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LuxDevHQ (Lux Academy and Data Science East Africa) Training Program in AI, Data Science, Analytics, and Data Engineering

LuxDevHQ (Lux Academy and Data Science East Africa) offers a 6-month training program in AI, Data Science, Analytics, and Data Engineering.
The program includes 15 weeks of training followed by a 2-month building internship.
Tuition starts from 7,500 KES per month with options for online, evening, and in-person classes.
Upon completion, participants receive a certificate of completion and have access to career support and mentorship.

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Cloudblog

114

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How AlloyDB unifies OLTP and OLAP workloads for Tricent

Tricent Security Group faced performance challenges with their PostgreSQL database infrastructure and needed a database solution that could efficiently manage both OLTP and OLAP workloads.
The company needed faster query response times to handle complex analytics but their previous system's performance lagged under this dual workload.
AlloyDB for PostgreSQL quickly rose to the top of Tricent's list for a new database solution because of its compatibility with their existing PostgreSQL setup.
The migration process to AlloyDB was smooth and provided an immediate performance boost, particularly for their resource-intensive OLAP workloads.
With AlloyDB's unique architecture that separates compute and storage, Tricent has the flexibility to adapt quickly to changing demands, which is invaluable when dealing with unpredictable workloads and rapid growth.
AlloyDB not only solved Tricent's immediate problems but also opened up new possibilities, allowing them to focus more on innovating new security solutions for their customers.
The switch to AlloyDB has also been transformative for Tricent's operations, helping them to process approximately 250 million transactions per day without any difficulty and see a 10-25% savings month-over-month.
AlloyDB will play a pivotal role in Tricent's growth with plans to integrate it deeper with Google Workspace and utilize more of Google Cloud's AI and machine learning capabilities.
Tricent recommends AlloyDB to others and gives resources for those interested in trying it out.

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Dbi-Services

PostgreSQL: Partitioning an existing table (almost) online using table inheritance

The PostgreSQL mailing list archives are a wonderful place to get new ideas just by reading through random posts. This time I found an interesting idea on how to partition an existing table almost online without dumping and reloading the data in some way.
For those who remember: Before PostgreSQL 10 the only way to partition a table in PostgreSQL was to use table inheritance.
create table t_aaa ( a int, b text check (b in ('aaa')) ) inherits ( t );create table t_bbb ( a int, b text check (b in ('bbb')) ) inherits ( t );
Having that confirmed we can delete the data from the parent table and insert into the child tables (maybe in multiple batches).We do that until the parent table is empty and all data is in the child tables.
The final step is to destroy the inheritance and attach the child tables as new partitions to a newly created partitioned table, and finally rename the old one and the new one.
Because the check constraint matches the partition key, PostgreSQL can just attach the tables as new partitions without scanning the tables, so this is a very fast operation with a very short lock.
This is a really simple test case, of course this works well. In busy systems this might get more tricky. Routing data with a trigger might introduce some performance degradation.
You somehow have to deal with data coming in while you go from the old to the new structure, or stop data from coming in during the last step.
The PostgreSQL community believes strongly in helping each other learn and improve. Every year, they hold PostgreSQL conferences to help people gain a better understanding of PostgreSQL.
Some popular PostgreSQL conferences include PGCon, PostgreSQL Conference East, and PostgreSQL Conference West.

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Hitconsultant

164

KLAS: Small Hospitals Face Buyer’s Remorse for EHR Selections

KLAS Research has released a report on EHR selection buyer's remorse among small standalone hospitals.
The market has consolidated around three primary players: Epic, MEDITECH, and Oracle Health.
Oracle Health and TruBridge received lower satisfaction ratings, while Epic and MEDITECH show higher satisfaction.
Small hospitals express dissatisfaction with implementation and training processes.

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Dev

388

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How to Fix MySQL Not Running on macOS Sequoia 15.0

If you've recently upgraded to macOS Sequoia 15.0 and are experiencing issues with MySQL not running, you're not alone.
The root cause lies in the significant architectural changes introduced in MySQL 9.0.
Here's the solution, broken down into actionable steps: Stop MySQL 9.x, Install MySQL 8.4, Start and Stop MySQL 8.4, Start MySQL 9.x, Remove MySQL 8.4
By following these steps, you can resolve the MySQL startup problem on macOS Sequoia 15.0.

