Data analytics is the job role hot in demand in each organization. Digital skills such as Mobile development, Full-stack development, Data Science, and Cloud computing are successful because they are very user-friendly to the end-users. Digital devices enabled digital technologies to cause to generate more data. You need different kinds of tools to analyze data in different formats. You need the right tools. Else you cannot predict the user's mind. User search data is the source of big retail markets. Based on these search words, they start selling the products. The motto behind data analytics is to get the benefit all stakeholders. Let us take cloud computing the main advantage is cost-effectiveness and scalability. 5 Skills you need for data analyst job R Programming SAS Excel Tableau QlikView Top Magazines to read Analytics Insight Analytics Magazine Analytics India Magazine Related Posts R Vs SAS Top Differences 6 Top IT Skills that have Huge Demand in

Statistical analysis should know by every software engineer. R is an open source statistical programming language. SAS is licensed analysis suite for statistics. The two are very much popular in Machine learning and data analytics projects. SAS is an Analysis-suite software and R is a programming language. 1. R Language R supports both statistical analysis and Graphics R is an open source project. R is 18th most popular Language R packages are written in C, C++, Java, Python and.Net R is popular in Machine learning, data mining and Statistical analysis projects. a). R Advantages R is flexible since a lot of packages are available. R is best suited for data related projects and  Machine learning . Less cost since it is open source language. R Studio is the best tool to develop R programming modules. Ref: imartcus.org (read more advantages) b). R Disadvantages R language architecture model is out of date. So may not use it for critical applications. R is not suitable for Serve

Here are the benefits of blockchain technology. Less maintenance and its distributable nature made the blockchain technology hot in the market.     The applications that used blockchain technology Viz: Banks, Share markets, Government Bodies, and Big Corporations.  What is Blockchain Blockchain stores each transaction in Blocks. No one can tamper or change the details. The people who are making a transaction in the Blockchain world both have the same copies. he parties involved cannot changes these records. So it is robust. Advantages of distributed ledger technology (Blockchain) The distributed nature of ledger details. Distributed data available to all parties, and cannot tamper the data. Every transaction is Public. That means only people who have access can see the information. It stores all records permanently. One cannot edit or manipulate the data. Data-hacking is not possible since it is distributed. Unlike centralized processing, the Blockchain is much faster. And verification

Testing is the critical phase in DevOps. The process of DevOps is to speed up the deployment process. That means there are no shortcuts in testing. Covering most relevant test cases is the main thing the tester has to focus. Requirements  Good maintainable code Exhaustive coverage of cases Training documents to Operations team Fewer bugs in the bug tracker Less complex and no redundant code Testing Activities   The team to use Tools to check the quality of code Style checker helps to correct code style Good design avoids bugs in production Code performance depends on the code-quality Bugs in production say poor testing  Tester Roles  Good quality means zero bugs in production . Design requirements a base to validate testing results. Automated test scripts give quick feedback on the quality of code. Right test cases cover all the functional changes. The Bottom Line The DevOps approach is seamless integration between Development and Operations without

There are two main reasons why Apache Storm is so popular. The number one is it can connect to many sources. The number two is scalable. The other advantage is fault-tolerant. That means, guaranteed data processing. The map-reduce jobs process data analytics in Hadoop. The topology in Storm is the real data processor. The co-ordination between Nimbus and Supervisor carried by Zookeeper Apache Storm The jobs in Hadoop are similar to the topology. The jobs run as per the schedule defined. In Storm, the topology runs forever. A topology consists of many worker processes spread across many machines.  A topology is a pre-defined design to get end product using your data. A topology comprises of 2 parts. These are Spout and bolts. The Spout is a funnel for topology Two nodes in Storm Master Node: similar to the Hadoop job tracker. It runs on a daemon called Nimbus. Worker Node: It runs on a daemon called Supervisor. The Supervisor listens to the work assigned to

The storm is a real-time computation system. It is a flagship software from Apache foundation. Has the capability to process in-stream data. You can integrate traditional databases easily in the Storm. The tricky and highly useful interview questions given in this post for your quick reference. Bench mark for Storm is a million tuples processed per second per node. Tricky Interview Questions 1) Real uses of Storm? A) You can use in real-time analytics, online machine learning, continuous computation, distributed RPC, ETL 2) What are different available layers on Storm? Flux SQL Streams API Trident   3)  The real use of SQL API on top of Storm? A) You can run SQL queries on stream data 4) Most popular integrations to Storm? HDFS Cassandra JDBC HIVE HBase 5) What are different possible Containers integration with Storm? YARN DOCKER MESOS 6) What is Local Mode? A) Running topologies in the Local server we can say as Local Mode. 7) Where all t

The smart contract in Blockchain is a software application that works without human intervention. Here I have shared the Smart Contract backend process. Smart Contract Mechanism. 1. What is Smart Contract A smart contract is a protocol that can auto-execute, facilitate, verify, or enforce the negotiation of a contract. Agreement between two parties you can say as a contract. Incorporating the rules of the physical contract into the computing world, you can say as a smart contract Blockchain supports you to create smart contracts. Smart Contracts are self-executing programs that run on the blockchain and are capable of enforcing rules Using Blockchain as a platform and making an agreement or contract between more than two parties, you can say as Smart Contract. 2. Traditional Markets  3. Top Benefits of Smart Contract Currently, smart contracts are being used only in Crypto Currencies Now Smart Contracts being used in all financial transactions A smart contract ca

Your most looking information where Python matrix and COBOL arrays differ, in this post, I am giving complete information. The Logic is different in both the languages. The way of definition and accessing element in an array or matrix is different. Python Matrix Vs COBOL Array. In reality both Array and Matrix are the same What are Arrays  Arrays are storing data structure to store data in one or more dimensional form. You can access the data for further processing in your application program. One Dimensional Array  In general, one dimensional array is a row of elements either numeric or Strings separated by commas. Here, each element is separated by comma. This is key concept. >>> a = ['Srini',25,33,42] Two Dimensional Arrays  In the case of Two dimensional array data stored in Tabular form and you can access whichever tuple you want. Real use of multi dimensional array is to give input in Tabular form and can access particular tuple as you want. >>>