field

In the highly competitive environment of today, it is important to remain on top of your field by making sure you are constantly learning and validating your expertise. Edchart's comprehensive certification programs as the leader in online certificate providers across the globe give professionals the opportunity to showcase their expertise and showcase their skills. By investing in Edchart's certifications, you can help you achieve success.

Description of Edchart Certification

Edchart SAP Sybase developer believes in empowering people by recognizing and enhancing their skills in the world of. The SAP Sybase program is a comprehensive set of topics from technology and business, to financial and healthcare. Each SAP certificate is designed by industry experts in order to ensure relevancy and effectiveness within today's dynamic world.

EdChart certified SAP Sybase developer

Benefits

Credibility Certificates of Competence Edchart and SAP certifications that are accepted worldwide by clients and employers, prove to them that you possess the qualifications and expertise needed.

Convenience Through our online platform, you are able to learn and pass exams from anywhere around the globe. Additionally, you will be Sybase certified no matter where you are.

Flexibility: Choose from a variety of certification programs that are tailored to your career objectives and preferences, and tailor your education journey to suit.

Career growth: EDchart IQ and SAP ASE certifications can open up doors to you, regardless of whether your goal is to move higher in the organization or to switch careers.

Join an international community of SAP Sybase® Certification experts and grow your connections. This will enable you to discover new information and make connections that can boost your career.

Features and Scope of Edchart Certification

The Edchart IQ and SAP ASE certifications were created to meet the evolving requirements of industries and employers. We have characteristics that help us different from the rest:

Complete Curriculum Our SASE Certification programs cover the latest technology, trends as well as best practices and advances in each of the respective areas, making sure you are current with the latest information.

Interactive Learning: Participate in interactive study materials, mock exams, and case studies that build your understanding and abilities.

Expert Guideline: Take advantage of guidance and assistance from industry specialists as well as SAS Sybase Developer qualified trainers, all through your SA Sybase Development certification journey.

Continuous Assessment Stay on track by completing regular assessments and receiving feedback to track your progress and work on any areas of improvement.

Global Recognition Sybase AS Edchart Certifications are accepted by top organizations around the world, and provide you with a competitive edge in the global job market.

Why should you get Edchart certified?

Investing in an SAP Sybase certification is more than just earning a certification. It's an important decision to secure your career in the future:

Stay current: Keeping up with the most recent trends is vital in industries that are constantly changing. Edchart's certifications ensure you are equipped with the latest abilities and know-how.

Be Different When numerous professionals compete for the same job opportunities, having Edchart with a SAP Sybase Development certification will allow you to make yourself known as a reputable professional.

Advancement in Career: Edchart's certifications offer new opportunities to advance your career and increased earning potential.

Personal Benefits: Beyond its professional benefits, Edchart certification in SAP Sybase will bring you satisfaction and a sense of achievement, which can inspire you to study and improve your skills.

Who will gain from Edchart Certification?

Edchart and SAP Sybase certifications are tailored for people in all industries and at various stages of their career.

Students Get a competitive edge in your career by earning certificates to complement your academic achievements.

Professionals Increase the marketability of your skills in your current job or pursue a different path to your career by gaining special Certifications for SAP Sybase Developer.

Entrepreneurs Make yourself stand out from the crowd and display your knowledge to investors and clients by earning certifications.

Employers: Promote your workers' productivity and development through the use of certifications. You will also boost the morale of your employees.

SAP Sybase certification: Master Sybase's ASE & IQ with Free Test

SAP ASE Developer has been a market leader in database and analytics software for more than a decade. It is trusted by businesses across the globe due to its performance, reliability and scaling. With a wide range of products including SAP ASE Certification and IQ, SAP Sybase empowers businesses to realize the full potential of their data, driving the development of new technologies and growth. Sybase IQ Certification technologies validates expertise and opens the doors to rewarding career options in IT and management of data.

SAP Developer Certification The Most Accurate Certification

The SAP ASE and IQ Developer Certification is the most prestigious achievement for those looking to excel at database management. This certification demonstrates the ability to create and manage databases effectively. It focuses on the ASE exam and IQ. EdChart offers a free test to test your ability to pass this highly sought-after certification. Take the test at.

Sybase ASE certification

Sybase ASE Certification equips professionals with the skills to design, build and manage databases for enterprise level using SAP Adaptive Server Enterprise (ASE) technology. The certified individuals have a deep understanding of database management as well as security, optimization, and more.

Sybase IQ Certificate

Sybase Certification is focused on harnessing SAPIQ to provide advanced analytics and data warehouses. Through mastering data loading, querying, and performance tuning, certified SAP Sybase Developer professionals can unlock new opportunities in business intelligence and decision-making processes.