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Amazon

182

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Build a streaming ETL pipeline on Amazon RDS using Amazon MSK

Customers often seek architecture guidance on building streaming extract, transform, load (ETL) pipelines to destination targets such as Amazon Redshift.
This post outlines the architecture pattern for creating a streaming data pipeline using Amazon Managed Streaming for Apache Kafka (Amazon MSK).
Streaming ETL and batch ETL are approaches used for data integration, processing, and analysis.
We begin with an architectural overview to understand the various components involved in the streaming data pipeline.
A streaming pipeline begins with unprocessed asynchronous event streams and finishes with a structured table of optimized insights.
The example architecture includes a transactional database running on Amazon RDS for SQL Server, a Debezium connector running on Amazon MSK Connect infrastructure to ingest the data stream, an Amazon MSK cluster as stream storage, AWS Glue to handle data transformation and processing between the MSK cluster and the analytics target, and an Amazon Redshift cluster as the final data store for running analytics queries.
This makes Kafka flexible and effective for handling real-time data across a wide range of industry use cases. Furthermore, Amazon Redshift integrates with MSK, facilitating low-latency, high-speed ingestion of streaming data directly into an Amazon Redshift materialized view.
To implement this solution, you should clearly define your streaming ETL requirements, including the data sources, transformation logic, and the destination data store.
Both streaming ETL and batch ETL approaches used by organizations, depending on the nature of their data processing needs.
In this example architecture, we construct a pipeline that reads from an RDS for SQL Server as a data source and write the transformed data into an Amazon Redshift cluster.

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Cloudblog

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Google Cloud database news roundup, October 2024 edition

Google Cloud launched exciting features for Database Center, including support for Spanner and advanced AI-powered capabilities that can be unlocked with Gemini.
ScaNN index for AlloyDB is now generally available, allowing for the first PostgreSQL-compatible index that can scale to support more than one billion vectors while maintaining state-of-the-art query performance.
Firebase Data Connect, a new backend-as-a-service that is integrated with a fully managed PostgreSQL database powered by Cloud SQL, is now in preview.
A strategic partnership with Aiven, the multi-cloud data infrastructure company, was announced to provide a simplified and secure way to deploy, manage, and scale AlloyDB Omni.
Cloud SQL now supports PostgreSQL 17, and integration with Certificate Authority Service (CAS) is in preview to simplify TLS certificate management. Cloud SQL for SQL Server Transaction Log Export is now in preview.
AlloyDB enhancements include creating free trial clusters using a copy of your Cloud SQL for PostgreSQL backup, enabling Enhanced Query Insights without the need for Gemini enablement, and PostgreSQL version 16 availability.
Memorystore for Valkey 8.0 and ultra-low latency in-memory vector search, single-shard clusters, and cross-region replication are now available in preview.
Database Migration Service (DMS) now supports MySQL version 8.4 and PostgreSQL version 16.
Spanner Editions offers more flexibility and cost transparency, full-text search is now available, and BigQuery External Datasets with Spanner lets data analysts browse, explore, and query Spanner tables as if they were native BigQuery tables.
Palo Alto Networks, Prefab, Unity, Bayer, and Deckmatch adopted Google Cloud database solutions to boost performance, lower costs, and streamline operations or centralize solutions.

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Dbi-Services

260

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Exploring FlyonUI with Vue.js: A Fresh and Evolving Library

FlyonUI promises a fresh approach to Vue UI development.
FlyonUI is an open-source Tailwind CSS Components Library with semantic classes and powerful JS plugins.
It’s designed to be intuitive, flexible and to have universal framework compatibility (Vuejs, React, Angular, …).
Add FlyonUI to your existing Vue.js project by running npm install flyon-ui in the root folder of your app.
Make FlyonUI components available across your app by importing it in your Vue configuration files.
FlyonUI offers pre-built themes that make it easy to customize the look and feel of your app, and add radio buttons to control CSS theme.
FlyonUI also offers advanced components, such as tables, charts and timeline, to build complex interfaces quickly.
FlyonUI is a lightweight, intuitive and easy-to-use library to create modern, responsive and interactive UIs without a significant performance hit.
The developers are still working to expand its capabilities and introduce new features.
Overall, FlyonUI is a fresh and evolving library worth exploring for Vue.js developers.

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Cloudblog

342

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Unlocking the power of Spanner: 10 partners to revolutionize your data

Spanner is an always-on, globally consistent, virtually unlimited-scale database that powers a wide array of modern applications across different industries while offering predictable single-digit millisecond latencies, virtually unlimited scalability, and a five 9s of availability SLA.
Google products like Gmail and other innovative organizations have adopted Spanner as the foundation for their data-driven transformations.
In addition to strong consistency, familiar PostgreSQL-compatible syntax, and ACID transactions, Spanner offers enhanced multi-model capabilities, improved performance, geo-partitioning, and dual-region configurations.
A robust ecosystem of technology partners and system integrators offer assistance with data integration, analytics, governance, and migration assessment to ensure a smooth transition and optimal use of Spanner.
Spanner partners like 66degrees, Accenture, Amarello, Ollion, Orijtech Inc., Pythian, Searce, Tensure, Wipro, and Zencore offer industry-specific solutions and services for the full migration journey to Spanner.
66degrees boasts a proven track record of successful database migrations and deep expertise in leveraging Spanner's capabilities.
The 72,000 database professionals of Accenture partner with Google Cloud on Spanner opportunities to empower clients and drive their digital transformation journeys to the cloud.
Amarello is dedicated to reimagining core business solutions that demand elasticity, high availability, and high transactional processing for Google Cloud customers.
Ollion helps customers switch to Spanner with zero downtime and minimal code change while maximizing its new capabilities.
Orijtech builds all sorts of integrations and delivers high-quality engineering and computing solutions for Spanner in any environment.

