'This Course covers SQL using Microsoft SQL Server 2019 and you can apply the logic of these SQL queries in Oracle, MySql, PostgreSQL, Microsoft Access, SQLite, MongoDB, IBM DB2, Redis, ElasticSearch, Cassandra, Splunk, MariaDB, Teradata, Hive, Solr, HBase, FileMaker, SAP HANA, Amazon DynamoDB, SAP Adaptive Server, Neo4J, CouchBase, Memcached, and Microsft Azure SQL'. "Welcome to the most popular Quality complete Course on Microsoft SQL Server(MS SQL Server)" Covers different forms of SELECT Statements Explains how to filter the Records All the Arithmetic operators are explained NULL Values are explained Beautiful examples of all the operators ORDER BY, GROUP BY, HAVING clauses has examples in detail The course covers all the Aggregate Functions and other Functions UNION and JOINs are explained with real-life examples I have explained all types of Joins Data types used in Microsoft SQL Keys and Constraints are explained in detail ====================================================================================== Join this course which is the best "Microsoft SQL" course. I will share all the syntax of SQL with multiple examples along the way!!! Want to start learning SQL from scratch with no previous coding experience? You have come to the right place. Please have a look at the Course content carefully and ask a few questions from yourself? I have shared all the codes which are used in this course Is the Course taught by a real-time expert? I have more than 15  years of experience as an Instructor and more than 10 years of experience in SQL . I firmly believe that if an Instructor does not have a good experience, he/she will flood the course with poor content. Is the Course content clear and Precise? The content is short, crisp, and clear. The course assumes no prior knowledge on MS SQL(Microsoft SQL Server) and teaches you from scratch to advanced level Once you Enroll for this Course, you get lifetime access to this course and you will get all the future updates. The course does not cover T-SQL directly but it will help you to learn T-SQL also. This will also help you to get Microsoft certification . This Course is not for DBA(Database Administration) but certainly, helps you to become better. If you plan to work with other databases like Oracle , MySQL , SQLite , PostgreSQL , etc, it will be extremely helpful. If you are a data scientist ( Data Analysis role ) or willing to become a data scientist, then SQL is a must and this course helps in data analytics . Do you want to start on SQL but have no experience with SQL? If you have some prior knowledge of SQL or if you are a complete fresher, you are at the right place. The Course teaches you to SQL right from Scratch. It will be the best course for absolute beginners. There’s no risk involved in taking this Course! I am sure that this is the best complete course on SQL and it is the perfect starting point to master complete Microsoft SQL. What if you are stuck? I personally answer all the questions which are asked here. If you are stuck anywhere, ask a question or you can message me directly and I will answer all your doubts. Are you getting updated content? Yes, I keep updating the content always to make sure, I provide all the information to my students. Once you enroll for this course, you will master these concepts in detail- 1) Selecting Records from Table - SELECT statement in SQL 2) Filtering the Records - Using WHERE clause in SQL 3) Sorting Records - Using ORDER BY clause 5) Grouping data - using GROUP BY clause 6) complete guide with examples of all the Functions - All aggregate functions covered 7) Creating simple and advanced Tables - with constraints and without constraints 8) Keys , Index - PRIMARY KEY , FOREIGN KEY , UNIQUE INDEX 9) Inserting records(loading) - with INSERT Statement 10) Updating the records of a Table - Using UPDATE statement 11) Combining multiple tables - Using UNIONS 12) Joining multiple columns of different tables - Using JOINs 13) Modify table properties - ALTER statement 14) Deleting records from the table - DELETE statement 15) Removing tables from the database permanently - DROP statement Note : This course helps to learn Microsoft SQL using Microsoft SQL Server 2019 but you can also use Microsoft SQL Server 2012, Microsoft SQL Server 2016, Microsoft SQL Server 2017, etc. It will also help to learn SQL in Oracle, MySql, PostgreSQL, Microsoft Access, SQLite, MongoDB, IBM DB2, Redis, ElasticSearch, Cassandra, Splunk, MariaDB, Teradata, Hive, Solr, HBase, FileMaker, SAP HANA, Amazon DynamoDB, SAP Adaptive Server, Neo4J, CouchBase, Memcached, and Microsft Azure SQL'.

