Data Warehouse

Utilise a Robust Data Warehouse to Handle the Complexities of Today's Businesses

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

The modern business world comes with a stack of challenges, like managing huge amounts of data due to widespread cloud use and digital changes. There’s a growing reliance on AI and analytics for real-time insights and smart decisions, along with a rising need for data mining to enhance business intelligence (BI). Tackling these challenges calls for a flexible and robust tech solution.

A well-designed data warehouse, smoothly integrated with BI and advanced analytics capabilities, is essential for businesses to handle these challenges and meet the varied data-driven needs of today’s business environment.

Partner with Storata to stay ahead with the latest trends in data warehousing. Check out our range of data warehouse consulting and implementation services, including data warehouse creation, optimisation, legacy-to-cloud migration, cloud-to-cloud migration (like AWS/GCP to Azure), and more.

Combined Excellent Data
Historical and Real-Time Insights
Based on Data Culture
Precise Reporting and Adherence
Collaboration Across the Organisation

Choosing Between Data Lake and Data Warehouse to Resolve the Data Dilemma

A data warehouse is best for structured data, providing high-performance analytics and well defined reporting for business intelligence, whereas a data lake is best at managing large, raw data sets with a variety of forms.

Depending on your unique business requirements and the properties of your data, you must decide between a data lake and a data warehouse. Both strategies have advantages and disadvantages of their own, so businesses need to carefully assess their use cases to choose the best fit. Organisations may be able to get the scale and flexibility they need to handle and analyse data in the digital era by combining data warehouses and lakes.

Organisations may obtain a competitive edge and realise the full potential of their data by utilising the advantages of each strategy.

Our data warehouse consulting and installation services may assist you in making the best decision for your company if you want to know what would work best for it.

Harnessing the Power of a Single Source of Truth

Businesses that engage with expert data warehouse consulting and implementation services gain a significant edge by adopting a robust data warehouse that offers a complete global view of their data. This single source of truth plays a crucial role in spotting trends and behaviours related to customers, products, or services, streamlining business processes, and uncovering valuable actionable insights.

Improved Data Quality
Quicker Business Insights
More Informed Decision-Making

A Strategic Method for Constructing a Data Warehouse

Find out how a well-executed data warehousing system may change your life. Experience the complete range of advantages designed to improve your data capabilities, regardless of whether you decide to build your data warehouse on-premises, in the cloud, or using a dynamic hybrid strategy that combines the best of both environments.

Self-contained Data Warehouse

Utilise our experience and knowledge to create an on-premises data environment that is safe and customised to your unique business requirements.

Data Warehouses on the Cloud and DWaaS

Construct incredibly scalable cloud-based data warehouses or take advantage of fully managed Data Warehouse as a Service (DWaaS) to process and automate data in real-time.

Data Warehouse Hybrid

Get strategic advice to maximise the flexibility of the cloud and the strength of your on-premises data warehouse while simultaneously taking use of the cloud's countless advantages.

All-inclusive Data Processing Techniques

Specifically Designed to Meet Your Business Needs

Our data processing approaches include two unique approaches: the traditional ETL (Extract-Transform-Load) and the more recent ELT (Extract-Load-Transform) approaches. They make use of state-of-the-art Microsoft Azure suite solutions to streamline your data processing procedures.

Azure Data Factory (ADF) serves as a seamless connection for the ETL process in typical data warehousing requirements, pulling data from a variety of source systems. Before being loaded into Azure Data Warehouse for analysis, the data is formatted and converted using Azure Data Factory or Azure Databricks.

Unlike its classic predecessor, the agile ELT data preparation strategy for the current Data Lake environment loads the data extracted by Azure Data Factory into the destination system first, usually Azure Data Lake Storage (ADLS), and then transforms it. Large datasets and intricate transformations may be handled by Azure Databricks within the Data Lake.

All-inclusive Data Processing Techniques

AI-supported ETL Procedures

Improve your data architecture by implementing AI-powered ETL procedures. Transform data integration to adapt to changing business requirements.

Automated Data Purification

Utilise automatic data purification for unmatched efficiency. Promote efficient data quality control.

Intelligent Data Modelling

Make use of AI's capabilities to improve and modify your data structures. Make sure a strong analytics foundation powers your company.

By combining Data Engineering, Data Lake, Data Warehouse, and Data Services into a single platform, Snowflake emphasises data democratisation and makes it easy for businesses to go from data silos to a seamless state, which is essential for a “Single View of Data.”

Our collaboration with Snowflake powers decision transformation for businesses in a variety of sectors by utilising the scalable and extremely secure architecture of Snowflake to offer timely actionable insight.

 

Businesses are adopting the Databricks Lakehouse platform—a ground-breaking end-to-end data warehousing solution—in greater numbers to expedite data engineering and management while guaranteeing security and control. Easily handle all analytics requirements and visualise data with this one platform solution.

Storata is a reliable partner for Databricks deployment and consultation, helping companies to make data-driven choices and generate new income streams with real-time insights.

Azure Synapse Analytics is a potent corporate analytics tool that accelerates insights across data warehouses and big data systems by combining SQL and Apache Spark technologies with Azure Data Explorer. Azure Data Factory (ADF) is a cloud-based integration solution that facilitates automated, flexible, and efficient processes by enabling dependable data pipelines.

Through thoughtful use of the Azure portfolio, our Azure knowledge helps organisations complete mission-critical tasks and maximise performance.

Our knowledge encompasses a number of noteworthy contemporary data warehouse technologies, such as Google BigQuery, Amazon Redshift, and Firebolt, in addition to Snowflake, Databricks, and Azure, allowing companies to optimise the value of their data assets.

Boosting Business Intelligence and Data Transformation Across Industries

Businesses from a variety of sectors, such as manufacturing, banking and financial services, audit, and healthcare, work with us to realise the whole potential of a well-designed data warehouse. We provide more than just setting up a centralised data repository with our data warehouse consulting and implementation services. We collaborate closely with your team to comprehend the particular requirements of your company and create creative new use cases built on a customised data warehousing plan.

Assess the Maturity of Your Data Warehouse

Match Your Business Objectives With Your Analytical Infrastructure

By assessing the current maturity of the data warehouse, standardising data warehouse procedures, and establishing benchmarks to meet the necessary data warehouse maturity level in line with business objectives, Storata’s experts enable organisations to adopt best practices and business intelligence processes. Find the weak points in your data warehousing procedures to improve your data warehousing skills. Make the move from creating a departmental data warehouse to an agile enterprise data warehouse (EDW) with initiative.

Our Offering of Data Warehouse Consultation and Implementation Services

Our extensive array of data warehouse implementation and consulting services is designed to support your company’s expansion and success in the face of shifting market conditions. Our knowledgeable staff specialises in offering innovative solutions that are suitable for tackling the particular problems and objectives of your particular organisation.

  • Data Centre and Commercial
  • The Intelligence Plan
  • Cloud Readiness Evaluation
  • Evaluations of Data Warehouse Maturity
  • Implementing a Data Warehouse
  • Instantaneous Data Retrieval
  • Documentation and Adherence
  • Tailored Integration Solutions
  • Data Transfer Providers
  • Assistance and Training for Data Warehousing
  • Optimisation and Tuning of Performance
  • On-site/Cloud Data Marts and Lakes
Portal