• It means that the ticket you’re currently in is automatically refreshed when it’s modified, with any changes highlighted in green.
• Sometimes, a different agent may submit a reply or change a ticket property (such as an assignee, tag or ticket type). Other times, ticket properties may be changed by a trigger, automation or a macro.
• It could even be a new reply from your customer. In either case, your agents will be able to see these changes reflected in their help desk instantaneously.
  • Ticket view
  • Ticket filters
  • Ticket list

• For example you’re viewing a ticket, here’s what will happen if another agent submits their own changes. All ticket property changes (including those changed by a trigger, automation or macro) will be highlighted in green & your previously made changes reset.
  • ticket status
  • assignee
  • email
  • CC
  • subject
  • tags
  • priority
  • type

• New replies will have a green background with “NEW” appearing in the ticket header. If you’ve been working on a reply, it will remain intact.
• New internal notes will have an orange background with “NEW” appearing in the ticket header. If you’ve been working on a reply, it will remain intact.
• If a ticket is deleted while you’re viewing it, the ticket will disappear and you’ll see “Ticket #123 has been deleted by (agent’s name)”.

• Ticket filters (also known as ticket views) organize tickets according to your workflows and also displayed in real-time.
• When a new, shared (i.e. visible to all agents) filter is created, a private filter is made shared or vice versa.
• When the filter’s name is changed. If the search query or sorting properties are changed, they will not be reflected in real-time.
• When a ticket appears or disappears from a filter, the number nearby the filter will be changed consequently.
• When a new ticket appears or disappears from a filter you’re currently in.

• The ticket list is the middle column which shows a list of tickets matching your current search query or filter. When new tickets are added, moved or deleted they will appear or disappear from the ticket list immediately.
• Finally, check out Agent collision detection in tickets. It helps you see who is viewing, updating or replying to a ticket.

• The Internet dealings Server (ITS) shopper is that the system shopper wherever the launch transactions area unit dead once agents use the IC WebClient.You would like to log in to the remote system (for example, SAP ERP) to assemble the data required to take care of the computer address, however the settings area unit created within the CRM system.
• The Interaction Center (IC) WebClient could be a thin-client, highly-optimized desktop application for interaction center agents. It provides a framework for process IC WebClient functions.

• SAP applications using the classic screen technology are displayed for the end user using the SAP GUI. The screen can contain a set of predefined elements or GUI controls.
• The SAP GUI is used to display selection screens, messages, and classic lists from an ABAP program on the user’s screen.
• Selection screens are special screens that can be defined without using Screen Painter. When an ABAP program is activated, the ABAP runtime environment activates all of the required screens with all of their parts.
• Messages are short texts that are displayed in a dialog box or in the status line of the current SAP GUI window.

• Create an ADODB connection object which is required step for connecting to database as below.

Authentication using Id, Password and details.

• • Provider: For SQL server database the provider is “sqloledb”
  • Server: Open the SQL Server in your machine and Right click on the required Database/ click on properties.

• Click on “View connection Properties”

• User Name and Server details are required from this dialogue box

• objConnection.open “provider=sqloledb; Server=SDWA-160-PC; User Id=SDWA-160; Password=; Database=sample; Trusted_Connection=Yes”
• Hence, Connection setup completed and ready for execution.

• Enter the required SQL query to be executed.
• Execution of the query with the statement below.

• The above mentioned sample script has been executed and the value from the database is retrieved.

• Strong project management skills.
• Good Communication.
• SQL is easy to learn a most of analytics skills.
• Decent grasp Python-Pandas or R to do data crunching and manipulation.
• Based on Good visualization skills (start by checking out CSS color palettes).
• The Tableau or Power BI come at the very end of the analytics pipeline, it’s good you have an overall grasp.

• Power BI stores all the uploaded data into Azure BLOB and Azure SQL Database.
• Both databases are only accessible by an Admin user, which means that end-users cannot access the database, eliminating user-level security.
• Now this data is on the Microsoft cloud and when it comes to their security, there isn’t much to explain except to say that the data is 100% secured.

• • Power BI Service
  • Power BI Desktop

• Cloud SaaS is called the Power BI service for accessing the cloud service.

