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Migrate Oracle-based applications to Google Cloud and simplify operations

Google Cloud and Oracle have partnered up to help businesses migrate their Oracle databases and applications to Google Cloud.
Google Cloud provides various migration paths, from fully managed services to customized options that offer flexibility depending on your business's needs.
The partnership is designed to provide businesses with the flexibility they need to deploy and manage Oracle applications on Google Cloud, accelerating migration, modernization, and innovation.
Google Cloud also offers containerization support, which gives developers versatility and scalability for their Oracle-based applications built with Java, Python, .NET, or runs on WebLogic.
Google Kubernetes Engine and Cloud Run are two powerful container orchestration platforms run for running containers smoothly, reliably, and efficiently on Google Cloud.
Oracle databases can be run on virtual machines, giving you control and flexibility for lift and shift migrations, while Oracle pluggable databases can be deployed using OraOperator, Oracle's Database Operator for Kubernetes.
Oracle GraalVM creates native Java applications, converting Java bytecode directly into native executables, which enable them to start quicker and consume fewer resources like CPU and memory. Using Java native images also enhance the security posture of your containers and minimize the potential attack surface.
Google Cloud has partnered with experienced Oracle experts to help make your migration smooth and successful. They can guide you through the process and offer solutions that will fit your migration needs.
The Oracle migration solutions on Google Cloud provide businesses an opportunity to modernize their applications to Java 21, adopting its advantages of long-term support, increased runtime performance, and security patches.
Migrating older Oracle applications to GKE or Cloud Run is a good opportunity to modernize them to Java 21 at the same time.

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Amazon

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Diving deep into the new Amazon Aurora Global Database writer endpoint

Amazon Aurora Global Database is a MySQL- and PostgreSQL-compatible relational database designed for globally distributed applications.
The newly released Aurora Global Database writer endpoint is a fully managed endpoint for a global database that enables fast local reads with low latency, and provides disaster recovery for applications in case of a single-region impairment.
The Global Database writer endpoint offers a seamless and secure solution for routing write requests to the appropriate writer instance.
Global Database consists of a primary region and up to five read-only secondary regions for low-latency local reads; Aurora asynchronously replicates data to the secondary region database clusters with latency typically under a second.
Remote cross-region access pattern enables your application stack to remain in its current region and automatically connects to the same endpoint following a global database switchover or failover operation across regions.
The local access pattern requires your application stack to move with the database to the same region as the primary cluster in case of a rare regional outage.
Aurora generates additional RDS events, helps minimize disruption after a switchover or failover, and provides best practices when using Global Database writer endpoints.
Connect your applications to the Global Database writer endpoint, which you can find on the Amazon RDS console.
Aurora now automatically creates the endpoint when you add a new region to your single-region Aurora cluster.
The Global Database writer endpoint points to the current writer DB instance, streamlines the application architecture, enhances operational efficiency, and provides secure communication with DB instances.

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Dev

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Best way to learn SQL

SQL (Structured Query Language) is a language we use to communicate with relational databases.
Learning SQL is essential to search, filter, edit, and manipulate data in your relational databases.
There are several resources available for SQL beginners like tutorials, online courses, and practicing with real-time data.
Practicing with real data and utilizing SQL to solve real problems will improve your SQL skills swiftly.
SQL core commands consist of SELECT, WHERE, JOIN, GROUP BY, ORDER BY, INSERT, UPDATE, and DELETE.
As your SQL skills grow, you must focus on improving query performance and learn indexing to make queries run faster.
Stack Overflow has a vast library of SQL questions and solutions which can assist while learning SQL.
Asking other developers, data engineers, or Artificial Intelligence (AI) can help you when you face issues while resolving real-time problems.
You can start learning SQL using online resources like Outerbase, W3Schools, or Codecademy.
You only need enough SQL knowledge to answer your own questions without depending on others.

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Cloudblog

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Discover and assess your database workloads migration to Google Cloud using Migration Center

Google Cloud Migration Center is a platform built to streamline cloud journey with intelligent, data-driven insights and recommendations.
Migration center allows discovery and assessment of servers and databases, critical components of an IT infrastructure.
Discovery and collection of database details are collected using open-source scripts for Microsoft SQL Server, MySQL, and PostgreSQL.
Once the script is run, an archive of extracted data from the configuration and metrics is generated for each database instance, which can be uploaded into Migration Center.
The technical fit assessment evaluates and surfaces the high-level details of the discovered database deployments and the target instance sizing.
The technical fit score shows the unsupported features/parameters/flags that have been detected in the source databases and will need to be remedied while migrating to Cloud SQL or AlloyDB.
The cost estimate process involves grouping together servers and/or databases, creating migration preferences, and then generating TCO reports.
Creating groups that categorize the source environment is recommended in order to create groups for assessing the desired pricing reports.
To generate a TCO report, you can assign up to four migration preferences as input to each group.
In the TCO report, you can review cost estimates for servers and databases alongside environment details, and export reports in Google Slides or CSV formats.

