Top data science tools and platforms providers across the world. Useful information for data science and data analytics developers.
Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data.
SAS visual analytics is a completely new architecture from SAS. It has the capability to manage large amounts of data and bring it into memory to analyze it, explore it and publish reports. Although the data amounts are massive — up to 1.1 billion rows of data, the SAS LASR Analytic Server, to use its full name, was designed to be intuitive to users without an advanced degree in computer science.
A report from Simply hired.
All about SAS analytics Server - The SAS Analytic Server begins with an eight-blade server with 96 processor cores, 768 gigabytes memory and 4.8 terabytes (TB) of disk storage. The upper end of the reference configurations is 96 blades with 1,152 cores, 9.2 TB memory and 57.6 TB of disk storage, enough disk space to store the entire Library of Congress six times. Where to Learn SAS Visual Analytics Also read: Modelling with SAS a detailed video course to get instant benefit
The real SAS Visual analytics benefits
The speed of in-memory architecture offers tremendous benefit. Organisations can explore huge data volumes and get answers to critical questions in near-real time. SAS Visual Analytics offers a double bonus: the speed of in-memory analytics plus self-service eliminates the traditional wait for IT-generated reports.
Businesses today must base decisions on insight gleaned from data, and that process needs to be close to instantaneous.
Despite being user-friendly, the server has been developed to make it easy for IT to manage the data and secure it without sacrificing usability, Guard said. It includes a visual analytics explorer for ad hoc analysis and discovery, he added.
SAS Visual Analytics helps business users to visually explore data on their own. But it goes well beyond traditional query and reporting. Running on low-cost, industry-standard blade servers, its high-performance in-memory architecture delivers answers in seconds or minutes instead of hours or days.
Where SAS differs
SAS analytics differ from many business intelligence (BI) solutions which simply move data from a SQL database into memory. That does not support regressions or logistics models becase those capabilities are not built into databases, he said.
In banking, analysts may develop hundreds of models a year; with SAS they will be able to do it 10 to 20 times faster. The importance of changing models rapidly is incredibly important in the banking industry. A demo on SAS visual analytics:
The computerWorld says-SAS also plans to broaden its user base by making its software more appealing beyond computer statisticians and data scientists. To this end, the company has paired its data exploration software, called SAS Visual Analytics, with its software for developing predictive models, called SAS Visual Statistics. The pairing can allow non-data scientists, such as line of business analysts and risk managers, to predict future trends based on current data. How companies will benefit
With SAS Analytic Server companies can solve problems they had never dealt with before because they it offers speed of analysis at a large scale. Users don’t have to analyze samples; they can look at everything.
SAS Visual Analytics will let us quickly dig into our big data to uncover opportunities, and in time, to fully exploit them.”The SAS LASR Analytic Server, uses Hadoop (embedded Hadoop Distributed File System) as local storage at the server for fault tolerance. SAS LASR Analytic Server has been tested on billions of rows of data and is extremely scalable, bypassing the known column limitations of many relational database management systems (RDBMS).
I am practicing Hyperledger. This is one of the top listed blockchains. This architecture follows R3 Corda specifications. Sharing the interview questions with you that I have prepared for my interview.
Though Ethereum leads in the real-time applications. The latest Hyperledger version is now ready for production applications. It has now become stable for production applications. The Hyperledger now backed by IBM. But, it is still an open source. These interview questions help you to read quickly.
The below set of interview questions help you like a tutorial on Hyperledger fabric.
Hyperledger Fabric Interview Questions1). What are Nodes?
In Hyperledger the communication entities are called Nodes.
2). What are the three different types of Nodes?
- Client Node
- Peer Node
- Order Node
The Client node initiates transactions. The peer node commits the transaction. The order node guarantees the delivery.
3). What is Channel?
A channel in Hyperledger is the subnet of the main blockchain. You c…
Blue prism is an automation tool useful to execute repetitive tasks without human effort. To learn this tool you need the right material. Provided below quick reference materials to understand detailed elements, architecture and creating new bots. Useful if you are a new learner and trying to enter into automation career.
The number one and most popular tool in automation is a Blue prism. In this post, I have given references for popular materials and resources so that you can use for your interviews.
RPA Blue Prism
RPA blue prism tutorial popular resources I have given in this post. You can download quickly. Learning Blue Prism is a really good option if you are a learner of Robotic process automation.
RPA Advantages
The RPA is also called "Robotic Process Automation"- Real advantages are you can automate any business process and you can complete the customer requests in less time.
Top data science tools and platforms providers across the world. Useful information for data science and data analytics developers.
Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data.
