WCI Data Solutions

Yes. Contact us to learn more.

MicroStrategy Services We Provide Include: Custom Development Data Management Consulting Big Data Consulting Enterprise Data Strategy Master Data Management (MDM) Consulting Support & Training Support

Our Azure services include consulting, integration, and development, focusing on data management, business intelligence, and data analytics: Azure Cloud Migration Big Data on Azure Data Analytics Platform on Azure Azure Data Warehousing Azure Data Lake Consulting & Development

Yes, we have a team of expert Azure developers ready to help with everything from migrating to the Azure cloud to getting that data into the hands of users.

Yes. All of WCI’s experts are based in the United States, including our Azure experts.

AWS offers a secure infrastructure, rapid scalability, and the ability to process enormous volumes of data of any type, giving you an impressive competitive advantage in your market. Other benefits include: Becoming more agile. The ability to quickly scale and provision the resources you need on-demand. Quickly, efficiently, and affordably loading your data into a traditional DBMS, NoSQL database, or AWS’ native data warehouse service Amazon Redshift, and transforming it into an analytics-ready state. Reducing TCO with pay-as-you-go pricing and minimizing significant upfront investments in hardware. Easy integrations with data visualizationand BI platforms like Tableau, Qlik, and Power BI, which can be utilized to create fast, interactive, easy and shareable visual analytics.

A suite of tools used in concert to deliver meaningful data to your users.

Absolutely. Harmonizing data from numerous sources produces greater value over time.

Some reasons to choose Azure for big data are: It is a trusted and secure platform Azure’s big data policies, controls and processes are: Able to comply with over 20 regulations Designed with a security-in-layers approach Audited regularly Immediately Available Transfer over your data with ease Access training and tutorials No hardware deployment/ procurement Broad and Deep Capabilities Compatibility with six relational NoSQL and DB engines More than 50 services to choose from Support all workloads, regardless of scale

We offer both! You can speak with us and we will help you determine what makes the most sense for your organization and goals.

It does! Some of the most popular tools are available through Azure.

There are many reasons AWS is the best choice for big data: Trusted and Secure Platform All of AWS’ big data processes, policies and controls are: Designed with a security-in-layers approach Able to comply with more than 20 regulations Regularly audited Immediately Available No hardware procurement/deployment Access to training and tutorials Easily transfer all of your data Broad and Deep Capabilities Over 50 services to pick from Compatibility with six relational NoSQL and DB engines Support for all workloads, regardless of scale

We do it all! We are happy to discuss with you what makes the most sense for your situation and goals.

We do!

Azure has a secure infrastructure, can process large volumes of data of any type, and is rapidly scalable. These result in you having a competitive advantage in your market. There are many other reasons to move to Azure’s data analytics platform, including: Being more agile. Being able to quickly provision and scale the resources you need on-demand. Having the ability to efficiently and affordably load your data into a traditional DBMS or NoSQL database and transform it into an analytics-ready state. Reduced TCO with pay-as-you-go pricing and a minimal upfront investment in hardware. The option to integrate with data visualization and BI platforms like Power BI, Tableau, and Qlik, which can be used to create fast, easy, interactive, and shareable visual analytics.

The Azure Data Analytics Platform is a suite of tools used together to deliver meaningful data to your users.

Yes! Including data from multiple sources offers greater value over time. Contact us for details.

We offer a variety of services, including planning, creating/architecting, migrating to, and managing your Azure data warehouse. Our experienced Azure consultants and developers are ready to help you.

Using Azure for your data warehousing offers many benefits: Trusted & Secure Azure policies, processes, and controls are: Continuously audited Designed with a security-in-layers approach Able to comply with more than 20 regulations Available Right Away Transfer your data easily No hardware procurement/deployment Training and tutorial resources are available Broad & Deep Capabilities Over 50 services to pick from Support any workload, regardless of scale Compatible with six relational DB engines and NoSQL

Azure data warehouse solutions have support for distributed processing frameworks, machine learning and predictive analytics, real-time analytics, and petabyte-scale warehouses.

We do Azure data warehouse consulting and also have developers.

Azure Data Lake Storage is a set of capabilities dedicated to big data analytics, built into Azure Blob storage. It allows you to interface with your data using both file systems and object storage models. Azure Blob storage is comparable to AWS’ S3 and can help you leverage this solution by enabling your applications to store and retrieve content from various cloud storage locations and providers. Learn more.

We offer the expertise, planning and skills to deploy an Azure data lake solution.

We use services in Azure to offer the solution. We help determine which services make the most sense to use in your unique situation.

Yes, we do all steps of the process.

Setting up an Azure data lake involves three steps: 1. Migrate Historical Data We help transfer your historical data over to your new Azure data lake. Our team will extract all of your data into flat files and then bulk upload everything to the new data lake. 2. Set Up Connections Our experienced Azure data lake engineers next create an automated process for data created after the data lake is all setup. Azure cloud-native services will continually pull in up-to-date versions of all of your data to ensure nothing falls through the cracks. 3. Dive into Your Data Lake Because your team can now dynamically collect data from a diverse set of sources, you have the ability to format and review the data in whatever reports you need.