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Silicon

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Tech Giants Announce $500 Billion AI Plan In US

A joint venture called 'The Stargate Project' has been formed by tech giants including OpenAI, SoftBank, Oracle, and MGX.
The project aims to build $500 billion AI infrastructure in the US, creating jobs and economic benefits.
SoftBank and OpenAI are the lead partners, with SoftBank providing financial responsibility and OpenAI handling operational responsibility.
Elon Musk criticized the project, claiming that the companies involved do not have enough funding.

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VentureBeat

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OpenAI Stargate is a $500B bet: America’s AI Manhattan Project or costly dead end?

A $500bn project aimed at developing new, customised AI infrastructure has been announced by OpenAI, assisted by Softbank, Oracle, Arm and Nvidia.
The aim is to create artificial general intelligence (AGI) and, ultimately, superintelligence, which would outperform humans on most economically valuable work, and solve global problems.
Supporters claim the initiative is on a par with the building of the US highway system, while critics question the need for centralised investment given the success of more nimble relational AI models.
Tesla and xAI creator Elon Musk has questioned the funding for the project, while others have queried the rationale behind the initiative and suggested that the advances being made in AI may make it redundant.
Oracle CEO Larry Ellison has said the venture could develop personalised mRNA-based vaccines and cancer treatments.
The involvement of Musk, as both a government insider and through his xAI start-up, adds further complexity to the discussion.
Some argue the investments are essential in the face of competition from China and to maintain US global dominance in technology.
Critics say the project could prove a misstep, while some believe open-source models offer a more cost-efficient alternative.
The debate between decentralised and centralised approaches to AI is polarising opinion along philosophical, strategic and, some say, geopolitical lines.
The initiative could shape the course not just of AI but global power for years to come.

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Arstechnica

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Trump announces $500B “Stargate” AI infrastructure project with AGI aims

OpenAI, SoftBank, Oracle, and MGX have announced plans to form Stargate, a new company that will invest $500 billion in AI computing infrastructure across the United States over four years.
The goal of Stargate is to build more datacenters to expand computing capacity for current and future AI projects, including OpenAI's goal of creating AGI.
The project is touted as the largest AI infrastructure project in history and aims to secure American leadership in AI, create jobs, and generate economic benefits.
The infrastructure will also provide a strategic capability for national security.

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Crypto-News-Flash

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Trump Announces $500B AI Plan With OpenAI, SoftBank, Oracle

President Trump announces Stargate, a $500 billion AI infrastructure project involving OpenAI, SoftBank, and Oracle.
Stargate aims to boost AI innovation and create 100,000 new jobs in the United States.
The project will start with the construction of a data center and power plant in Texas, with plans to raise $500 billion over four years.
The initiative aims to advance AI technology, particularly in energy and health sectors.

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Hackernoon

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9 Big Takeaways From Data Analytics This Year

The global data analytics market is projected to exceed $140 billion by 2025, highlighting its crucial role in today's hyperconnected business landscape.
Augmented analytics leverages AI and machine learning to automate key aspects of the analytics process, such as data preparation, insight generation, and explanation.
Data governance is no longer just a theoretical priority — in 2025, it’s about implementing tools and strategies that embed governance into daily practices while unlocking AI capabilities.
Python's versatility in tasks like data cleaning, manipulation, and machine learning make it a dominant player in the data analytics field.
80% of global data is unstructured, presenting challenges in storage and specialized tools like NLP and computer vision are needed to analyze it.
NLP will reshape how users interact with data by making insights accessible to everyone, regardless of technical expertise and will empower faster, more informed decisions.
Over 50% of analytics workloads predicted to transition to lakehouse platforms by 2025, which blend data lakes and warehouses for cost-effective scalability.
Embedded analytics and real-time insights, replace reliance on standalone BI tools and enhance productivity by providing real-time decision-making capabilities.
Explainable AI produces more understandable AI operations, enhancing trustworthiness and fosters user confidence.
Edge computing processes data closer to its source, reducing latency for real-time analytics and critical for IoT-driven industries like healthcare and manufacturing.

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Analyticsindiamag

10h

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Oracle’s Larry Ellison is the ‘CEO of Everything’

Oracle's Larry Ellison is being referred to as the 'CEO of Everything' by US President Donald Trump.
Oracle has partnered in a $500 billion investment in US AI infrastructure and has a stake in TikTok Global.
Oracle is assisting the US government in building data centers for AI infrastructure and collaborating with OpenAI and NVIDIA.
Ellison discussed AI's potential in healthcare, including early cancer detection and personalized vaccines.

