WhitePaper

In this white paper, we explain what a modern data platform is and why it is better equipped to solve today data challenges compared to the traditional data warehouse.

The Data Warehouse is Dead. Long Live the Data Platform.

The data warehouse, the traditional repository of integrated data, is experiencing pressure from increasing data volumes, more users and tight budgets triple threat to its ongoing existence and value.
According to Gartner, 81 percent of organizations are reporting a demand for new data types. And the number of organizations that deliver and access new, non-relational data types is expected to increase from 8 percent to 38 percent. These are just a couple of the trends that are putting pressure on data warehouses.
So what the future of the traditional data warehouse? The answer lies in the new technologies that extend data warehousing capabilities to deliver more data to more users to deliver better business insights faster. We call this new breed of data warehouse the data platform.

Download this white paper to:

Learn how the role of DBAs changes with IaaS, DBaaS, and hybrid architectures
Understand the role of database administration services in the cloud
Plan your cloud migration strategy and DBA resources/training needs
Discover the pros and cons of IaaS, DBaaS, and hybrid architectures

Examining the challenges of managing databases in the cloud

The adoption of public cloud services continues to soar, with an increasing number of businesses deciding to adopt Infrastructure-as-a-Service (IaaS), Database-as-a-Service (DBaaS), or a hybrid architecture. As a result, the role of DBAs has changed significantly.
This white paper examines the evolving role of DBAs in the cloud and discusses how database administration services fit into this new landscape of managing databases in the public cloud.

Best Practices for Migrating Teradata to Google Cloud Platform

Google BigQuery is a serverless, highly scalable, low cost enterprise data warehouse designed to make data analysts more productive. Because it enables you to experiment with enormous datasets without compromise, you can build complex analytics applications.
If you are thinking of migrating from Teradata to BigQuery, there are some key factors to be considered before, during, and after migration. This white paper provides a framework to guide you through all of these phases, helping you to get the most from this powerful cloud data warehouse.

Download this white paper to learn about:

When it makes sense to migrate to BigQuery, and when it does not
The key areas to consider when planning for and implementing a migration of this nature
Pre-migration considerations like how to approach cost control tools, data transformations and continuous data ingestion
Step-by-step instructions on how to set up a data migration pipeline from Teradata to BigQuery
Post-migration procedures like how to monitor your BigQuery database using Stackdriver, analyzing logs and validating data quality

See How You Can Benefit From Our Whitepaper

This white paper examines the evolving role of DBAs in the cloud and discusses how database administration services fit into this new landscape of managing databases in the public cloud.

We Call You Back

Request a Call

Let's Talk Business

Talk to a Specialist

MindForce is a Data Management and Consulting company that leverages latest technologies (on-premise, cloud and multi-cloud solutions ) to build higher value technical solutions for customers worldwide. MindForce help organizations transform data into tactical insight for informed & Timely business decisions.

Send an Email info@mindforcesys.com