Take my Course and get a " 100 page E-Book " that I developed for this course ! It is all Yours which goes with each lesson we study. You can also print each lesson page off and make your own Physical book. Cool - right ? This is one great addition that I added that not only benefits this course, but is very beneficial for you. Your own 100 page book. Please, read on about my course. Ready to make a little change in your life and become a big Winner with a new Career? Would " You " like to be the Best Oracle SQL Developer , Oracle SQL Database Administrator , or work with similar Oracle SQL Type Jobs ? Start my Course, and I can assure that you will not only be very satisfied, but you will gain the best knowledge one needs to really know SQL . You will also have wonderful self-confidence to work with SQL. This course is for the Beginner to Intermediate to even Advanced Users who desire to brush up on their skills. You can Learn this Course in a matter of 4 to 6 Weeks only. Please, read the following and more: My course serves you with clear Video and audio, and each lesson has Documents. Each Document has all the Code we input into SQL Developer. You can also create your Own E-Book with each of these Documents and even print them off after each lesson and have a Physical Book. Either way, you get a " 100 page E-Book" with this course. This is a .pdf book that is only available for you - Students that sign up for my course. The is a major plus for students. Also, unlike so many other SQL courses, you will learn to Code in SQL Developer and in the Command Promp t. Coding is the main ingredient you Must learn. This is Very Important for your Skills in Development and Trouble Shooting. So, In this course, we will do Plenty of Coding and Trouble shooting to learn to Master Oracle SQL. Coding is FUN !! That's my motto.   Read on.......... Now, Did you realize that those with Oracle SQL jobs make a Wonderful, and Outstanding Living ? Trust me, they do! Starting Salaries are $60,000.00, and you can move up to $125.000.00 or more. Oracle is the Market-Leading Database Management System as of this writing. Today, companies and their services handle thousands of concurrent Requests. Oracle can handle these Requests, and can store much more Data today than years ago. So, "You" can make a wonderful living if you have the passion and determination of learning, studying, and advancing in my SQL course. Oracle SQL is a very High Demand Skill in most all Company Organizations. You will hardly find companies that do not use Oracle as their Database Platform. Trust me - Oracle Jobs are out there and their waiting on you !! It's your Chance, now ! You can Preview some of my videos here to see whether you would like to invest your time in my course. I believe you will like what you see, and will want to sharpen up your skills and lively hood. Do yourself a favor and get started today. My price is VERY REASONABLE with all you learn and receive from it. So, jump on board and journey into the powerful World of Oracle SQL ! Sincerely,   James Riggs

Course Description When you build web applications, persistence of application data is very important. You can define the data model of your Go applications using structs, in which you can program against the structs for working with application data, but you need persistent storage for your application data. This course shows you how to persist application data into MongoDB, which is a popular NoSQL database. This course covers the following: • Introduction to MongoDB • You will know how insert documents • You will know how read documents • You will know how update documents • You will know how delete documents • You will know how create indexes The Go programming language can be simply described in three words: simple, minimal, and pragmatic. If you look deeply into the language design of Go, you see its simple and minimalistic approach, coupled with a pragmatic design. You can observe this simplicity with all the Go language features, including the type system. Today, many programming languages provide too many features that make applications more complex for developers. The design goal of Go is to be a simple and minimal language that provides all the necessary features for developing efficient software systems. What are the requirements? A familiarity of programming in Golang. A familiarity of Linux or OSx A familiarity of MongoDB What am I going to get from this course? Learned how to persist data into MongoDB using the mgo package, which is a MongoDB driver for Go. What is the target audience? Big Data professionals who want to MongoDB and Golang. IT professionals and managers who want to understand and learn this hot new technology

Mongodb is a one of the most popular NO-SQL database management system today. As against the traditional RDBMS, it stores the data in an unnormalized way, in binary JSON format. Mongodb is an open source document database. The name is derived from Hu mongo us DB . This falls into the category of NO-SQL databases. The data in Mongodb is stored in an un-normalized format, as a collection of documents. A collection in Mongodb is equivalent of a table in RDBMS and a document is equivalent of a record. However, unlike a record, a document need not have the same structure as other documents in the same collection. All the best!

