Top 15 Best Big Data Tools of 2020 (Part 2)

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In the article Top 15 Best Big Data Tools of 2020 (Part 1), Mytour has highlighted some tools for handling big data in the market. Below are some other tools you can consider.

Besides Storm, Rapidminer, and Flink are also 2 of the most popular open-source Big Data analysis tools today.

Learn more: What is Big Data?

Best Data Analysis Software Today

Read more: Top 15 Best Big Data Tools of 2020 (Part 1)

Top 15 Best Big Data Tools of 2020 (Part 2)

9. Flink

Apache Flink stands as one of the top open-source data analysis tools for processing large data streams.

The tool delivers precise results even with unordered data, features fault tolerance and recovery capabilities (in case of failure), and can process and run on thousands of nodes with low latency.

In addition to the aforementioned standout features, Flink also supports stream processing and windowing with event time semantics, offers flexible windowing (based on time, count, or sessions), as well as supports a variety of connections to third-party systems for data sources and sinks.

Download Flink onto your device and install it here.

10. Cloudera

Cloudera serves as a modern big data platform, enabling users to ingest data from any environment onto a single platform.

The tool excels in high-performance big data analytics, supports multi-cloud environments, enables deployment and management of Cloudera Enterprise on AWS, Microsoft Azure, and Google Cloud Platform.

Additionally, it provides real-time detailed insights for users, ... .

Download Cloudera to your machine and install it here.

11. OpenRefine

OpenRefine, a robust big data tool, has the capability to analyze and process large datasets, convert to other data formats, and even allows extension with web services and external data.

With this tool, you can easily explore large datasets in the blink of an eye, import data in various formats, manipulate cells containing multiple values, create instant links between datasets, perform advanced data operations with Refine Expression Language, and some other interesting features.

Download OpenRefine to your machine and install it here.

12. Rapidminer

Similar to Storm, RapidMiner is also an open-source data analysis tool, used for data preprocessing, machine learning, and model deployment. The tool provides a suite of products to create new data mining processes and set up predictive analysis.

Some notable features of the tool include: allowing multiple data management methods, batch processing capability, integration with in-house databases, remote analysis capability, filtering, merging, combining, and aggregating data, storing data streams online across multiple databases, ...

Download Rapidminer onto your device and install it here.

13. DataCleaner

DataCleaner is equipped with powerful data configuration, extensibility, and additional data cleansing, data conversion, matching, and merging capabilities.

Among the features of the DataCleaner tool, the most notable are the ability to detect duplicate record matches, configure and interact with data, data validation and reporting, data transformation and normalization, and use of reference data to clean up data.

Download DataCleaner to your machine and install it here.

14. Kaggle

Kaggle stands as the paramount big data community presently, enabling organizations and researchers alike to publish and analyze their data. Seeking a seamless data analysis solution? Kaggle undoubtedly won't disappoint.

Download Kaggle to your device and install it here.

15. Hive

Hive, a big data software tool, empowers programmers to analyze their large datasets on Hadoop. Essentially designed to manage and query structured data.

Compared to other big data analysis tools, Hive scores with its Java Database Connectivity (JDBC) interface, lightning-fast querying and managing of large datasets, SQL support for query language interaction and data modeling, language compilation capabilities, and task definition in Java or Python.

Download Hive onto your device and install it here.

Among the Big Data tools discussed by Mytour, which tool do you hold in high esteem for data analysis?

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Frequently Asked Questions

What are the main features of Apache Flink for data processing?

Apache Flink excels in processing large data streams with fault tolerance and low latency. It supports unordered data, stream processing, flexible windowing, and connections to third-party systems, making it a top choice for big data analysis.

How does Cloudera facilitate data management in multi-cloud environments?

Cloudera allows users to ingest data from various sources onto a unified platform, enabling high-performance analytics across AWS, Microsoft Azure, and Google Cloud. It provides real-time insights, enhancing decision-making capabilities.

What capabilities does OpenRefine offer for large dataset analysis?

OpenRefine allows users to process and analyze large datasets, convert data formats, and extend functionalities with web services. Its ability to manipulate multiple value cells and perform advanced operations makes it a robust data tool.

How does RapidMiner support machine learning and predictive analysis?

RapidMiner provides a suite for data preprocessing, model deployment, and predictive analytics. Its batch processing, filtering, and integration capabilities facilitate comprehensive data management for effective machine learning workflows.

What unique features does Kaggle offer to its users?

Kaggle serves as a leading big data community where organizations and researchers can publish and analyze their datasets. It provides a collaborative platform for data analysis, making it an invaluable resource for data professionals.