Sybase The benefits of IQ Certification and Features

Achieving Sybase IQ Certification provides numerous benefits in the present competitive job market. Professionals who are certified can earn higher wages, and enjoy more career advancement opportunities. SAP Developer certifies competence in a widely used technology. This improves credibility and trust with employers and other colleagues.

Sybase Certification Scope and Features

The SAP ASE certification covers a broad range of subjects such as database design and administration as well as performance optimization solutions, high availability, and much more. SAP Sybase developer certified professionals are able to handle difficult situations with confidence because they have experience managing complicated databases.

What are the reasons SAP ASE Certification should be taken?

SAP Certified ASE certification is essential for IT professionals who wish to focus on SAP database management. SAP Sybase Designer certified professionals are able to find exciting opportunities for top companies across the globe by demonstrating their expertise in the SAP database system. Certifications help show dedication and proficiency. This differentiates you from the other applicants in a competitive market for employment.

How can SAP IQ Certification help you?

Professionals working in data analysis, business intelligence, and decision support systems will benefit of the SAP IQ certification. This includes developers, data analysts and architects who want to make use of cutting-edge software for improved data analysis and warehouse management. SAP Developer Certification is designed to equip you with the necessary skills and knowledge for positions which require a high level of data management expertise.

[ralantech2]

RalanTech: Expert Sybase Remote DBA Support https://www.ralantech.com/sybase-database-support/ Gain peace of mind with RalanTech's specialized Sybase Remote DBA Support. Our experienced team ensures optimal performance, reliability, and security for your Sybase databases, allowing you to focus on your core business activities.

[ralantechinnovate]

Why Are Companies Moving Away from Spinnaker Support for Sybase?

In today’s fast-paced business environment, organizations require robust database management solutions to ensure seamless data operations. Sybase, a powerful relational database management system, offers enterprise-grade performance, scalability, and security. At Ralantech, we specialize in providing top-notch Sybase consulting services to help businesses optimize their database infrastructure and achieve operational efficiency.

[fromdevcom]

Structured Query Language (SQL) is the most popular language used in computers to create and manage databases. It is a language which has its own syntax and grammar. It does not belong to a particular company but is a universal language. The Structured Query Language can be pronounced Sequel or SQL. Like other computer languages like C, C++, Pascal, Java etc. We need a way to use it on our computer. We need a program that uses SQL as its means of communication. SQL is monitored by an independent organization, but each company adds a few features to its own implementation. MySQL is an application which is getting increasingly popular. The increasing popularity indicates that it is good, efficient, effective and reliable. In a simple manner, SQL is a non-procedural English-like language which processes data in groups of records rather than one record at a time. A few functions of SQL are the following: Storage of data Modification of data Retrieval of data Data deletion Generation of tables and other database projects. How Hard Is It To Learn SQL SQL is database layer query language and is not very difficult to learn. It does not require any prior programming experience to learn SQL queries. Learning SQL can be really easy if you already know a programming language. The fastest way to learn SQL is to start learning by doing it. History Of SQL A paper styled “A Relational Model of Data for Large Shared Data Banks” by Edgar F. Codd wrote in 1970 defined the relational database model. It became the basis for developing the SQL. Codd was a researcher associated with IBM. Based on his findings, in 1974 IBM began working on a new language for relational database management systems. The new language was originally called SEQUEL, or Structured English Query Language. The language went through a few modifications, implementations and the name was also changed a few times before it was finally called SQL. Subsequently, many SQL-based offerings hit the market where IBM had a key role to play. SQL is a language which is easy for beginners to learn than other programming languages like Java, C++, PHP or C#. Some of the relational database management systems which use SQL are Oracle, Sybase, Microsoft SQL Server, Access, Ingres etc. Most database systems use SQL. Most of them have their own proprietary extensions that are usually used only on their system. “Select”, “Insert”, “Update”, ”Delete”, “Create” and “Drop” are the standard SQL commands which can be used to achieve almost everything that one needs to do with a database. For those students who want to learn to programme from scratch, many free online courses will be of help. Step 1: Strong Determination To Learn Not every person loves SQL and hence, many of your friends and family will try their level best to discourage you from learning the language. It is true that the world of programming is flooded with different competing languages and it is not really possible to pick the one which is the best. A language which works perfectly for you might not serve the same purpose for someone else. Hence, instead of paying attention to what the critics of SQL have to say, you must focus all your attention on learning the language you picked. Know About Types Of Jobs And Skill Required For SQL Here are some of the positions that require applicants to have SQL skills: Database Developer The database developer should have the experience and the skills such as with Spring, XML, PL/SQL, Apache Camel, and Agile Methodologies. He or she also should have the ability to work closely with applications and web developers. Excellent problem-solving skills and strong relationship management skills are added advantage. Database Administrator (DBA) The database administrator should have the ability to with the computers that have the data. He should understand how computers store and retrieve data and also should have the knowledge to create a database. And the knowledge of database

