Top 6 Trending Big Data Analysis Tools Today
Explore six popular big data analytics tools currently trending in the industry. From Presto and Hadoop to NoSQL and Excel integration, these tools enable organizations to efficiently analyze vast and complex datasets to support strategic decision-making. Perfect for enterprises seeking scalable and flexible data solutions.
Organizations across various industries amass vast quantities of data daily. Effectively analyzing this data is crucial for informed decision-making and strategy evaluation. This collection of valuable information is known as big data, encompassing both structured and unstructured formats. To handle such diverse datasets efficiently, companies rely on specialized analytics tools. Here are six leading tools currently favored for big data analysis:
Presto
Developed by Facebook, Presto is an SQL-based query engine that became open source in 2013. Companies like Netflix, Airbnb, and Teradata utilize it for data exploration. Capable of handling petabyte-scale data, Presto offers rapid data retrieval from multiple sources, enabling comprehensive analysis across diverse systems.
Apache Hadoop
This widely-used open-source framework efficiently processes large-scale data using distributed computing. Built on Java, Hadoop is popular in sectors like banking and finance, where it leverages extensive computer networks to analyze vast data pools locally.
PolyBase
PolyBase facilitates querying both relational and non-relational data, making it ideal for integrating data from systems such as Hadoop, Azure Data Lake Storage, and Azure Blob Storage. Its benefits include flexible storage options, scalable performance, and strong security features.
Hive
Operating atop Hadoop, Hive simplifies managing distributed datasets, using HSQL (HiveSQL), a language similar to SQL. It is particularly useful for data mining tasks within Hadoop environments.
NoSQL
Given that much big data is unstructured, NoSQL databases are essential for effective storage and querying. They outperform traditional databases in speed and capacity, providing scalable solutions for handling massive unstructured datasets. Open-source options allow customization for specific organizational needs.
Big Data in Excel
Excel 2013 enables connection to Hadoop-stored data via Hortonworks’ Apache Hadoop platform. Features like Power View facilitate summarizing and analyzing large datasets directly within Excel, enhancing data accessibility for users.