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Mysql

278

Support for large transactions in Galera: Taking Streaming Replication for a spin

Streaming replication in Galera Cluster is used to manage large transactions.
There are three options for wsrep_trx_fragment_unit: bytes, rows, and statements.
Testing wsrep_trx_fragment_unit with bytes and rows showed similar execution times.
However, using wsrep_trx_fragment_unit with statements resulted in significantly longer execution times.

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Dev

137

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Split a Huge CSV File into Multiple Smaller CSV Files #eg69

The problem is to split a huge CSV file into multiple smaller CSV files, as the size of the file is too large to be loaded into memory at once.
The objective is to divide the file into smaller files, each containing a maximum of 100,000 rows.
The solution involves creating a cursor for the original CSV file and then looping through it to read in 100,000 rows at a time.
The rows are then exported into separate smaller CSV files, named sample1.csv, sample2.csv, and so on.

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Dev

246

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MySQL Numeric Data Types Explained

MySQL supports various numeric data types tailored for specific scenarios.
TINYINT, ideal for storing small integers up to 255. Commonly used for binary flags or small value counts such as statuses.
SMALLINT, handles values up to 65,535. It’s great for moderate data ranges like age or limited inventory quantities.
MEDIUMINT, for values from 65,536 to 16,777,215, MEDIUMINT is practical when a balance between range and storage efficiency is needed, such as in census data or moderate scales.

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Dbi-Services

297

PostgreSQL: Delaying authentication to debug a process

To debug a process or troubleshoot authentication issues in PostgreSQL, the pre_auth_delay parameter can be used to add a delay before a session is authenticated.
By adding a delay, it allows you to identify the problematic session and attach strace to it for further investigation.
The pre_auth_delay parameter can be changed online, and an example of setting it to 10 seconds is provided.
In addition to pre_auth_delay, there is also post_auth_delay parameter available.

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Dbi-Services

228

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Vue – Creating an Awesome Parallax Effect with Swiper

With Swiper for Vue, you can easily implement parallax effects for a slideshow.
In this guide, we’ll create a parallax effect using Vue 3 and explore additional features to enhance this effect.
Let’s start from scratch to create a Vue 3 app and set up Swiper to create a parallax slider.
To achieve a full-screen parallax effect, I used display: contents;
Now that we’ve created the AwesomeParallax component, we can add it to HomeView.vue to display it on the main page.
With everything in place, you can start the development server to see the parallax effect in action.
Slide Transition Duration: Customize the transition duration for smoother animations by editing the :speed prop adjustments
Center the text: To center the text, title, and subtitle in the middle of your screen, you can use flexbox properties on the .swiper-slide
Adding Image Gradients: Layering gradients over the background images to create depth. To apply a gradient overlay on top of your background image while keeping the image itself
This guide demonstrated how to set up a Vue 3 application with a parallax effect, creating visually engaging user experiences.

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VoltDB

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What is Preventative Maintenance?

Preventative maintenance is a proactive approach focused on regular inspection, maintenance, and repairs to prevent equipment failures, minimize downtime, and extend asset lifespans.
Preventative maintenance, via things like real-time decisioning, schedules tasks based on time intervals or usage metrics, enhancing productivity and cost-effectiveness and preventing costly downtime.
Preventive maintenance relies on a systematic approach where tasks are planned according to set schedules or usage intervals. The process typically includes inspection, servicing, repairs, and replacement.
Preventative maintenance can be categorized into several types based on timing, task specifics, and equipment needs: calendar-based, usage-based, condition-based, and predictive maintenance.
Examples of preventive maintenance include regular inspection and lubrication of conveyor belts, calibration and servicing of medical equipment, and scheduled oil changes, tire rotations, and brake inspections to prevent vehicle breakdowns.
Implementing preventative maintenance offers benefits such as reduced downtime, extended equipment lifespan, lower repair costs, improved safety, enhanced productivity, and cost savings.
Preventative maintenance is different from reactive maintenance, which is a reactive approach, addressing problems only after they arise.
Technological advancements have made it easier to implement effective preventative maintenance. These include CMMS, IIoT, AI and machine learning, and digital twins.
With the right preventive maintenance plan and technology, businesses can achieve greater productivity, cost savings, and operational stability.

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