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Showing posts with the label career skills

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Step-by-Step Guide to Creating an AWS RDS Database Instance

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 Amazon Relational Database Service (AWS RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Instead of managing servers, patching OS, and handling backups manually, AWS RDS takes care of the heavy lifting so you can focus on building applications and data pipelines. In this blog, we’ll walk through how to create an AWS RDS instance , key configuration choices, and best practices you should follow in real-world projects. What is AWS RDS? AWS RDS is a managed database service that supports popular relational engines such as: Amazon Aurora (MySQL / PostgreSQL compatible) MySQL PostgreSQL MariaDB Oracle SQL Server With RDS, AWS manages: Database provisioning Automated backups Software patching High availability (Multi-AZ) Monitoring and scaling Prerequisites Before creating an RDS instance, make sure you have: An active AWS account Proper IAM permissions (RDS, EC2, VPC) A basic understanding of: ...

The best career skills need for Social media platform

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#How-to-apply-social-media-analytics-for-all-it-developers Listening -  This one is still very much true, and perhaps even more so. The best social media pros listen the most actively and most aggressively. Pattern Recognition -  This is getting more and more critical as the data and complexity of social continues to ratchet up. Are these posts on our Facebook page a crisis in the making, or just noise? Where are the real-time marketing opportunities?  Instantly identifying patterns and being able to capitalize upon them  are some of the skills that separate good social practitioners from great ones. Visual Thinking -  This is perhaps the biggest change in the past year or two. Being a great writer was formerly a key characteristic of many social pros, as being able to coherently write in 140 characters isn’t as easy as it appears. Today, with every social network embracing visuals and multi-media,  being able to represent the brand visually is...

Infosys Looking for New Opportunities in Cutting Edge Software

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Analytical skills "I want us to be there in the great problems that are emerging around artificial intelligence techniques, deep data science and big data techniques, analytics and so on. New Opportunities Finding new energy sources, digital oil fields. This is the big thing in the minds of people in the oil and gas industry," Sikka said. Vishal Sikka also told that Infosys could build a computer like IBM's Watson from scratch. Watson is an artificially intelligent computer system that can answer questions posed in normal language and can be used to help make decisions. Watson Power In January this year, IBM announced that it would create a business unit around Watson. IBM CEO Virginia Rometty has said she wants Watson to be a $10 billion business. Read more here.

Data science these IT skills you need to learn to get job

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The most lucrative analytics skills include MapReduce, Apache Pig, Machine Learning, Apache Hive and Apache Hadoop. Machine learning, big data, and data science skills are the most challenging to recruit for and potentially can create the greatest disruption to ongoing product development and go-to-market strategies if not filled. Image Courtesy|Stockphotos.io Great in demand it skills... Big Data (Information Technology): 3,977% Node.js (Design): 2,493% Tableau (Research and Analysis): 1,581% NoSQL (Information Technology): 1,002% Apache Hadoop (Information Technology): 704% HTML5 (Information Technology): 612% Python (Research and Analysis): 456% Oracle (Sales): 382% JSON (Information Technology): 318% Salesforce CRM (Sales): 292%