B.Tech Petroleum Engineering is a 4-years engineering route that gives diverse specialization publications that deal with the manufacturing of hydrocarbons, which could both be herbal fuel lines or crude oil. The technical field of the B.Tech petroleum engineering course requires having a detailed understanding of the physical properties of oil, gas, and water along with the process of oil exploration and processing of crude oils.
B.Tech Petroleum Engineering degree overlaps with different primary engineering courses, along with mechanical, chemical, and civil. The B.Tech Petroleum Engineering program covers an extensive spectrum of numerous subjects including, however now no longer constrained to, Mathematics, Physics, Chemistry, Geology, Economics, Thermodynamics, and others.
The B.Tech Petroleum Engineering Admission Process is, In order to take admission in B.Tech Petroleum Engineering Eligibility, students need to secure a minimum of 60 percent marks at Higher and Secondary level (10th & 12th) from a recognized educational board (CBSE or State board) plus minimum 60% in aggregate (55% for SC/ST) in Science stream with Physics, Chemistry & Mathematics as core subjects at Senior Secondary level (12th).
The B.Tech Petroleum Entrance examination syllabus includes 3 sections - General Aptitude, Engineering Mathematics, and difficulty-unique papers as selected by college students at some point during the submission of software forms. The subjects for the exam include digital logic, computer organization and architecture, programming and data structures, algorithms, theory of computation, compiler design, operating systems, databases, and computer networks.
B.Tech Petroleum engineering calls for a minimal 10+2 simple qualifications in Mathematics, Physics, and Chemistry circulate with an excessive percentage of marks. The common route costs, to pursue the B.Tech Petroleum Engineering fee structure may be everywhere from INR 25,000 to INR four Lakhs in step with 12 months relying on the college.
B.Tech Petroleum Engineering jobs graduates get located withinside the petroleum refining industry. The common B.Tech Petroleum Engineering salary is around INR 7 LPA for entry-level. The revenue of B.Tech Petroleum Engineering graduates relies upon the sort of quarter they paint in. After finishing the B.Tech Petroleum Engineering near me degree, college students can input any petroleum refining, manufacturing, and different associated agencies and paintings as petrol engineers.
The B.Tech Petroleum Engineering placements areas of recruitment are:
B.Tech in Petroleum Engineering syllabus is designed for a 4 years full-time commencement course. This direction more often than not imparts hands-on revel in petroleum engineering.
Big data skills are crucial to land up data engineering job roles. From designing, creating, building, and maintaining data pipelines to collating raw data from various sources and ensuring performance optimization, data engineering professionals carry a plethora of tasks. They are expected to know about big data frameworks, databases, building data infrastructure, containers, and more. It is also important that they have hands-on exposure to tools such as Scala, Hadoop, HPCC, Storm, Cloudera, Rapidminer, SPSS, SAS, Excel, R, Python, Docker, Kubernetes, MapReduce, Pig, and to name a few.
Here, we list some of the important skills that one should possess to build a successful career in big data.
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The Google computer engine exchanges a large number of scalable virtual machines to serve as clusters used for that purpose. GCE can be managed through a RESTful API, command line interface, or web console. The computing engine is serviced for a minimum of 10-minutes per use. There is no up or front fee or time commitment. GCE competes with Amazon’s Elastic Compute Cloud (EC2) and Microsoft Azure.
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Over the past few years, the usage of data has exploded drastically. More people, organizations, businesses, etc. are availing data as part of their routine mechanism. Earlier, people focused more on useful insights and analysis, but now, they have come to the sense that managing data also needs equal importance. As a result, the role of data engineer has ballooned in the technology sector. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. Data engineers are responsible for finding trends in datasets and developing algorithms to help make raw data more useful to the enterprise. The Dice 2020 Tech Job Report labeled data engineering as the fastest-growing job of 2019, with a 50% year-over-year growth in the number of openings. According to Dataquest, data engineers performs three main roles namely generalist (found in small teams or small companies), pipeline-centric (found in midsize companies) and database-centric (works in large organizations). Analytics Insight has figured top 10 companies hiring data engineering professionals with decent salary.
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When evaluating databases, we often think about each database as having its own identity. For example, if we want to do transactional operations, SQL is a good database to consider. In terms of model flexibility, NoSQL may trump SQL if the model changes often. Then we have the modern distributed SQL database, such as Google Spanner, that can provide global transactions and strongly consistent reads.
However, it is paramount to understand the underlying storage engine within these databases to explain how databases deliver these promises. For instance, why are relational databases very useful for performing transactional operations? What is the storage engine underlying SQL that makes transaction operations a good fit?
There are big differences between a storage engine optimized for transactional workload vs. one optimized for analytics. In this article, we will talk about two storage engine families that power the databases widely used in most applications: SQL and NoSQL.
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Shreemoy Nayak is an alumnus of UpGrad and BITS Pialni Big Data Engineering program.
I am a mechanical engineer currently working as a project engineer. My job is to execute the projects at the site and deliver them on time. Though my job doesn’t involve data analysis at the scale of banking or FMCG industry, it demands a certain level of awareness for planning and executing a project. During my 2-year experience, I’ve come across situations, more often than not, when things don’t go as planned and the engineer-in-charge needs to make informed decisions to complete the job in time while making sure the expenditure doesn’t exceed the sanction.
In these cases, a sound knowledge of exploiting the data, both financial and otherwise, from previous and ongoing projects those are similar to the current project, comes in handy. In today’s world data-driven decision making has taken the front seat and Big Data is going to be the next big thing.
With a sound knowledge of statistics, I searched for online courses related to data analysis and came across this PG Program in Big Data Engineering offered by BITS Pilani in association with UpGrad on Facebook. Initially, I was apprehensive. But 7 months into this program and I am sure I’ve made the right decision.
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