organization and how it affects the computer and network performance is a must for this position. Also must have the ability to solve the technical problems which are caused by the database design and malfunction. Data Analyst The database analyst should have technical and soft skills. Technical skills mean a basic knowledge of statistics to a rigorous understanding of Machine Learning and the computer skills such as a Statistical Language (R, SAS, SPSS), a scripting Language (Python, Matlab), a Spreadsheet (Excel), and Querying Language (SQL, Hive, Pig). The soft skills needed are; defining problem, knowing the audience and the delivery. Data Warehouse Engineer Data Warehouse Engineer should have the ability to dealing with people and the knowledge various aspects of data warehousing on the areas such as Overall end-to-end data warehousing architecture, understanding of client/server, server-side computing architectures and the understanding of database optimization concepts for tuning data access queries SQL Reports Writer SQL Reports Writer should have the overall knowledge of SQL and good communication skills, and various computer applications which are necessary for this position. Step 2: Start Simple Learning SQL can be frustrating and require a lot of hard work on reading and practicing queries and commands. Do not try to do everything at the beginning. - Practice  Basic SQL. - Take it slow and learn simple queries first, then move to complex query writing. - Watch some video tutorial. - Practice with SQL assignment, example, and coding. You can find academic SQL assignment help at assign code website in case you are stuck. Step 3: Install My SQL and My SQL Workbench Why MySQL We have chosen MySQL since its simple, free and easy to learn. You can start with any database of your choice (if easily available). The below steps would still help you. Installation My SQL database is an open source and freely available database. You can easily download the My SQL server and its client workbench for quickly getting started. Download and Install My SQL Community Edition Database Download and Install My SQL Workbench Step 4: Learn SQL Fundamentals It's important to learn the fundamental concept of SQL first. Once you know the basic you can do more advanced things on SQL easily. An Overview Of Relational Database A relational database system contains one or more objects that are called tables. The data for the database is stored in these tables. Tables comprise of rows and columns. Rows contain the records or data for the columns. Columns contain the column name, data type and any other attributes for the column. Selecting Data In order to query the database and retrieve selected data that match the criteria, the select statement is used. The column names which follow the select keyword determine which columns will be returned in the results. One can select as many column names as one wants or can use a “*” to select all columns. The table name that follows the keyword “from” specifies the table that will be queried to retrieve the desired results. The optional “where” clause indicates which data values or rows will be returned or displayed. It is done based on the criteria described after the keyword “where.” Create Table “Create table” statement is used for creating a new table. In order to create a new table, the keywords “create table” must be used followed by the table name, an open parenthesis, the first column name, the data type for that column, any optional constraints and a closing parenthesis in order. Use of an open parenthesis before beginning the table and a closing parenthesis after the table is crucial. Each column definition should be separated with a comma. All SQL statements must end with a semicolon. Insert Data To insert or add a row of data into the table the “insert” statement is used. The keywords “insert into” must be used to insert records into a table followed by the table name, an open parenthesis,

