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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

As the world becomes increasingly digitized, the amount of data being generated on a daily basis is growing at an unprecedented rate. This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. What is Big Data? What is Big Data?

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How Fujitsu implemented a global data mesh architecture and democratized data

AWS Big Data

Currently, we have approximately 120,000 employees worldwide (as of March 2023), including group companies. We develop business in various regions around the world, starting with Japan, and provide digital services globally. As of November 2023, more than 200 projects and 37,000 users were onboarded.

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insightsoftware Launches Angles Professional for Oracle to Automate Recurring Operational Reports at the Gartner Data & Analytics Summit 2023

Jet Global

Recognizing a need for better operational analytics, insightsoftware leveraged award-winning technology from Logi Analytics to provide Oracle ERP Cloud users the ability to customize, create, and share interactive dashboards and reports across all departments of a business.

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3 reasons why business and data analysts need to work with real-time events

IBM Big Data Hub

In a research brief defining “5 trends for 2023,” the IBM Institute for Business Value reports, “In 2023, rapid response is the new baseline. ” 1 Business and data analysts are intimately familiar with the growing business need for precise, real-time intelligence.

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2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. 1- Treating data as a strategic business asset . 2- Operationalizing adaptive AI systems for quicker business decision-making.

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Connect your data for faster decisions with AWS

AWS Big Data

The most impactful data-driven insights come from connecting the dots between all your data sources—across departments, services, on-premises tools, and third-party applications. But typically, connecting data requires complex extract, transform, and load (ETL) pipelines, taking hours or days.

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.