Guides

Today, data is being produced on a massive scale, presenting excellent opportunities for machine learning (ML) initiatives. However, a significant portion of this data remains out-of-bound for data scientists and ML practitioners. Strict privacy regulations, high costs, and long processing times hinder data processing.  As a result, Gartner estimates that 85 percent of AI projects fail. This is where synthetic data proves to be beneficial. Synthetic...

Data science knowledge and skills are some of the most valuable credentials for the modern workforce. Companies and individuals can sign up to take DS courses developed by top universities, technology companies, and boot camps through an online platform. From specializations in Python, SQL, and machine learning (ML) to general introductions to these topics, the range of courses offers something for any student or...

The current schools of thought surrounding software development have evolved to include far more communication between stakeholders and rapid responses to changes. Whereas the original waterfall approach was rigid and inefficient, today's DevOps and Agile methodologies offer more flexibility and better ultimate results. However, these two approaches each have unique use cases that help software teams work better. It's important to understand the difference between...

A data lakehouse is the data management paradigm combining data warehouse and data lake capabilities into a unified platform for optimizing structured and unstructured data storage. While data warehouses have long been the answer to storing structured data, the explosion of data in recent decades led to data lakes storing vast amounts of unique and unstructured data types. Only recently have the leading database software and...

Whether it's a small business, or enterprise office, mesh networking can extend wireless coverage while improving Wi-Fi performance and enabling administration for local internet access. Administrators can install and configure a network with hubs strategically placed to maximize a network's physical reach through a specialized mesh router. Without running cords across office space, mesh Wi-Fi networks use satellite nodes to increase connectivity and speed and...

The speed of processing power and server responses in modern IT infrastructure is due to the widespread adoption of load balancers capable of distributing workloads between multiple servers. Today, load balancing systems go beyond hardware, extending to software, cloud-based, and virtual appliances. Their newest iteration, application delivery controllers (ADC), offer critical capabilities for redirecting and routing traffic, protecting against web application attacks, and accelerating service...

Extract, transform, and load (ETL) software is the tool or tools needed to transfer data from multiple sources to a unified repository, such as a data warehouse or data lake. ETL tools have been in use for almost five decades, allowing organizations to analyze, develop, and act on data continually. Several tenured enterprise vendors for database management, analytics, and business intelligence continue to lead the...

Edge computing networks prioritize distributed infrastructure and micro data centers that bring processing and storage of digital resources to global end-users. But how should organizations at large approach edge network deployment? While the last decade has seen the widespread adoption of cloud computing — which relies on centrally hosted and managed data centers — edge computing provides enterprise organizations with the methods needed to keep...