a list of column names separated by commas, a closing parenthesis, the keyword “values” followed by the list of values enclosed in parenthesis. The values will behold in rows and they will match up with the specified column names. Update Data For updating records the “update” statement is used. A “where” clause must be carefully constructed for this purpose. In order to delete records or rows from the table, the “delete” statement is used. If the “where” clause is left all records will be deleted. To delete a table and all rows in a table the “drop table” command is used. Drop table is different from deleting all the records in a table. Only column and constraint information remain when all of the records in the table are deleted. Table definition and all rows get removed when dropping the table. Step 5: Read Some Good Books from Experts Although you can learn a lot of things on the internet and web-based tutorials. I recommend you to pick best mysql book. My favorite book is MySQL Crash course, I highly recommended it for beginners. Step 6: Start Writing and Running Simple Queries Write simple queries on My SQL and observe the results. Some simple query exercise that you can try are listed below resources SQL Exercise By Stanford A course by Stanford University requires the students to do following exercises. SQL Zoo Tutorials This tutorial contains some basic exercise that you can start with. MySQL Exercises, Practice, Solution Step 7: Simple Is Not Enough: Try Complex Queries and Performance Improvements Once you feel comfortable on simple queries and practice exercises you can move to complex queries. At this stage, I will recommend you to start focusing on the performance aspect of queries. Try to write and query that perform better. There are many ways to write SQL query however the performance may change. You need to write the queries efficiently that can return results in a short time. Learning SQL is a very important step in developing our database skills. If one has all his data in the SQL database, he needs to know how to retrieve it properly. It is also essential to know how to leverage the power of SQL to perform advanced table joins and other complex queries. Databases can be manipulated using the Data Manipulation Language (DML) which is a subset of SQL. One will be able to learn how to create databases and tables, delete data from databases and comprehend other complexities such as NULL values. A very common use of SQL is to perform searches against large volumes of data. Searching is made easy with many operators of SQL. The users just need to be aware of the multiple options available and they should be able to decide which technique is the best for them in a given situation. These tips should be practiced on a regular basis especially when writing queries. Hi my dear friends, I am a freelance writer in ClazWork scholarship essay writing service. I have prepared the number of articles, assignments, projects, professional essays document, thesis papers etc. I have 4 years experience in M Phil thesis writing papers. All the fields of papers are available in our company. Recently I will publish the article name as “Learning Tips for using SQL”

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Database in SAP Basis

Database Databases in SAP Basis: The Backbone of Your SAP Systems

SAP systems are synonymous with large-scale enterprise data management. At the heart of these intricate systems lies a critical component: the database. SAP Basis administrators play a pivotal role in ensuring the optimal performance and health of these databases, which power the smooth operation of SAP applications. In this blog, we’ll delve into the world of databases within SAP Basis.

What is SAP Basis?

Before diving into databases, let’s understand SAP Basis. SAP Basis is a collection of middleware programs and tools forming the technological foundation for SAP applications. It encompasses the administration, monitoring, and configuration of SAP systems, including their underlying operating systems, networks, and databases.

Types of Databases Supported by SAP

SAP systems are designed to work with a wide range of database vendors and database types. Some of the most commonly used databases in SAP environments include:

SAP HANA: SAP’s in-memory database platform optimized for lightning-fast data processing and advanced analytics. HANA’s columnar storage and in-memory capabilities allow for real-time insights.

Oracle: A robust and established relational database management system (RDBMS) known for its scalability and reliability.

IBM DB2: A high-performance RDBMS commonly used in large-scale enterprise environments.

Microsoft SQL Server: A popular RDBMS offering strong integration with the Windows operating system.

SAP ASE (Sybase): An RDBMS focusing on transaction processing and high user concurrency.

Responsibilities of SAP Basis Administrators

SAP Basis administrators are responsible for a wide range of database-related tasks, including:

Installation and Configuration: Installing and configuring database software and ensuring it aligns with the specific SAP application requirements.

Performance Tuning: Monitoring database performance, identifying bottlenecks, and optimizing settings to maintain efficiency.

Backup and Recovery: Implementing backup strategies to protect critical data. Developing and testing disaster recovery procedures to ensure business continuity.

Security: Maintaining robust database security measures to safeguard sensitive company information.

Troubleshooting: Proactively diagnosing and resolving database-related issues that may affect SAP applications.

Tools for Database Administration in SAP

SAP provides a range of tools that simplify database management for SAP Basis professionals:

SAP Cockpit/DBA Cockpit: A centralized tool for database monitoring and administration in SAP environments (especially popular for HANA).

SAP HANA Studio: A powerful toolset for managing SAP HANA databases, including development, administration, and modeling features.

BR*Tools (Backup/Recovery Tools): A suite of tools for backing up and restoring SAP databases.

Database-Specific Tools: Many databases offer native management tools, such as Oracle Enterprise Manager or SQL Server Management Studio.

The Importance of Database Expertise for SAP Basis

Databases are integral to the success of SAP systems. SAP Basis administrators with in-depth database knowledge have a decisive advantage. Strong database skills allow for:

Proactive Problem Solving: Pinpointing root causes of issues tied to database performance.

Optimized System Performance: Ensure SAP applications function at peak levels.

Reliable Data Management: Maintain data integrity and consistency.

Final Thoughts

The world of databases within SAP Basis is vast and complex. For SAP Basis administrators, mastering database management concepts is essential to maintaining the health and performance of SAP systems. By developing a strong understanding of database technologies, and by leveraging the tools SAP provides, administrators can ensure that critical data is secure, available, and optimized for the ever-evolving needs of the modern enterprise.

You can find more information about SAP  BASIS  in this  SAP BASIS Link

 

Conclusion:

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