The Internet of Things IoT

The Internet of Things, or “IoT” for simple, is about expanding the power of the Internet to a whole range of other devices, systems, and environments beyond computers and smartphones. The amount of support IoT receives is exponentially increasing. In reality, it was not until 1999 that the word “Internet of Things” was invented. Since … Read more The Internet of Things IoT

Introduction to Data Engineering on Google Cloud Platform

Raw data is replicated and processed inside a lake of data. To get the data accessible, you’ll use the extract transform load or ETL pipelines to make the data functional, and store it in a data warehouse. When deciding between different data warehouse choices, let ‘s consider what are the key considerations. We need to … Read more Introduction to Data Engineering on Google Cloud Platform

Machine Learning on Unstructured Datasets

Machine Learning models on GCP have helped many companies to make a breakthrough in their industries.  The secret to takeaway is that ML can automate activities that can save a human team or support them. The new models have also outperformed humans in some domains recently. More than just binary classification tools, the picture classification … Read more Machine Learning on Unstructured Datasets

Challenges facing modern data pipelines

Introduction Software engineers have a central responsibility for building efficient, scalable, and secure pipelines. Data may come in from all various data sources inside modern organizations. Message-oriented architectures with Cloud Pub/Sub The first part of the pipeline puzzle that manages vast amounts of streaming data that do not come from a single organized database. Alternatively, … Read more Challenges facing modern data pipelines

Compute Power for Analytic and ML Workloads

Google trains its output machine learning models on its large data center network and then deploys smaller trained versions of these models to your phone’s hardware for video predictions for example. You can use pre-trained AI building blocks to exploit Google’s AI work. For example, if you’re a film trailer producer and want to quickly … Read more Compute Power for Analytic and ML Workloads

Apache MySQL PHP PHPMyAdmin Containerized with Docker

Dockerize lamp

PHP / Apache / MySQL stack has a dominant market share on internet content management systems and web applications, and with so many developers using these technologies, there is a great deal of interest in modernizing the way they use them from local development through to production. Today we’ll look at several ways to containerize and … Read more Apache MySQL PHP PHPMyAdmin Containerized with Docker

Fixed Income and Bond Markets

An asset is an economic-value resource owned or controlled by an individual, corporation, or country with the expectation that it will deliver a future benefit. Assets are listed on the balance sheet of a company and are acquired or produced to increase the value of a company or to support the operations of that company. … Read more Fixed Income and Bond Markets

An Introduction to Google Cloud Data Engineering

By 2025, we’ll have more than 21 billion active IoT devices connected (Statista, 2020). According to Wikipedia: “The Internet of things (IoT) is a system of interrelated computing devices, mechanical and digital machines provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.”

Money Market and Interest

Introduction Money markets have no widely agreed-upon definition. According to Investopedia, The money market corresponds to trading debt investments in the very short-term. It includes big-volume transactions between companies and brokers at the wholesale level. This covers, at the institutional level, money market mutual funds bought by private customers, and money market accounts held by … Read more Money Market and Interest

Google Cloud DataProc

DataProc

Cloud Dataproc is a managed Spark and Hadoop service that allows you to use open-source data resources for batch processing, querying, downloading, and machine learning. Automation with Cloud Dataproc lets you rapidly build clusters, spins up instances of the cluster’s compute engine, handle them efficiently, and save money by shutting off clusters that aren’t necessary. … Read more Google Cloud DataProc

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