LAST UPDATED: November 2020 (Source Code Included for Lectures) Get ready to acquire some seriously marketable programming skills! You can't consider yourself a complete end to end developer until you can code in SQL. Today, data has become the hottest topic in technology and a company's biggest asset is their data. All databases require the language SQL to store and retrieve data. Salaries for junior level SQL Developers are upwards of $70,000 - $90,000 dollars a year! The great thing is, for this course, you do not need any prior experience in programming what so ever. SQL is a different animal and we're going to demystify the language from scratch and prepare you with plenty of progressively challenging assignments so that by the time you've completed the course (in 2 months), you can call your self an Oracle SQL Master! Oracle is the most popular relational database in the world! This course will prepare you to be job-ready in just 1 month of study and practice. All exercises and solutions are in the lectures. In several lectures I ask students to pause the video and complete the assignment before resuming to watch my solution. MAKE SURE YOU WORK OUT THE PROBLEMS ON YOUR OWN BEFORE MOVING ON TO MY SOLUTION!! With over 62,000 enrolled students and a 4.5 star-rating, this is a Udemy best-selling course. Do you have no prior experience in SQL development? This course is perfect for you. Don't take it from me, take it from actual students that took this course: " I am a beginner and the way this course starts is perfect for the person who has no introduction of SQL or Oracle." Do you have prior experience, but need a refresher or to fine-tune your skills? This is the course for you. Again, I'll let my students do the talking: " I had a good base of knowledge from my last employment. This course is constantly proving useful to supercharge my actual knowledge base . Very good one! " Have you taken a SQL course before, but felt confused on certain topics or not completely satisfied in your abilities? A lot of my students had shared similar concerns: " I had previously taken a college course about databases and SQL, but these ten hours of content were more clear and useful than the course and textbook." Topics covered in this course : Basics of Tables SELECT and WHERE Clause WHERE, AND & OR with Operators BETWEEN, IN and NULL Single Table Queries Single Row Functions Grouping Functions GROUP BY and HAVING Clause Joins Inner and Outer Joins EXISTS & NOT EXIST Operators Creating Your Own Tables Using ALTER Creating Tables with SELECT & UPDATE Data DELETE, TRUNCATE, and DROP Commands System Tables, Pseudo Columns & Deleting Duplicates (Newly Added) Views and Other Objects and Commands (Newly Added)

Welcome to Natural Language Processing (NLP) Interview Test Series We have created these real-time full practice tests based on our real interview experience. With the help of these practice test you would be able to clear your NLP interview in first attempt. This is the most comprehensive Test Series online to help you ace your Data Science/Natural Language Processing interviews!

New! Updated for Spark 3, more hands-on exercises, and a stronger focus on DataFrames and Structured Streaming. “Big data" analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark . Employers including Amazon , EBay , NASA JPL , and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think. Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course. You'll be learning from an ex-engineer and senior manager from Amazon and IMDb. Learn the concepts of Spark's DataFrames and Resilient Distributed Datastores Develop and run Spark jobs quickly using Python Translate complex analysis problems into iterative or multi-stage Spark scripts Scale up to larger data sets using Amazon's Elastic MapReduce service Understand how Hadoop YARN distributes Spark across computing clusters Learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX By the end of this course, you'll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes. This course uses the familiar Python programming language ; if you'd rather use Scala to get the best performance out of Spark, see my "Apache Spark with Scala - Hands On with Big Data" course instead. We'll have some fun along the way. You'll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you've got the basics under your belt, we'll move to some more complex and interesting tasks. We'll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We'll analyze a social graph of superheroes, and learn who the most “popular" superhero is – and develop a system to find “degrees of separation" between superheroes. Are all Marvel superheroes within a few degrees of being connected to The Incredible Hulk? You'll find the answer. This course is very hands-on; you'll spend most of your time following along with the instructor as we write, analyze, and run real code together – both on your own system, and in the cloud using Amazon's Elastic MapReduce service. 7 hours of video content is included, with over 20 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX. Wrangling big data with Apache Spark is an important skill in today's technical world. Enroll now! " I studied "Taming Big Data with Apache Spark and Python" with Frank Kane, and helped me build a great platform for Big Data as a Service for my company. I recommend the course!  " - Cleuton Sampaio De Melo Jr.

MongoDB makes it possible to store and process large sets of data in ways that increase business value. The flexibility of unstructured, schema-less, storage, combined with robust querying and post-processing functionality, make MongoDB a compelling solution for enterprise big data needs. We need to discuss database schemas. Yes, MongoDB is touted as schema-less but here's where we show that proper design is what allows our collections to scale. Indexing is something everyone talks about, but few understand. We'll explain MongoDB indexing, and index properties because a successful indexing strategy is a key to performance and scaling. Finally, we'll talk about CRUD commands from the MongoDB client and how to write effective queries. Taking this course will help you understand supported standards and data types in MongoDB, and best practices to design collections to scale and index them. Also, you will learn some basic CRUD commands. About the Author Micheal Shallop started programming in 1981 on a Tandy TRS-80 Model 1 and hasn't stopped since. He graduated in 1991 from Oklahoma State University with an Honors degree in Computer Science. In his career, he's coded in many programming languages and has used a variety of databases, relational and otherwise. He was the technical author of a patent awarded in 2011 for his work on real-time data collection, aggregation and forecasting in a conventional (automotive) business. He is currently working for designing and writing a back-end, event-driven, object-oriented, data-agnostic framework utilizing AMQP as the data transport vector and PHP 7.1 as the primary language. He has been programming in PHP for MongoDB since 2010 and has been the architect of several systems, mostly back-end frameworks. Micheal is interested in anything with a programming language behind it. Most recently, he has been experimenting with Arduino, programming on the Raspberry Pi, and writing a social media site in Python. He is also technically skilled in RabbitMQ, general database tech, Python, C/C++, Linux

