kdeven57-blog

[kdeven57-blog]

Intellipaat provides the best Data Science training for professionals looking to master this exciting and challenging field. In this training course, you will learn about Data Science, methods of data acquisition, project life cycle, deploying Machine Learning and statistical methods, along with studying Apache Mahout, data transformation and working with recommenders.

Become a Master of Data Science by going through this Online Data Science course in Sydney.

You will be working on real-time projects and step-by-step assignments that have high relevance in the corporate world, and the curriculum is designed by industry experts. Upon the completion of the training course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.

[kdeven57-blog]

This SQL tutorial will help you learn SQL basics, so you can become a successful SQL developer. You will find out what are the SQL commands, syntax, data types, operators, creation & dropping of tables, inserting and selecting query. Through this tutorial you will learn SQL for working with a relational database. Learn SQL from Intellipaat SQL training and fast-track your career.

SQL Tutorial for Beginners

This SQL Tutorial for Beginners is a complete package for how to learn SQL online. In this SQL tutorial , you will learn SQL programming to get a clear idea of what Structured Query Language is and how you deploy SQL to work with a relational database system. So, a structured query language is a language that is used to operate the relational databases. Some of the major ways in which SQL is used in conjunction with a relational database is for the purposes of storing, retrieving and manipulating of data stored in a relational database.

Check out Intellipaat’s blog to get a fair understanding of SQL Optimization Techniques!

Here we have the list of topics if you want to jump right into a specific one:

What is SQL?

Why is SQL programming so widely used?

Features of SQL

Applications of SQL

Why should you learn SQL Programming?

Watch this SQL Tutorial for Beginners video:

https://www.youtube.com/watch?v=JTDK6r1GuUU&feature=youtu.be

What is SQL?

To learn SQL Online, first let us compare SQL with NoSQL in the below table:

Comparison criteriaSQLNoSQL

Type of databaseRelationalNon-relational

How is data storedStructured data in tablesUnstructured data in JSON files

Suitability for OLTP systemsExcellentAverage

Database compliance

ACID properties

CAP Theorem

The language to communicate with the relational database is the SQL or Structured Query Language. SQL programming helps to operate the relational databases and derive information from it.

Some of the operations that the SQL does include creation of database, fetching, modifying, updating and deleting the rows along with storing, manipulating and retrieving data within the relational database. SQL programming is an ANSI standard language but there are a lot of versions of SQL in usage as well.

Why is SQL programming so widely used?

Structured Query Language or SQL programming is used so extensively for the following reasons.

SQL lets you access any data within the relational database

You can describe the data in the database using SQL

Using SQL you can manipulate the data with the relational database

SQL can embed within other languages through SQL modules & libraries

SQL lets you easily create and drop databases and tables

SQL allows you to create views, functions and stored procedures in databases

Using SQL you can set permissions on procedures, tables and views.

Wish to crack SQL job interviews? Intellipaat’s Top SQL Interview Questions are meant only for you!

Get interview-ready with this SQL Interview Questions: https://intellipaat.com/blog/interview-question/sql-interview-questions/

Features of SQL

Here in this section of the SQL tutorial for beginners, we list some of the top features of SQL that make it so ubiquitous when it comes to managing relational databases.

SQL is very simple and easy to learn language

SQL is versatile as it works with database systems from Oracle, IBM, Microsoft, etc.

SQL is an ANSI and ISO standard language for database creation and manipulation

SQL has a well-defined structure as it uses long established standards

SQL is very fast in retrieving large amounts of data very efficiently

SQL lets you manage databases without knowing lot of coding.

Applications of SQL

Here in this section of the SQL tutorial we will learn SQL applications that make it so important in a data-driven world where managing huge databases is the norm of the day.

SQL is used as a Data Definition Language (DDL) meaning you can independently create a database, define its structure, use it and then discard it when you are done with it

SQL is also used as a Data Manipulation Language (DML) which means you can use it for maintaining an already existing database. SQL is a powerful language for entering data, modifying data and extracting data with regard to a database

SQL is also deployed as a Data Control Language (DCL) which specifies how you can protect your database against corruption and misuse.

SQL is extensively used as a Client/Server language to connect the front-end with the back-end thus supporting the client/server architecture

SQL can also be used in the three-tier architecture of a client, an application server and a database that defines the Internet architecture.

Still have queries? Come to Intellipaat’s SQL Community, clarify all your doubts, and excel in your career!

Why should you learn SQL?

Today regardless of the relational databases systems by major corporations like Oracle, IBM, Microsoft and others, the one thing that is common to them is the Structured Query Language or SQL.

