Java Springboot With FireBird is a development stack for web or desktop based apps. We will use Java language with springboot framework to build a basic restful API. Our purpose is to setup the environment and access data from database using our Browser. We require following software: 1. Intelli J studio 2. Jdk (latest) 3. Firebird (latest) Step 1: Download and Install Firebird database (it comes with Command line SQL executor) as shown below: Step 2: Execute and test sample SQL script to verify connectivity with local system Firebird instance. Step 3: Download JBird driver for connectivity with Java instance. Step 4: Download and install IntelliJ idea studio. Step 5: Create Intelli J New Project (Spring Initializer) Step 6: Set Datasource using previously downloaded JBird. Step 7: Coding Starts: · Update POM file for all dependencies (you need internet access on development machine for this) · Configure data source from ‘
PYTHON Data Science: Python is the programming language of choice for data scientists . Although it wasn’t the first primary programming language, its popularity has grown throughout the years. In 2016, it overtook R on Kaggle , the premier platform for data science competitions. In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most-used tools. In 2018, 66% of data scientists reported using Python daily , making it the number one language for analytics professionals. In 2021, it overtook Java on the TIOBE index and is now the most popular programming language. What’s more, python for data science experts expect this trend to continue, sample . What does the current labor market look like for data scientists? According to Glassdoor, the average salary for a data scientist in 2022 is $119,118. That number is only expected to rise as demand for data scientists increases . In 2020, there were three times as many open positions for data scientists as the
Cisco Contact Center - Customize Reports & Queries in CUIC - UCCX. CC Customers must have an idea about How to Customize Reports & Queries in CUIC - UCCX. Our goal is CUIC Reports & Wallboards [ cisco webex contact center enterprise ] For Real-time information, two tables are very important i.e. * RtICDStatistics * RtCsqSummary Both the tables have real-time information about important KPI's of Contact Center. A supervisor or manager can instantly get an overview of the Overall Performance or Service Level. [ cisco webex contact center enterprise ] For Historical Reporting: UCCX base tables are more or less the same. Here is a Golden Tip. Play with the following tables: AgentConnectionDetail ContactCallDetail ContactQueueDetail Resources AgentStateDetail ContactServiceQueue With these tables, you can develop most of the Inbound, Outbound, CsQ, SkillGroup, CallType, DN, Campaign and Agent performance-based detailed reports on historical data of your contact c
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