Robotic process automation is an upcoming IT skill. Three tools are popular. It is difficult to learn all three tool. So, learn anyone tool to start your career in automation.
To get a job in this line, I found in my research that some programming skills and Hand-on training on any one of the tools is required. Also, try to know the differences between popular RPA tools.
Skills Companies Looking in Automation Engineers
All big companies looking for candidates having experience in Automation anywhere, Blue Prism and UIPath. It is not possible to learn all tools. Learn anyone tool and do practice well.
Ok.
You may ask a question about how to do it. Join in good training institute and learn one tool. Take online classes to learn faster.
To learn Uipath try here. Also, you can enroll online course to learn UiPath.
UiPath GO The list of IT skills you needAutomation anywhere/Blue Prism/Uipath .Net/C#/Java/SQL skills MS-Visio Power Builder Python scripts/Unix Scripts/Perl Scripts HTML/CSS/J…
Perfect in PL/SQL is an art. To become this you need to understand top reserved words and their meanings. The below list is useful for your projects.
Top List of PL/SQL Reserved Words..
Before you start knowing reserved words, wait one moment. The reserved words all are similar to words that you use in normal SQL. ALL*DESC*ISOLATIONOUTSQLERRMALTER*DISTINCT*JAVAPACKAGESTART*AND*DOLEVEL*PARTITIONSTDDEVANY*DROP*LIKE*PCTFREE*SUBTYPEARRAYELSE*LIMITEDPLS_INTEGERSUCCESSFUL*AS*ELSIFLOCK*POSITIVESUMASC*ENDLONG*POSITIVENSYNONYM*AUTHIDEXCEPTIONLOOPPRAGMASYSDATE*AVGEXCLUSIVE*MAXPRIOR*TABLE*BEGINEXECUTEMINPRIVATETHEN*BETWEEN*EXISTS*MINUS*PROCEDURETIMEBINARY_INTEGEREXITMINUTEPUBLIC*TIMESTAMPINTEGEREXTENDSMLSLABEL*RAISE
Robotic process automation is growing area and many IT developers across the board started up-skill in this popular area. I have written this post for the benefit of Software developers who are interested in RPA also called Robotic Process Automation.
In my previous post, I have described that total 12 tools are available in the market. Out of those 3 tools are most popular. Those are Automation anywhere, BluePrism and Uipath. Many programmers asked what are the differences between these tools. I have given differences of all these three RPA tools.
BluePrism Blue Prism has taken a simple concept, replicating user activity on the desktop, and
made it enterprise strength. The technology is scalable, secure, resilient, and flexible
and is supported by a comprehensive methodology, operational framework and provided
as packaged software.The technology is developed and deployed within a “corridor of IT
governance” and has sophisticated error handling and process modelling capabilities to
ens…
In this post I am giving top examples on SQL functions. About built-in functions, I have covered in my previous post.
List of examples:DATE-TIME functionsNumeric functionsChar functionsNull-related functions1. DATE/TIME functions
SELECT p_code, launch_dt, CURRENT_DATE FROM product;
CURRENT_DATE returns current date.
SELECT p_code, TO_CHAR(launch_dt, 'DD MONTH YYYY') reformatted_dt FROM product;
TO_CHAR function returns DATE in CHAR format. 2. Numeric functions
SELECT p_code, price, (price - 20), ABS(price - 20.00) FROM product;
ABS - function returns absolute value
SELECT p_code, price, ROUND (price, 1) FROM product;
ROUND function - Round to 1 digit.
SELECT p_code, price, SIGN(price - 15) FROM product;
SIGN function - It returns sign; either + or -
SELECT p_code, price, TRUNC(price, 1) FROM product;
TRUNC function - Truncates to a certain number of decimal places. 3. CHAR functions
SELECT p_code, CONCAT(CONCAT(p_name, ' -- ') , price) FROM product;
CONCAT function - co…
I am practicing Python programming. This post is you can write logic to calculate factorial in function. This function you can call it a user-defined function. The function name is 'factorial.py'.
In real-time, you can write a program in a file and run it in python console. The main task of a developer is to create functions for the reusable code. They call these functions whenever they need. Factorial calculation program for supplied input value.
Factorial Logic in Python
I have completed this logic in 3 steps. Write factorial.pyImportExecute it
Write Factorial.py
Here you need to define a function. Use 2 for loops, and write your logic. This is done on LInux operating system. You can also try on Linux.
After, ESC command
Use, :wq to come out of the module.
Import Factorial.py
Go to Python console, using 'python' command. Use import factorial.py command.
Execute Factorial.py
>>> factorial.fact(5)
It will show the result of factorial.
Bottom line
Factorial o…
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