Originally published at www.intellipaat.com on August 12, 2019

[kdeven57-blog]

This Python tutorial will help you learn Python and build a career in this top programming language. Through this tutorial, you will learn Python basics, its salient features, basic syntax, variable types, operators, functions, modules, and more. You will also understand what exception handling is, how to access database, Python classes and loops, and ultimately how to write Python codes. Learn Python from Intellipaat Python Certification course and excel in your career!

Introduction to Python Programming

What is Python used for? Let’s begin with this Python tutorial in order to make you understand what Python programming is. We will start from Python basics.

As per Stack Overflow, Python language is one among the fastest growing programming languages in the world. Forbes says that Python language has seen the 7th largest increase in demand in the past few years. Due to this, there is an acute shortage of skilled and certified Python professionals. Hence, job opportunities for Python programming have increased, tremendously. According to Indeed, the average annual salary of a Python Developer in the US is $123,000.

Interested in learning Python? Enroll in our Python Course in London now!

Watch this Python Tutorial Video for Beginners for more insight.

Python language is one of the most popular programming languages of the 21st century. It is a general-purpose language and has been here around for over 20 years. Python Syntax is also extremely simple and elegant.  With its gentle and gradual learning curve, Python is considered as the best introductory programming language. I hope the introduction to python is clear to you by now.

Kick-start your career in Python with the perfect Python Course in New York now!

So, let’s jump onto the other topics in this python tutorial and learn python for beginners.

Here is the list of topics covered in this Python Tutorial, just in case you want to jump right into a specific one:

Why Python?

What Can Python Do?

Python 2 Vs. Python 3

Beginners’ Tips for Learning Python Programming Online

Why Python?

When it comes to automating the predictive model, Python language is the first choice for Data Scientists

Python language provides some of the awesome and robust libraries for Big Data, Artificial Intelligence, Machine Learning, and Deep Learning.

For deploying Machine Learning models in production, Data Scientist prefers Python programming over R.

It is easy to integrate Python with Big Data frameworks such as Spark and Hadoop.

Python language has huge online community support.

What Can Python Do?

Python is a general-purpose language, which means that it can be used to write software applications in a variety of domains without being restricted to a particular domain. This feature sets Python apart from the domain-specific languages. Being a general-purpose language, Python can do a number of interesting things. Some of them are listed here in this python tutorial below:

Python programming can be used to write an application using Tkinterwhich use graphics rather than text to interact with the users.

Python language can be used to create games, using its modules such as Pygameor Kivy.

Python can also automate boring stuff such as sending emails, uploading status on a Facebook account, and more

Python can also be used to experiment with computer vision using its openCV library. It is particularly used in robotics to enable the robots to see and avoid obstacles while moving.

Drawing complex graphs and visualizing the data can be by Python, using its matplotliband similar libraries.

Being one of the top choices for data analysis, Python can also mine Twitter Data. How convenient is that! Especially, if you consider the fact that in today’s world there are literally hordes of data created every second.

We have the perfect professional Python Course in Bangalore for you!

Watch this Python for Data Science Video.

Difference Between Python 2 and Python 3

Since the release of the new version of Python, i.e., Python 3, which is explained the most in this Python tutorial, there has been a bit of debate in the coding community over deciding which Python version is better. Whether Python 3 is better than Python 2 is a rather subjective question, and the selection between the two eventually comes down to personal preference. But, one must know how Python 2 and Python 3 are different. Python 3 is a fundamentally different version from Python 2.

Check out all the key differences between Python 2 and 3:

Basis of the Difference

Beginners’ Tips for Learning Python Programming Online

While learning as a beginner through this Python tutorial, you should follow these tips which will help you deal with some new concepts:

Tip #1: Practice Python every day

It is important to have consistency while learning any new programming language. It is important that you should make a commitment to write code every day, as it will play with your muscle memory which is a very important part in programming. Increase your level of coding gradually but never stop playing around with the Python basics coding part. You may end up learning something new every time you practice Python coding even about the python basics.

This python tutorial will also help you keep a good grasp of Python basics. Here are some examples for you to exercise:

Print the type of an element:

>> a = “this is a string”

>>> type(a)

>>> <class ‘str’> #output

Use docstring to add multi-line descriptive descriptions in your code:

>>def printOutput(str):

>>>“’This function will print the passed string’”

>>>print (str)

>>>return;

Watch this Python Tutorial Video for Beginners.

Import libraries:

>>> import sklearn

>>> import pandas as pd

>>> import matplotlib.pyplot as plt

Perform operations and play around with them:

>> a = ‘Intellipaat’

>>> a.upper()

>>> ‘INTELLIPAAT’

The list does not end here, there are plenty other basic things that you can practice.

Tip #2: Use Interactive Python shell

Whether you are new to Python data structures (dictionaries, lists, strings, etc.) or you are debugging an application, the best learning tool is the Interactive Python Shell.

