This FileMaker Pro 12 training course from Infinite Skills introduces you to the basics of managing your data with the FileMaker Pro database. FileMaker 12 is a very popular cross-platform, relational database application that is known for its easy of use, and powerful, feature set. This video based tutorial is designed for the beginner, and no previous experience in database design or FileMaker is required. You will start by exploring what a relational database is, and why you should use it. This course then takes you through the initial steps of building your interface using the FileMaker layout tools. You will learn how to work with your data - how to enter it, find it, and format it. The course also teaches you database design fundamentals, to ensure the integrity of your data. Other topics that are covered in this video tutorial for FileMaker Pro include; automating functions, using calculations with your data, identifying and using different relationship techniques, and of course, deploying your data. Once you have completed this FileMaker Pro 12 beginners training course, you will have a clear understanding of what a relational database is and how you can create your database with FileMaker. You will understand how to create a basic interface for entering and accessing your data, and how to deploy your completed database. Working files are included, allowing you to follow along with the author throughout the lessons.

In many data centers, different type of servers generate large amount of data(events, Event in this case is status of the server in the data center) in real-time. There is always a need to process these data in real-time and generate insights which will be used by the server/data center monitoring people and they have to track these server's status regularly and find the resolution in case of issues occurring, for better server stability. Since the data is huge and coming in real-time, we need to choose the right architecture with scalable storage and computation frameworks/technologies. Hence we want to build the Real Time Data Pipeline Using Apache Kafka, Apache Spark, Hadoop, PostgreSQL, Django and Flexmonster on Docker to generate insights out of this data. The Spark Project/Data Pipeline is built using Apache Spark with Scala and PySpark on Apache Hadoop Cluster which is on top of Docker. Data Visualization is built using Django Web Framework and Flexmonster.

MongoDB is one of the most important NoSQL databases you can work with these days. It's extremely popular and MongoDB developers are in high demand . No matter if you're building web applications, mobile applications or any other kind of application or if you're a data scientist - you'll need to work with data. Storing data, querying it efficiently and minimizing complexities whilst optimizing performance are crucial tasks. MongoDB makes working with data simple - it's built on a philosophy that prioritizes performance and efficiency. In this course, you'll learn all about MongoDB from scratch. No prior MongoDB or database experience is required! In detail, you'll learn: ... how to install and use MongoDB locally and in the cloud (MongoDB Atlas) ... how to perform CRUD (Create, Read, Update, Delete) operations on MongoDB databases ... how to filter for data efficiently ... how to work with both the Mongo Shell and drivers (e.g. Node.js driver) ... how to increase performance by using indexes (and how to use the right indexes!) ... how to use the amazing "Aggregation Framework" that's built into MongoDB ... what replica sets and sharding are ... how to use MongoDB Atlas - the cloud solution offered by MongoDB ... how to use the serverless platform (Stitch) offered by MongoDB ... and much more! This course is a hands-on course - you'll learn by writing code/ commands. We'll work on a wide variety of example data and use-cases and by the end of the course, you'll have all the knowledge you need to work with MongoDB in your next project! This course is for you, no matter which programming language you plan on using , you'll learn a uniform way of interacting with MongoDB that can be easily applied to any language. This course is for you: ... if you're brand-new to MongoDB and databases in general ... if you got some basic database or even MongoDB experience - in this course, there are different entry points you can choose from! ... if you are a web or mobile app (or desktop app) developer who considers using MongoDB ... if you're working in a team that considers using MongoDB (or already does use it) ... if you are primarily using SQL-based databases so far and you want to explore the most popular NoSQL alternative This course is NOT for you: ... if you're looking for a guide on administrating MongoDB servers => This course focuses on the commands/ queries you write, it's NOT an administration course. I will show (in detail) how to deploy a ready-to-use cloud MongoDB solution that follows best practices though.

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!

Do you want to learn a skill that can help you earn nearly $100,000 per year? If so, then this course is for you! SQL ( S tructured Q uery L anguage) is the language we use to interact with databases that store data. This allows us to retrieve data with ease and simplicity. As terms like business intelligence and big data become more familiar, businesses will need more people to learn the SQL language. This course will teach you how to use the SQL language within Microsoft SQL Server, one of the most popular database engines in the world. You will have plenty of video lessons to teach you the majority of the content. Each section includes practice problems or additional e-books to help reinforce what you learn in the video tutorials.

New! Completely updated and re-recorded for Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API. “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, and you'll be learning from an ex-engineer and senior manager from Amazon and IMDb. Spark works best when using the Scala programming language, and this course includes a crash-course in Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available: "Taming Big Data with Apache Spark and Python - Hands On". 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. Learn the concepts of Spark's Resilient Distributed Datasets, DataFrames, and Datasets. Get a crash course in the Scala programming language Develop and run Spark jobs quickly using Scala, IntelliJ, and SBT 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 Practice using other Spark technologies, like Spark SQL, DataFrames, DataSets, Spark Streaming, Machine Learning, 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. 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 SpiderMan? 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. over 8 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. Enroll now, and enjoy the course! "I studied Spark for the first time using Frank's course "Apache Spark 2 with Scala - Hands On with Big Data!". It was a great starting point for me,  gaining knowledge in Scala and most importantly practical examples of Spark applications. It gave me an understanding of all the relevant Spark core concepts,  RDDs, Dataframes & Datasets, Spark Streaming, AWS EMR. Within a few months of completion, I used the knowledge gained from the course to propose in my current company to  work primarily on Spark applications. Since then I have continued to work with Spark. I would highly recommend any of Franks courses as he simplifies concepts well and his teaching manner is easy to follow and continue with!  " - Joey Faherty

Apache Spark Multiple Choice Question Practice Test for Certification (Unofficial)  Course is designed for Apache Spark Certification Enthusiast " This is an Unofficial course and this course is not affiliated, licensed or trademarked with Any Spark Certification in any way." Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Scala! One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark ! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems! Spark can perform up to 100x faster than Hadoop MapReduce , which has caused an explosion in demand for this skill! Because the Spark 3.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market! Useful for CRT020: Databricks Certified Associate Developer for Apache Spark 2.4 with Scala 2.11 – Assessment This course offers you practice tests comprising of Most Expected Questions for Exam practice, that mimics the actual certification exam, which will help you get prepared for the main exam environment. It will help you prepare for certification by providing sample questions. This will boost your confidence to appear for certification and also provides you with sample scenarios so that you are well equipped before appearing for the exam. Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and / or interview questions.

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.