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Javacodegeeks

14h

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MariaDB4j: Embedded MariaDB Example

MariaDB4j is a Java library that allows developers to run MariaDB in an embedded mode, which is highly useful for testing and development environments.
MariaDB4j handles the downloading, extraction, and management of MariaDB binaries dynamically, ensuring that the database is up-to-date and ready to use with minimal effort.
This dynamic management means that MariaDB4j can automatically set up a temporary database environment that can be started and stopped programmatically.
MariaDB4j helps in creating self-contained applications that are easier to deploy and maintain.
MariaDB4j also supports custom configurations, such as specifying the port number, data directory, and additional startup options.
You can use MariaDB4j from the command line by installing the library and utilizing its built-in commands.
MariaDB4j can be easily integrated into Java applications.
MariaDB4j is particularly useful for writing isolated tests.
MariaDB4j provides a powerful way to use MariaDB in embedded mode for development and testing purposes.
Whether you use it from the command line or integrate it into your Java applications and tests, MariaDB4j is a handy tool for developers.

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Dbi-Services

15h

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Creating your private cloud using OpenStack – (5) – The Compute service

In this article, the author describes the procedure for setting up the compute service in OpenStack, also known as Nova.
Nova interacts with OpenStack Identity for authentication, OpenStack Placement for resource inventory tracking and selection, OpenStack Image service for disk and server images, and OpenStack Dashboard for the user and administrative interface.
The article explains how to prepare and configure the database backend, create service credentials and endpoints, install required packages, and configure Nova in detail on the controller and compute nodes.
It also covers how to install and enable libvirt on the compute node.
Lastly, the author demonstrates how to discover hosts, attach them to a cell, and verify the image service and placement API are working properly.
The article concludes with a diagram of the final OpenStack deployment, and a hint at the next article which covers the Network Service (Neutron).

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Medium

23h

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SQL for Product Managers: Why You Should Consider It an Essential Skill

SQL, or Structured Query Language, is an essential tool for product managers.
Learning SQL allows product managers to unlock valuable data stored in databases.
SQL is the language used to retrieve data from databases.
Grasping SQL empowers product managers to make informed decisions.

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Alvinashcraft

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Dew Drop – January 22, 2025 (#4347)

Microsoft and OpenAI evolve partnership to drive the next phase of AI. Microsoft has extended its exclusive relationship to be the preferred partner of OpenAI in developing new technologies in the race to build out artificial general intelligence (AGI).
This Month in Azure Static Web Apps | November and December 2024 – Special Edition. Glaucia Lemos highlights some of the notable releases and news in the Azure Static Web Apps space over the last couple of months.
Introducing Graph API v22.0 and Marketing API v22.0. Facebook introduced Graph API and Marketing API v22.0, including new features, improvements, and changes. Some APIs will be deprecated in May 2025.
Announcing Global Acceleration Program for RISE with SAP on Microsoft Azure. Ali Powell explains how the Global Acceleration Program (GAP) for RISE with SAP helps customers run SAP on Azure more efficiently and effectively.
C# Tip: How to create Custom Attributes, and why they are useful. Davide Bellone explains what they are, how they're used, and how to create your own Custom Attributes in C#.
Beyond “Prompt and Pray”. In this episode of DataFramed by DataCamp, Krzysztof Magiera, Co-Creator of the React Native Animation library, Reanimated, discusses his experience developing this software and how it can help you create high-performance animations for a superior user experience.
Avalonia: An Open Source Option for Cross-Platform UI Work. David Eastman explains how Avalonia has been developed to address many of the issues with cross-platform UI development, and how it's now a viable option for your next cross-platform project.
Microsoft’s Steam-like browser overlay is now available on Windows 11. Tom Warren reports on the new Microsoft Edge feature that lets you use the web browser in an overlay on Windows 11, similar to Steam's overlay.
Top 10 Microservices Design Patterns you should know. Sylvain Tiset highlights the top 10 Microservices patterns that software engineers should be familiar with.
Modern AI Integration: OpenAI API in Your Next.js App. Adhithi Ravichandran shows how to integrate OpenAI's API into a Next.js app, to provide AI capabilities such as natural language processing.

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Dbi-Services

333

PostgreSQL 18: Add OLD/NEW support to RETURNING in DML queries

PostgreSQL 18 introduces support for returning old and new values in DML queries.
Previously, you could only return the values of inserts/updates/deletes, but not both old and new values.
The new feature allows you to reference and return both old and new values for affected rows.
This is useful for situations where you need to capture both the before and after values in a single query.

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