To use the Interactive Python Shell, first, you should install Python on your computer. This Python tutorial on the step-by-step Installation procedure of Python will help you learn how to install Python in your system. To activate and use the Interactive Python Shell, simply open the terminal on your system and run Python 2 or Python 3 depending on your version of installation. Once the shell is open, you can start writing the code.

Tip #3: Debug your code

Hitting a bug is normal when you start writing a complex program. Don’t get frustrated here; it happens with everyone! Instead, take these moments as pride and think of yourself as a bug bounty hunter. Debugging your own code will help you learn even more.

It is important to have a methodological approach while debugging the code, which will help you find where your code has broken down. Going through your code step by step in its executable order and making sure that each part of your code works fine is the way you should go about it.

Watch this Python Interview Questions video.

Tip #4: Try to build some small projects

Always try to make up a small project for each concept. This python tutorial will help you build confidence for writing Python programs, as well as this will help you develop the muscle memory. Once you have a solid foundation on the basic data structures (Python Dictionaries, Python Strings, Python sets, Python Lists, etc.), object-oriented programming, and writing classes, you will be ready to deploy these programming concepts in real life. Keep writing small codes to keep your concepts clear while learning through this Python Tutorial.

Tip #5: Contribute to open source

Python is an open-source language which means that its source code is available for the public to download, use, and modify. Anyone can collaborate and be an active member of Python community. You have access to the code written and produced by big companies. Working with these codes will be a very valuable learning experience. You can even reach out for other community members whenever you hit a bug in your coding.

For the best of career growth, check out Intellipaat’s Python Course in Sydney and get certified!

Intellipaat is providing free Python Interview Questions and Answers, which will help you excel in your career!

Originally published at www.intellipaat.com on August 24, 2019

[kdeven57-blog]

In this Apache Hadoop tutorial you will learn Hadoop from the basics to pursue a big data Hadoop job role. Through this tutorial you will know the Hadoop architecture, its main components like HDFS, MapReduce, HBase, Hive, Pig, Sqoop, Flume, Impala, Zookeeper and more. You will also learn Hadoop installation, how to create a multi-node Hadoop cluster and deploy it successfully. Learn Big Data Hadoop from Intellipaat Hadoop training and fast-track your career.

Hadoop Tutorial – Learn Hadoop from Experts

In this Apache Hadoop tutorial you will learn Hadoop from the basics to pursue a big data Hadoop job role. Through this tutorial you will know the Hadoop architecture, its main components like HDFS, MapReduce, HBase, Hive, Pig, Sqoop, Flume, Impala, Zookeeper and more. You will also learn Hadoop installation, how to create a multi-node Hadoop cluster and deploy it successfully. Learn Big Data Hadoop from Intellipaat Hadoop training and fast-track your career.

Overview of Apache Hadoop

As Big Data has taken over almost every industry vertical that deals with data, the requirement for effective and efficient tools for processing Big Data is at an all-time high. Hadoop is one such tool that has brought a paradigm shift in this world. Thanks to the robustness that Hadoop brings to the table, users can process Big Data and work around it with ease. The average salary of a Hadoop Administrator which is in the range of US$130,000 is also very promising.

Become a Spark and Hadoop Developer by going through this online Big Data Hadoop training!

Watch this Hadoop Tutorial for Beginners video before going further on this Hadoop tutorial.

Apache Hadoop is a Big Data ecosystem consisting of open source components that essentially change the way large datasets are analyzed, stored, transferred and processed. Contrasting to traditional distributed processing systems, Hadoop facilitates multiple kinds of analytic workloads on same datasets at the same time.

Qualities That Make Hadoop Stand out of the Crowd

Single namespace by HDFS makes content visible across all the nodes

Easily administered using High-Performance Computing (HPC)

Querying and managing distributed data are done using Hive

Pig facilitates analyzing the large and complex datasets on Hadoop

HDFS is designed specially to give high throughput instead of low latency.

Interested in learning Hadoop? Click here to learn more from this Big Data Hadoop Training in London!

What is Apache Hadoop?

Apache Hadoop is an open-source data platform or framework developed in Java, dedicated to store and analyze the large sets of unstructured data.

With the data exploding from digital mediums, the world is getting flooded with cutting-edge big data technologies. However, Apache Hadoop was the first one which caught this wave of innovation.

 Recommended Audience 

Intellipaat’s Hadoop tutorial is designed for Programming Developers and System Administrators

Project Managers eager to learn new techniques of maintaining large datasets

Experienced working professionals aiming to become Big Data Analysts

Mainframe Professionals, Architects & Testing Professionals

Entry-level programmers and working professionals in Java, Python, C++, eager to learn the latest Big Data technology.

 If you have any doubts or queries related to Hadoop, do post them on Big Data Hadoop and Spark Community!

Originally published at www.intellipaat.com on August 12, 2019