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Best Reporting Tools List You Can’t Miss in 2020

FineReport

Reporting tools play vital importance in transforming data into visual graphs and charts, presenting data in an attractive and intuitive manner. The former is more professional in report making, presentation, and printing, while the latter can make OLAP and predict analysis thanks to the BI capabilities. Host Analytics.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Increased competitive advantage: A sound BI strategy can help businesses monitor their changing market and anticipate customer needs.

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Closing the breach window, from data to action

IBM Big Data Hub

The attack-path view shows which hosts and assets have been impacted, while the network activity view shows if data has leaked and lateral movement has happened where malicious actions have taken place. QRadar Log Insights rapidly ingests, analyzes and presents data in interactive, built-in dashboards designed by cybersecurity experts.

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Data Model Development Using Jinja

Sisense

A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools.

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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

IP translation – The IP addresses present in events will be translated to city, state, and zip, and enriched with other information to implement near-real-time, location-aware services encompassing security-related functions as well as personalization functions. Operational dashboards are hosted on Grafana integrated with Druid.

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

For Connection name , enter a name (for example, olap-azure-synapse ). For Host name , if you installed the extraction agent on the same workstation as AWS SCT, enter 0.0.0.0 to indicate local host. Otherwise, enter the host name of the machine on which the AWS SCT extraction agent is installed.

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Unlocking Data Storage: The Traditional Data Warehouse vs. Cloud Data Warehouse

Sisense

The traditional data warehouses solved the problem of processing and synthesizing large data volumes, but they presented new challenges for the analytics process. The warehouse being hosted in the cloud makes it more accessible, and with a rise in cloud SaaS products, integrating a company’s myriad cloud apps (Salesforce, Marketo, etc.)