NoSQL Databases: Modern Data Systems for Big Data Analytics

نویسندگان

چکیده

Because of the massive utilization world wide web and drastic use electronic gadgets to access online world, there is an exponential growth in information produced by these hardware gadgets. The data different sources, such as smart transportation, healthcare, e-commerce, are large, complex, heterogeneous. Therefore, storing querying this data, coined "Big Data," challenging. This paper compares relational databases with a few popular NoSQL databases. performance various executing join queries, filter aggregate queries on large datasets compared single node multinode clusters. experimental results demonstrate suitability for Big Data Analytics supporting userbase interactive applications.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection

Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....

متن کامل

NoSQL Database: New Era of Databases for Big data Analytics - Classification, Characteristics and Comparison

Digital world is growing very fast and become more complex in the volume (terabyte to petabyte), variety (structured and un-structured and hybrid), velocity (high speed in growth) in nature. This refers to as ‘Big Data’ that is a global phenomenon. This is typically considered to be a data collection that has grown so large it can’t be effectively managed or exploited using conventional data ma...

متن کامل

Modern Data Formats for Big Bioinformatics Data Analytics

Next Generation Sequencing (NGS) technology has resulted in massive amounts of proteomics and genomics data. This data is of no use if it is not properly analyzed. ETL (Extraction, Transformation, Loading) is an important step in designing data analytics applications. ETL requires proper understanding of features of data. Data format plays a key role in understanding of data, representation of ...

متن کامل

Application of Big Data Analytics in Power Distribution Network

Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...

متن کامل

Data Modeling for NoSQL Document-Oriented Databases

In database technologies, some of the new issues increasingly debated are non-conventional applications, including NoSQL (Not only SQL) databases, which were initially created in response to the needs for better scalability, lower latency and higher flexibility in an era of bigdata and cloud computing. These non-functional aspects are the main reason for using NoSQL database. However, currently...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International journal of electrical and computer engineering systems

سال: 2023

ISSN: ['1847-6996', '1847-7003']

DOI: https://doi.org/10.32985/ijeces.14.2.10