Business Intelligence, Big Data Management

Manual Replication of MySQL Database Using MySQL Workbench

December 19, 2022

Manual Replication of MySQL Database Using MySQL Workbench
When an Azure region is not available due to issues at the Datacenter level, this should not affect the availability of data. Hence, database replication is required to avoid data loss at any given point in time. Some Microsoft Azure regions do not support Azure database replication in different regions. (Refer to the image given below) To overcome this, manual replication of MySQL database using MySQL workbench is the only feasible option.

Spotlight

Privacera

Privacera's enables data democratization without compromising on compliance with data access control, data discovery, and encryption. Privacera ensures compliance with regulations such as GDPR, CCPA, LGPD and HIPAA while maximizing the usability for data science and analytics teams. Founded in 2016 by the creators of Apache Ranger™ and Apache Atlas™, Privacera is often described as "Apache Ranger in the Cloud". Privacera's centralized data access governance platform extends Apache Ranger's capabilities beyond traditional Big Data environments to cloud-native services and analytics platforms such as AWS, Azure, GCP and Databricks.

OTHER WHITEPAPERS
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Do No Harm Guide Centering Accessibility in Data Visualization

whitePaper | December 29, 2022

Every day we are inundated with tables, graphs, charts, and maps explaining everything, including the unemployment rate, COVID-19 vaccination rates, baseball home run launch velocities, and our investment portfolios. When made well, data visualizations can help readers and users find insights and make discoveries. When made poorly, they obfuscate, mislead, or make it difficult for people to use them effectively.

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A Modern Data Architecture

whitePaper | April 7, 2021

Assembling the perfect data stack is impossible. But for most data teams, the path to leveraging rapidly evolving tech and best-in-class tools is even more difficult when it’s impeded by the pitfalls of monolithic legacy applications.

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Securing Data In Motion: Working at the Speed of the Mission

whitePaper | August 25, 2022

Everyday user experiences are being completely reimagined. Requesting a ride through an app is better than calling a cab. Buying online is changing the way we go shopping. And gone are the days of waiting in long lines at your local bank. Data within these modern businesses is in constant motion, flowing, in real-time, across systems, environments, and applications every time a user interacts with the system.

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Democratizing Data Analytics in Financial Services

whitePaper | February 22, 2023

There are two reasons financial institutions are learning as much about their customers as possible by gathering—and processing—as much data as they can. Firstly, this information is invaluable for delivering more personalized products and services to increase revenues while making smarter decisions and improving operational efficiency. Better customer understanding can improve things like underwriting accuracy, for example, and many others.

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2022 Data Industry White Paper

whitePaper | December 27, 2022

The 2022 data industry white paper consists of five parts. Part 1 discusses data sharing between individuals, across countries and within companies, under this year's theme of 'Data Sharing.' Part 2 summarizes the major policies, legislation, and systems related to the data industry in Korea and abroad. Part 3 deals with the current status of Korean and global data industry markets. In Part 4, the status of each industry based on business data is examined. Part 5 reviews technologies related to data sharing and utilization. Overall, this white paper uses infographics to summarize the flow of related policies, legislations, and institutions that have been promoted over five years, and highlights the main data issues experienced in Korea this year based on data analysis.

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SAP Datashpere

whitePaper | March 29, 2023

On the 8th of March 2023 SAP announced the evolution of SAP Data Warehouse Cloud (DWC) into SAP Datasphere during its ‘Data Unleashed’-digital event. Although this whitepaper has been updated to reflect all the changes and new developments, some of the images may still carry SAP Datasphere’s old name (Data Warehouse Cloud), in cases where no similar visualizations with the new namesake were available. If you have read this whitepaper before, you might just be interested in the topics that SAP highlighted in the days preceding and during the March event. In the section below you will find the most important takeaways in a nutshell, but we encourage you to read on if you want to know more!

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Spotlight

Privacera

Privacera's enables data democratization without compromising on compliance with data access control, data discovery, and encryption. Privacera ensures compliance with regulations such as GDPR, CCPA, LGPD and HIPAA while maximizing the usability for data science and analytics teams. Founded in 2016 by the creators of Apache Ranger™ and Apache Atlas™, Privacera is often described as "Apache Ranger in the Cloud". Privacera's centralized data access governance platform extends Apache Ranger's capabilities beyond traditional Big Data environments to cloud-native services and analytics platforms such as AWS, Azure, GCP and Databricks.

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