Big Data
Introduction to Hbase
Hbase is an open source and distributed column-oriented database .It is designed on Hadoop. It is horizontally scalable. It is same as Google's Big Table.Hbase provides fast random access to large amounts of structured data . It has set of tables which provides data in key value format. Hbase is best for sparse data sets which are very common in big data use cases. Hbase provides APIs enabling...
Step By Step Guide To Install Hadoop On Windows
Before you start the process of installing and configuring Hive, it is necessary to have the following tools available in your local environment.
Apache Hive
Hive is an ETL and data warehouse tool which is used to process and analyze structured data. It is developed on the top of Hadoop. It was developed by Facebook, later Apache Software Foundation took it up and developed it further as an open source .It is used by many companies. Example: Amazon uses it in Amazon Elastic MapReduce. Hive makes job easy for performing operations like Data Encaplsula...
Big Data and its Types
Big Data Big Data may be a collection of knowledge that’s huge in volume. It is a knowledge with so large size and complexity. Examples Of Big Data: The New York Stock Exchange: It generates about one terabyte of latest trade data per day. Social Media 500+terabytes of latest data get ingested into the databases of social media site Facebook, every day. Types of Big Data: Structured Any data...
Backup and Restore of Postgre DB in Windows
Step-by-step guide to backup and restore of PostgreSQL database in windows.
How Do Big Data Analytics and AI Work Together
Big Data Analytics provide real time live data reports which can help to solve problems related to data redundancy. AI created post can help to leverage more enhanced context with conceptual approach by making smart data driven decisions to uplift an organization.
How Organizations Benefit from Using Analytics on Cloud
AI-driven big data analytics on Cloud is ideal for every organization that is seeking to expand its businesses without increasing costs.
Understanding Data Visualization
Images have the power to transcend language barriers. They have the ability to convey complex ideas to the masses, and we know this because we’ve seen it in things such as hieroglyphics and medieval paintings. And while technology has made communication somewhat “easier,” being able to translate research or business data can be difficult without a visual representation. This is why the use of data...
Big Data MapReduce
What is MapReduce? MapReduce is a programming model and an associated implementation to process and generate large datasets with distributed and parallel algorithms on a cluster. Based on Java, it is a programming model and a processing technique for the purpose of distributed computing. There are two important tasks in the MapReduce algorithm, which are Map and Reduce: Map works by taking a datas...
Machine Learning: Types and Important techniques
There has been an acceleration on the work of Machine Learning (ML) in the recent years. Machine Learning has the ability to interpret, mine and analyze large files because of which many machine learning techniques have been applied to many fields of work like biometrics, image processing etc. However, the full potential of machine learning to efficiently help in biometrics has still not been ide...
Working with Hadoop, its Components and Concepts
Big Data is one of the emerging technologies helps in better decision making and strategic business moves. It’s not the amount of data, but how a business uses it matters. Analysis of Hadoop Apache Hadoop is a free, Java – based programming framework that offers support to processing of large data sets in a distributed computing environment. It is an open – source framework that allows saving and...
What makes Big Data Big?
Big data is the data that is almost impossible to process using traditional methods, like a single computer, because there’s so much of it and generated so quickly, in many different formats. Big Data analytics tools can predict outcomes accurately, thereby, allowing businesses and organizations to make better decisions, while simultaneously optimizing their operational efficiencies and redu...
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