Every single day we, as a connected – mobile – workforce, are creating vast amounts of data. In fact, a recent Cisco report indicates that by 2020, data center storage installed capacity will grow to 1.8 ZB, up from 382…
Continue reading How Big is Big Data – Discover New Ways to Leverage Data
Managing big data is a never-ending challenge. Extract, transform, and load (ETL) processes serve as the traditional foundation for enterprise data warehousing. However, with the emerging popularity of big data ETL tools, some IT experts are eyeing new methods for…
Is it easy to connect to a data warehouse? Selecting the right tool can help make this connection attainable. Tableau Desktop makes this connection easy, from opening the software to connecting to the five selected data warehouses. Tableau uses the…
In the past, designing a data warehouse and data warehouse architecture has taken too long to complete. Executing numerous semi-automated steps results in a data warehouse that was limited and inflexible. This limitation caused businesses to seek out other solution…
Continue reading The Basics Of Automated Data Warehouse Lifecycle Management
If you ask a group of big data analysts what are some of the top professional challenges they face, you can easily imagine which challenges are consistently shortlisted. One is the amount of time and effort needed to get data…
There are many risks involved with data security. Storing data in the cloud might seem like a safe bet, and for most users it is. But risks will always exist. Below we have identified some serious security threats in cloud…
Continue reading Top Cloud Data Security Risks, Threats, and Concerns
One of the most critical steps in building a data warehouse or building a data lake is integrating your data sources into one format.Data integration is a crucial step, and it can be done using Extract, Transform, Load (ETL) or…
Continue reading ELT vs. ETL: Differences in Design and Architecture
As more organizations begin their journey to the cloud, they need to plan how they will apply the best practices of data management to ensure that cloud-based, data-driven use cases are successful for end users and comply with enterprise governance…
Continue reading Data Management Best Practices for Cloud Computing
Are you considering a career as a BI Architect? You have made an excellent choice. Business Intelligence Architects are some of the leading minds in business and information management. They use data components and information management systems to organize data…
Continue reading Business Intelligence Architect: Defining the Role
There’s no question that the cloud offers many potential benefits. Major companies everywhere are lining up to reap the benefits by moving their back-office systems to cloud-based data warehouse platforms.Historically, company data was stored locally on magnetic hard drives or…
Continue reading Enterprises Eye Big Benefits from Cloud Data Warehouses
Long before there was big data, there were computing solutions designed to store, organize, and analyze data. But just like the job of a big data architect, it’sboth bigger anddifferent thanthat of other data architects, so too is thejobof the solutions…
Continue reading Selecting a Big Data Solution: Top 10 Questions to Ask
Organizations looking to leverage big data impose a larger and different set of job requirements on their data architects versus organizations in traditional environments.If you want to become a great big data architect, and have a great understanding of data…
Continue reading How To Become a Big Data Architect: A Guide
