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Data Warehouse in the Cloud – A One-stop solution?

Data Warehouse in the Cloud – A One-stop solution?

Data Warehouse in the Cloud – A Complete Solution to Empower Your Organization  

Are you unable to scale your computer platform to meet the current growth in data, is it difficult to handle multiple data types in an era of IoT and Big data? All these questions will come up in your mind and distract you away from your business goals. First, let’s talk about Data warehouses and what is your business needs from your enterprise data collection.  

The data warehouse is a set centralized data repository that integrates data from various transactional, legacy, or external systems, applications, and sources. The data warehouse creates an environment that is separate from the operational systems and is completely designed for decision-support, analytical-reporting, ad-hoc queries, and data mining. This isolation and optimization enable queries to be performed without any impact on the systems that support the business’ primary transactions (i.e transactional and operational systems).  

Cloud-based data warehouses take advantage of the core benefits associated with on-demand computing including far-reaching user access, seemingly limitless storage, and increased computational capacity, as well as the ability to scale while paying only for what is used. Some great cloud-based data warehouses are Amazon Redshift, Microsoft Azure, and SnowflakeDB.  

When a data warehouse is in the cloud, then data integration tools play an important role in turning your data into useful, actionable information. Traditional extract and load tools cannot scale to move shifting amounts of Big Data to a cloud data warehouse. Snaplogic’s web-driven AI-powered tools enable customers to integrate their data seamlessly and without additional coding.  

What Data Warehouse in the Cloud services can offer?  

Completely automated database for self-tuning, patches, upgrade itself while the system is running and adaptive caching and indexing all powered by Oracle Exadata engineered infrastructure.  

  • Compute highly Elastic platform – Prefigured compute and storage shapes can instantly scale up /Down.  
  • Web-based SWL tool (Built-in) – Readymade tool optimized to run from your browser.  
  • Enterprise-grade security – Data that is encrypted by default in the cloud as well as in transit.  

Top firms differentiate themselves through analytics, these pioneers leveraging their competitive advantage by extracting value from all their data sources so let’s see what are the benefits behind a successful DW implementation.  

Best Decision-Making – Data warehouses store credible facts and statistics, and decision-makers will be able to retrieve that information from the data warehouse based on their personal needs. Apart from making strategic decisions, a data warehouse can also assist in marketing segmentation, inventory management, financial management, and sales  

Quick and easy data access – Business users can quickly access data from multiple sources from a data warehouse, meaning that precious time won’t be wasted on retrieving data from multiple sources. This entitles you to make quick and accurate decisions, with little or no support from your IT department.  

Consistency and Quality of Data – Since data warehouses gather information from different sources and convert it into a single and widely used format, departments will produce results that are in line and consistent with each other. When you have standardized data, you can have confidence in its accuracy, and accurate data is what makes for strong business decisions.  

Data Warehouse in the Cloud vs Traditional Data Warehouse  

A data warehouse is a system that collects data from a wide range of sources within an organization. Data warehouses are used as centralized data repositories for analytical and reporting purposes. A traditional data warehouse is located on-site at your offices. You purchase the hardware, the server rooms, and hire the staff to run it. They are also called on-premise data warehouses.  

Cloud data warehouses are new and constantly changing. To best understand their fundamental concepts, it is best to learn about the leading cloud data warehouse solutions. Three leading cloud data warehouse solutions are Amazon Redshift, Google BigQuery, and Panoply.   

Bottomline  

What makes data warehousing a field to look after is that in the past only big companies used to use data for predicting the company’s growth but with the advancements in the field of computing (like AWS, Hadoop, etc) even smaller emerging companies can leverage this practice and hence the need of data warehouse engineer demand grew exponentially. These days, without a proper analysis, a company is lost in the marker and if an analysis is the heart of the company then data is the blood.  Techruit Solutions offers Data Warehouse as a Service to companies of all sizes to implement a new warehouse or restructure an existing warehouse. 

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