• Power BI Desktop was an free application that works in joining together with the Power BI Service.
• Power Bi Desktop allows you to do the following.

• • Get the data from collection of unlike sources.
  • Create relationships between your data and to end with fine or desirable qualities of your data model.
  • Then Create and save your reports.
  • And Upload or publish your reports.

• The reports created using Power BI Desktop then published in Power BI Service right from the Power BI Desktop application.
• Using both Power BI Service and Power BI Desktop the cost is free.

• Power BI will not accept files larger than 1GB.
• Power BI reports and dashboards cannot accept or pass user, account or other entity parameters.
• This makes it impossible to create entity specific dashboards such as a dashboard for an account, opportunity, case, or campaign.
• Very few data sources that permit real-time connections to Power BI reports and dashboard.
• Users have the same email domains listed with your office 365 tenant can only be shared dashboards and reports.
• The integration to Dynamics CRM is limited.

• Minimal upfront costs.
• View Power BI reports across multiple platforms and devices.
• Consolidate multiple data sources through Power BI.
• Instantly share dashboards.Like
  • Spark
  • Hadoop
  • Google Analytics
  • SAP
  • Salesforce
  • MailChimp
• Drag-and-drop functionality.
• Drill-down functionality.
• Schedule Data Refresh.
• Write simple sentences to run report queries.

• It has implements built-in connectors that allow Power BI tools to connect with a many different data sources from Microsoft, Salesforce and other vendors.

• It allows us to create subsets of data and it automatically apply analytics for data.

• It is especially popular on mobile devices, allows us to verbally query data and access results.

• It allows developers to change the appearance of default visualization and reporting tools and import new tools into the platform.

• It gives developers with Application programming interface(APIs) and sample code for integrating the Power BI dashboard into various software outcome.

• Power BI is a group of software applications, services and connectors.
• It combined work to change separate fields of data into visually absorp, logical and interconnected intuition.
• Whatever your data was a simple Excel spreadsheet or a group of cloud-based and on-premises combined data warehouses.

• It permits to easily connect your data sources, visualize and share what you want to anyone or everyone.
• By using Power BI as it automatically extracts data from all sources and brings that to a unified viewing pane and can analyze and visualize data, cooperate with our team to build reports and share the reports with people have plan.

• Create two new value sets for the parameters that are to be used.
• Query the concurrent program definition.
• Go into Parameters window.
• Attach the value set to each of the parameters that are being used.

• The concurrent programe is nothing but instances of execution file along with parameter and incompatible programs.
• We can register 11 types of executable as Concurrent Programe.

• We can execute multi language programs as Concurrent Programe.
• When we run Concurrent Programe we can utilize 100% local machine hardware capacity.
• We can change the Concurrent Programe output based on employee profile.
• We can submit only Request.
• We can schedule the Concurrent Programe as per client requirement.

• Joins are SELECT commands that retrieve data from two or more tables.
• The WHERE clause usually gives the join conditions that determine how data is selected from each table in the join to fill in the specified columns in the select list.
• Joins are used to return rows.
• Join is an integral part of the select statement.

• Subquery is a SELECT statement within another SQL Statement.
• Subqueries structure a complex query into isolated parts.
• Subqueries allow you to use the results of another query in the outer query.

• • The currently running process may be interrupted and moved to the ready state by the OS.
  • The resources (mainly CPU cycles) are allocated to the process for the limited amount of time and then is taken away, and the process is again placed back in the ready queue if that process still has CPU burst time remaining.

• • That process stays in ready queue till it gets next chance to execute.
  • The decision to preempt may be performed when,
    • A new process arrives (with a higher priority than the current process)

Preemptive Scheduling

• • An interrupt occurs (fairness)
  • Periodically based on clock interrupt. (Eg: Round Robin)

• More robust, one process cannot monopolize the CPU.
• Fairness. The OS makes sure that CPU usage is the same by all running process.

• Context switch cost: Time taken by the scheduler to suspend the running task, switch the context, and dispatch the new incoming task.