Azure Data Lakes include everything you need to easily store data of any size, shape, and speed. Data lake also performs all of the processing and prepares analytics for your team across your multiple platforms, while removing the complexities of ingesting and storing all of your data. Azure Data Lakes work with existing tools and software within your organization to identify, manage, and secure your data in one place. Data lakes also integrate seamlessly with data stores and data warehouses. That lets you extend current data applications into the new program without reinventing the wheel. Store and analyze endless files and data Develop massive data architects with simplicity Optimize and secure your big data programs with ease Enterprise-level tracking and support Cost-saving advantages and instant scalability

Yes, we can. If you’re currently working with Azure Data Factory, you may be looking for a smart and streamlined way to store and manage your data. An Azure data lake is a perfect solution for your business that allows you to pay for what you use, rent the run-time, and keep all of your programs working together.

Migrating your applications and data to the Microsoft Azure Cloud gives you access to on-demand IT resources designed to help you innovate faster, reduce costs, and operate more securely.

How long the migration will take depends on a few different factors, but generally, we see projects take much less than they ever did with on-premise solutions.

Not usually, most of the time we are able to bring up Azure solutions in parallel to current processes and platforms.

We offer several tools that help you expedite your migration to the cloud, including the ability to import existing virtual machines, leverage existing software licenses, and move your data both quickly and securely.

Because this is all we do, we are experts on the process.

Yes, we do! Having a custom strategy and plan is a major part of your success on Azure.

Yes, we do, our team are experts in both strategizing and actually moving the data to Azure.

Absolutely! We have extensive experience and knowledge in both platforms.

Yes, we can. There are multiple reasons it makes sense to move to cloud-based databases. We can walk you through why this may be the best fit for your organization.

We offer consulting, development, and maintenance. As an AWS Advanced Consulting Partner, we help with creating/architecting, migrating to, and managing your AWS data warehouse.

This depends on each situation as there are several available tools. We will help you determine which is the right one for your organization. As your needs change, the tools can change.

There are many reasons to choose AWS: Trusted & Secure: All AWS policies, controls and processes are: - Designed with a security-in-layers approach - Able to comply with over 20 regulations - Regularly audited Available Immediately - No hardware deployment/ procurement - Transfer your data with no problem - Both training and tutorials are available Broad & Deep Capabilities - More than 50 services to choose from - Compatibility with six relational DB engines and NoSQL - Support all workloads, regardless of scale

We offer consulting and also have developers.

Our team of AWS data lake experts work alongside you as a partner to help better allocate your time, streamline your resources, and save you money in the long run. We work with your team to: Set up the cloud data lake Integrate all of your platforms Seamlessly incorporate all of your data into one easy-to-manage place”

We use services in AWS to provide the solution. We help design out which services make the most sense to use in your situation.

Yes, we do.

The AWS data lake setup is a three-step process: Migrate Historical Data We help with migrating your historical data into your new AWS data lake. If data exists in your databases, our team will help extract all of your data into flat files and bulk upload everything into the new data lake. Set Up Connections Our experienced data lake engineers will create an automated process for data created after the data lake setup. Using AWS cloud-native services lets you continue pulling in up-to-date versions of all of your data. Dive into Your Data Lake Your team dynamically collects data from a diverse set of sources. From there, you can format and review the data in whatever reports you need.

Yes! You can easily use AWS as a data lake platform that integrates seamlessly with other tools you’re already capitalizing on.

Migrating your applications to the cloud gives you access to on-demand IT resources designed to help you innovate faster, reduce costs, and operate more securely. AWS data migration allows you to purchase what you need on-demand and does not require minimum commitments or upfront costs.

While this depends on several factors, we typically see projects taking much less time than they ever did with on-premise solutions.

No, the majority of the time we are able to bring up AWS solutions in parallel to current processes and platforms.

WCI offers several tools that can help you expedite your migration to the cloud, including the ability to import existing virtual machines, leverage existing software licenses, and move your data quickly and securely.

This is the core of our work and all we do, making us experts on the process.

Yes, we do! We know that planning out a custom strategy and plan is key to success.

Yes, we’re experts in both strategizing and actually moving the data to AWS.

Absolutely! We have extensive knowledge and experience in both areas.

Yes, we can. There are many reasons to move to cloud-based databases and we are able to walk you through why this may make sense for your organization.

There are a variety of tool choices with AWS, but most solutions tend to revolve around Redshift, RDS, Lambda, Glue, DataBrew, DynamoDB, and Quicksight. Learn more about using AWS for data analytics and BI.

Our AWS services include consulting, integration, and development, focusing on data management, business intelligence (BI), and data analytics: Migrating to AWS Big Data on AWS Data Analytics Platform on AWS AWS Data Warehousing AWS Data Lakes AWS Data Management Services

Yes, we have expert AWS developers ready to help with everything, including migrating to the AWS cloud. We have a number of certifications and service distinctions with AWS and provide the expertise and the skill set to accomplish your data and analytic needs inside of AWS. WCI’s AWS developers work on things like: AWS Cloud Migration Big Data on AWS Data Analytics Platform on AWS AWS Data Warehousing AWS Data Lake Consultants & Developers AWS Data Management Services

Yes. We also hold numerous other certification and distinctions from AWS, including: Solution Architects Big Data Certificates Data and Analytics Certifications Service Delivery Designations We’re an Advanced AWS Consulting Partner.

Yes, all of our AWS experts are located in the US (we don’t use any international consultants for any of our services).