As tech progresses, the importance of data tracking is on the rise. The global surge in data results in almost 2.5 quintillion bytes; without proper organization, this data proves ineffective. Collecting useful market data is a key element in maintaining business consistency. Optimal decision-making for a company requires properly managing vast raw data.
This is possible using the right data analytic tool and a skilled data analyst. A business can improve decision-making by using a big data analytics framework. They can discover patterns, customer preferences, and concealed market trends within the data. Data analysts play a vital role in aiding firms to refine their decision-making processes. They can use software and a big data analytics structure tailored for large-scale data analysis.
APACHE Cassandra enables the retrieval of large data sets through its distributed database with a no-SQL engine.
Apache Spark allows large-scale data processing and various tasks across multiple computers.
Qubole uses open-source tech for big data analytics. It fetches data from a value chain through ad-hoc analysis in ML.
MongoDB is a document-oriented (NoSQL) database. It is an open-source platform for the structured storage of large amounts of information.
Storm is a robust and user-friendly tool small companies use for big data analytics.
Rapid Miner automates the design of data analytics workflows using visual tools.