• Memory management is the process of controlling and coordinating computer memory, assigning portions called blocks to various running programs to optimize overall system performance.
• Memory management resides in hardware, in the OS (operating system), and in applications.
• In hardware, memory management involves components that physically store data, such as RAM chips, memory caches,etc.,.
• In the OS, memory management involves the allocation (and constant reallocation) of specific memory blocks to individual programs as user demands change.
• At the application level, memory management ensures the availability of adequate memory for the objects and data structures of each running program at all times.Application memory management combines two related tasks, known as allocation and recycling.
  • Allocation : When the program requests a block of memory, a part of the memory manager called the allocator assigns that block to the program.
  • Recycling : When a program no longer needs the data in previously allocated memory blocks, those blocks become available for reassignment. This task can be done manually (by the programmer) or automatically (by the memory manager).

• As processes are loaded and removed from memory, the free memory space has broken into small pieces.
• That processes cannot be allocated to memory blocks considering their small size and memory blocks remains unused.
• This problem is known as Fragmentation.There are two types of fragmentation,
  • Internal fragmentation
  • External fragmentation

• Memory block assigned to process is lager. Memory is left unused in some portion as it cannot be used by another process.

• Total memory space is enough to satisfy a request or to reside a process in it, but it is not contiguous, so it cannot be used.

• A thread is a flow of execution through the process code, with its own program counter that keeps way of which instruction to execute next, system registers which hold its existing working variables, and a stack which contains the execution history. A thread is also called as lightweight process.
• A thread shares with its peer threads few information like code segment, data segment and open files.
• To improve application performance through parallelism.
• Threads represent a software approach to improving performance of operating system by reducing the overhead thread is equivalent to a classical process.
• Each thread has exactly one process and no thread can exist outside a process. Each thread signifies a separate flow of control.
• Implementing network servers and web server.
• They are also offer a suitable foundation for parallel execution of applications on shared memory multiprocessors.
• The working process of a single-threaded and a multithreaded are shows in the following figure.

• The context switching time minimize in thread concepts.
• Use of threads offers concurrency within a process.
• Efficient communication.
• It is more economical to create and context switch threads.
• Threads allow utilization to a greater scale and efficiency of multiprocessor architectures.

• There are two types of thread,
  • User Level Threads.
  • Kernel Level Threads.

• In this case, the thread management kernel is not aware of the existence of threads.
• The thread library contains code for creating and destroying threads, for transient message and data between threads, for scheduling thread execution and for saving and reestablishing thread settings.
• From the single thread start the application.

• Kernel is done thread management.
• In the application area there is no thread management code.
• The operating system directly supported Kernel threads.
• Multithreaded can be programmed in an any application.
• An application is supported within a single process.

• Scheduling is an essential part of a Multiprogramming operating systems.
• Such operating systems allow more than one process to be loaded into the executable memory at a given time and the loaded process shares from the CPU using time multiplexing.
• The Operating System maintains the following important process scheduling queues −
  • Job queue − This queue preserves all the processes in the system.
  • Ready queue − This queue keeps a set of all processes residing in main memory, ready and waiting to execute. A new process is always placed in this queue.
  • Device queues − The processes which are blocked due to inaccessibility of an I/O device establish this queue.

• The OS can use different procedures to manage each queue (FIFO, Round Robin, Priority, etc.).
• The OS scheduler determines how to move from processes between the ready and run queues which can only have one entry per processor core on the system; in the above diagram, it has been combined with the CPU.

• Long-Term Scheduler
• Short-Term Scheduler
• Medium-Term Scheduler

• It is also called a job scheduler.
• It selects processes from the queue and loads into memory for execution.
• The long-term scheduler may not be accessible or minimal.
• No long-term scheduler in the time-sharing operating systems.
• Use of long-term scheduler when a process changes the state from new to ready.

• Short term scheduler is also known as CPU scheduler.
• It is used to improve system performance.
• It is change from ready state to running state of the process.
• Short term scheduler is faster than compared to long term scheduler.

• Medium-term scheduling is a part of swapping.
• Medium Term Scheduler has removed the processes from the memory.
• To remove the process from memory and make space to the other processes, the postponed process is moved to the secondary storage.
• This process is called swapping.