This Oracle 11g video based training course from Infinite Skills will teach you the basics of operating an Oracle Database server and environment. You will also discover the basics of how to manage and develop for an Oracle Database, and administer one. This tutorial is designed for the beginner. This training will teach you the basics of what it means to administer an Oracle Database. Throughout the training, you will be able to better understand the path you can continue on from here, whether that is to become a DBA, developer or administrator of Oracle Databases. You will learn about processes and architectural concepts of a database. This video training also covers topics such as storage, data modelling, basic SQL, database tasks, and how all of these apply specifically to Oracle Databases. By the completion of this video tutorial, you will have a fundamental understanding of how an Oracle Database server and environment function, as well as how database concepts apply specifically to an Oracle Database. Working files are included to assist you as you work through this computer software training course.

Apache Spark Started as a research project at the University of California in 2009, Apache Spark is currently one of the most widely used analytics engines. No wonder: it can process data on an enormous scale, supports multiple coding languages (you can use Java, Scala, Python, R, and SQL) and runs on its own or in the cloud, as well as on other systems (e.g., Hadoop or Kubernetes). In this Apache Spark tutorial, I will introduce you to one of the most notable use cases of Apache Spark: machine learning. In less than two hours, we will go through every step of a machine learning project that will provide us with an accurate telecom customer churn prediction in the end. This is going to be a fully hands-on experience, so roll up your sleeves and prepare to give it your best! First and foremost, how does Apache Spark machine learning work? Before you learn Apache Spark, you need to know it comes with a few inbuilt libraries. One of them is called MLlib. To put it simply, it allows the Spark Core to perform machine learning tasks – and (as you will see in this Apache Spark tutorial) does it in breathtaking speed. Due to its ability to handle significant amounts of data, Apache Spark is perfect for tasks related to machine learning, as it can ensure more accurate results when training algorithms. Mastering Apache Spark machine learning can also be a skill highly sought after by employers and headhunters: more and more companies get interested in applying machine learning solutions for business analytics, security, or customer service. Hence, this practical Apache Spark tutorial can become your first step towards a lucrative career! Learn Apache Spark by creating a project from A to Z yourself! I am a firm believer that the best way to learn is by doing. That’s why I haven’t included any purely theoretical lectures in this Apache Spark tutorial: you will learn everything on the way and be able to put it into practice straight away. Seeing the way each feature works will help you learn Apache Spark machine learning thoroughly by heart. I will also be providing some materials in ZIP archives. Make sure to download them at the beginning of the course, as you will not be able to continue with the project without it. And that’s not all you’re getting from this course – can you believe it? Apart from Spark itself, I will also introduce you to Databricks – a platform that simplifies handling and organizing data for Spark. It’s been founded by the same team that initially started Spark, too. In this course, I will explain how to create an account on Databricks and use its Notebook feature for writing and organizing your code. After you finish my Apache Spark tutorial, you will have a fully functioning telecom customer churn prediction project. Take the course now, and have a much stronger grasp of machine learning and data analytics in just a few hours! Spark Machine Learning Project (Telecom Customer Churn Prediction) for beginners using Databricks Notebook (Unofficial) (Community edition Server) In this Data Science Machine Learning project, we will create Telecom Customer Churn Prediction Project using Classification Model Logistic Regression, Naive Bayes and One-vs-Rest classifier few of the predictive models. Explore Apache Spark and Machine Learning on the Databricks platform. Launching Spark Cluster Create a Data Pipeline Process that data using a Machine Learning model (Spark ML Library) Hands-on learning Real time Use Case Publish the Project on Web to Impress your recruiter Graphical  Representation of Data using Databricks notebook. Transform structured data using SparkSQL and DataFrames Telecom Customer Churn Prediction a Real time Use Case on Apache Spark About Databricks: Databricks lets you start writing Spark ML code instantly so you can focus on your data problems.