MongoDB is one of the leading NoSQL, document-based database technologies. According to Enlyft, there are over 35,00 companies worldwide that are using MongoDB including world-leading brands such as eBay, Toyota and Forbes. MongoDB has a market share of approximately 45.11% in the NoSQL Database category, competing with other technologies such as NoSQL (22.73%) and Amazon […]
A data technology stack is a set of services and/or technologies, which companies use to store, access, and manage their data. In a data warehouse, this process requires the extraction of raw data from chosen sources to be sourced and loaded into the data warehouse using a data pipeline. […]
Read More… from Data warehousing technology stack – choosing the right technologies
Ruby on Rails is one of the leading technologies when it comes to web app development. According to Slintel, it has a significant portion of the web framework technologies market share of 29.03%, only behind Django which has 31.27%. It has users across the world and some of the world’s leading brands such as Airbnb, […]
Data Warehouse as a Service (DWaaS) is an outsourcing model, in which the configuration of the platforms and processes, management of hardware and software resources, and overall management of the system is handled by an external team – leaving you, as the customer, to provide the data and pay for the required services. […]
Read More… from Data Warehouse as a Service (DWaaS) – what you need to know
Managing your data means that you need the right structures, the right tools, and the right team to manage your needs. When you create a data pipeline, the first things you should consider are: […]
Read More… from Data pipeline development – choosing the right technologies
Your time and resources are precious, and when you are running a process that involves a lot of data, and potentially is costing you for every action (or inaction) – making the most of your budget is crucial. […]
Read More… from Data pipeline automation – what you need to know
Operational monitoring and support services are often a necessity for multiple reasons for organisations that have high-traffic applications and those dealing with real-time or near real-time data. A good operational monitoring and support provider will have an established structure in place whether that is reporting on scheduled intervals or communicating any issues or errors. […]
Read More… from Key technologies for operational monitoring and support
An extended team model (ETM) is the new alternative to traditional outsourcing. It combines the best of both worlds your existing team skills and expertise with an extended team of professionals who come on board to work on a collaborative basis. Organisations that may have mid to long-term projects, may not have sufficient resource or […]
Read More… from What is an extended team model and can it work for you?
Managing your data efficiently means understanding exactly what you are doing, the size of the data involved, and what pipeline structure is going to best suit your needs. Developing your data pipelines is a critical part of your strategic data development and business growth. […]
A data engineering team depending on the industry, size and type of business as well as scale type and form of data will differ in their structure, functions and day-to-day work. It is undeniable the invaluable benefits a good data engineering team can provide for a business whether you have a team in-house or work […]
Read More… from Building a data engineering team the right way
