Welcome!

Microservices Expo Authors: Liz McMillan, Pat Romanski, Elizabeth White, Yeshim Deniz, Zakia Bouachraoui

Related Topics: @DXWorldExpo, Java IoT, Microservices Expo, Microsoft Cloud, Linux Containers, Agile Computing

@DXWorldExpo: Article

Best Practices for Integrating Different Big Data Sources

Data organization eliminates potential future problems

Choosing when to adopt a data warehouse largely depends on how easily and effectively your organization can manage multiple data sources. When you do decide to combine all data sources into one central location, the decisions become more uniform. You can, of course, approach the integration of all data sources into a data warehouse in your own way, but if you’re not careful, you could create more problems than you solve.

To extract your data and load it into the new data warehouse, there are some basic must-follow rules that help avoid problems down the road. This process is often abbreviated to ETL, or Extract, Transform, Load. Let’s take a look at the steps and examine the best practices for each.

Extraction
There are quite a few things that could go wrong during the extraction process. This is when you’ll copy all the data from every data source in your company, including proprietary databases, files you’ve uploaded during your several years in business, APIs, and even all of your files within any cloud-based storage services you may use.

This may not sound too hard, but there are a few mistakes many make right from the beginning. The most common is copying all data every time they sync with the data warehouse. Consider the data sources you’ll be integrating into the new data warehouse. Do you really have the time or space to copy and transfer those millions of records every time? The time this takes can be a pain, which causes many companies to start relaxing how often and how much data they sync, without any real plan. You definitely don’t want to get your company into this type of situation.

Transformation
One big step toward ensuring you don’t copy and sync every file every time is to cleanse and optimize your data. During this step, the files will be denormalized and pre-calculated so that analysis is easier. By denormalized and pre-calculated, we mean that any inconsistencies will be discovered and resolved. Links with various tags will be standardized, notes and statuses will be examined and organized, and any methods for accessing data will be streamlined.

With these steps complete, there will be no need to continually copy and transfer the same data over and over. You can simply identify the new data, cleanse and denormalize, and then sync with the data warehouse.

Loading
Loading the data into the new data warehouse might be the easiest step, but you could still make critical errors if you’re not careful. You’ll still be working with several different types of information, and one mistake could corrupt several files at once.

Keep in mind that loading the millions of files your company has can take a lot of time, too. You don’t want to cut corners or walk away while the information is being transferred. To do so could result in the loss of vital information. Of course, you can always access this data again from the original sources, but going through the same process multiple times is a waste of company resources and time.

With all your information in one central place, there will never be the need to access several different data sources. You’ll save time, which saves money. You’ll avoid mistakes, which saves money. And you’ll save on additional equipment, which definitely saves money.

Are you ready to integrate all your data sources into one data warehouse? We’re happy to answer any questions you might have, so leave a comment to start the conversation!

More Stories By Keith Cawley

Keith Cawley is the media relations manager at TechnologyAdvice. a market leader in business technology recommendations. He covers a variety of business technology topics, including gamification, business intelligence, and healthcare IT.

Microservices Articles
Modern software design has fundamentally changed how we manage applications, causing many to turn to containers as the new virtual machine for resource management. As container adoption grows beyond stateless applications to stateful workloads, the need for persistent storage is foundational - something customers routinely cite as a top pain point. In his session at @DevOpsSummit at 21st Cloud Expo, Bill Borsari, Head of Systems Engineering at Datera, explored how organizations can reap the bene...
In his session at 20th Cloud Expo, Mike Johnston, an infrastructure engineer at Supergiant.io, discussed how to use Kubernetes to set up a SaaS infrastructure for your business. Mike Johnston is an infrastructure engineer at Supergiant.io with over 12 years of experience designing, deploying, and maintaining server and workstation infrastructure at all scales. He has experience with brick and mortar data centers as well as cloud providers like Digital Ocean, Amazon Web Services, and Rackspace. H...
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term.
Most DevOps journeys involve several phases of maturity. Research shows that the inflection point where organizations begin to see maximum value is when they implement tight integration deploying their code to their infrastructure. Success at this level is the last barrier to at-will deployment. Storage, for instance, is more capable than where we read and write data. In his session at @DevOpsSummit at 20th Cloud Expo, Josh Atwell, a Developer Advocate for NetApp, will discuss the role and value...
SYS-CON Events announced today that DatacenterDynamics has been named “Media Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY. DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
Consumer-driven contracts are an essential part of a mature microservice testing portfolio enabling independent service deployments. In this presentation we'll provide an overview of the tools, patterns and pain points we've seen when implementing contract testing in large development organizations.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
In his session at 20th Cloud Expo, Scott Davis, CTO of Embotics, discussed how automation can provide the dynamic management required to cost-effectively deliver microservices and container solutions at scale. He also discussed how flexible automation is the key to effectively bridging and seamlessly coordinating both IT and developer needs for component orchestration across disparate clouds – an increasingly important requirement at today’s multi-cloud enterprise.