Big Data Analytics Articles - Page 88 of 135

To re-map the fields of a MongoDB collection, use update() along with $rename. Let us first create a collection with documents −> db.demo171.insertOne( { "Name": "Chris", "Details": { "SubjectName": "MySQL", "CountryName": "US" } } ); {    "acknowledged" : true,    "insertedId" : ObjectId("5e3837 399e4f06af551997e0") }Display all documents from a collection with the help of find() method −> db.demo171.find();This will produce the following output −{ "_id" : ObjectId("5e3837399e4f06af551997e0"), "Name" : "Chris", "Details" : { "SubjectName" : "MySQL", "CountryName" : "US" } }Following is the query to re-map the fields of a MongoDB collection −> db.demo171.update({}, { $rename : { 'Name' ... Read More

Primary KeyPrimary Key is a column that is used to uniquely identify each tuple of the table.It is used to add integrity constraints to the table. Only one primary key is allowed to be used in a table. Duplicate and NULL (empty) values are not valid in the case of the primary key. Primary keys can be used as foreign keys for other tables too.Let’s take an example, We have a table name employee which stores data of employees of a company. The below table shows the contents of the table.Emp_idNamePh_No.PositionSalaryEmp_id here is primary key of the table. As the ... Read More

When it comes to two of the most talked about technologies in present times, Big Data and Internet of Things (IoT) are perhaps right at the helm. And over the last few years, Big Data has made progress in numerous domains. And although Internet of Things happens to be different, it is massively linked to Big Data.What is Big Data?Big Data is essentially a large amount of data that is in complex form. Specifically, it also refers to the use of predictive analysis and methods that allows extraction of valuable information from such data. This allows better decision making, reduction ... Read More

Data Lake and Data Warehouse both are used for storing big data. A Data Lake is a very big storage repository which is used to store raw unstructured data, machine to machine, logs flowing through in real-time. The purpose of the stored data is not defined in a data lake. They are stored for future analysis of the data. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose. A Data warehouse collects the data from multiple sources and transforms the data using ETL process, then loads it to the Data ... Read More

Big Data is everywhere and there is an urgent need to collect and preserve whatever data has been generated. We also find that there is a greater fear of missing something, which is important. Big Data Analytics has become crucial, it helps improve business, decision making and offers the biggest edge over the competitors.What does the term Big Data mean?The term big data can be described as something large volume of data which is both structured and unstructured, that inundates a business on a day-to-day basis. Data is available everywhere but how can organizations capitalize on that is the big ... Read More

Technology is pervading into all aspects of real estate, making its functioning easier and quicker. And with the rising need to manage client demands, converting leads into sales, along with the requirement for broad property research, it is becoming all the more imperative to make use of multifaceted technologies that aid in causing consequential changes in the real estate business.Over the last few years, along with the emergence of new technologies, the existing ones have also witnessed a turnaround with added features to support the increasing requirements. These include a larger usage of precast construction, building information modeling process offering ... Read More

As we know that in order to maintain the Big data and to get the corresponding reports in different ways from this data we use Hadoop which is an Open Source framework from Apache Software Foundation based on Java Programming Language.Now Apache introduces the next version of Hadoop which named as Hadoop 2 so as this post is focusing on differences between both of these versions.Following are the main differences between Hadoop 1 and Hadoop 2.Sr. No.KeyHadoop 1Hadoop 21New Components and APIAs Hadoop 1 introduced prior to Hadoop 2 so has some less components and APIs as compare to that ... Read More

Large volumes of structured and unstructured data are essentially referred to as ‘Big Data;’ and is produced by almost all sources around us such as social media exchange, digital processes, mobile devices, sensors etc. Big Data provides insights into patterns, trends, and correlations with other entities in the business world. Big Data swamps businesses on a regular daily basis, and due to the speed and accuracy with which it is analyzed, it leads to enhanced and accurate decisions via tactical business steps. As it is variable and complex and comes from various sources, it is imperative to connect it and ... Read More

Given ‘n’ numbers the task is to generate the Fibonacci numbers in PL/SQL starting from 0 to n, where the Fibonacci series of integers is in the form 0, 1, 1, 2, 3, 5, 8, 13, 21, 34 Where integers 0 (1st place) and 1 (2nd place) will have a fixed place after that, the previous two digits will be added to get the integer of the next place as shown below. 0+1=1 (3rd place) 1+1=2 (4th place) 2+1=3 (5th place) and So on. Formula Sequence F(n) ... Read More

The process to alter the structure of a database is basically categorized into two ways, one is Normalization and the other is Denormalization. The basic difference between normalization and denormalization is that the database normalization removes the redundancy of data and anomalies in a poorly designed table, while denormalization combines multiple table data into one so that it can be queried quickly. Read through this article to find out more about normalization and denormalization and how they are different from each other. What is Normalization? Normalization is used to remove redundant data from the database and to store non-redundant and ... Read More