Data Warehousing We help you create data warehouse by data cleaning, integration, and consolidation.

GENERATE RELEVANT ANALYTICS

A data warehouse is a key aspect of any business. It’s a place where all the data of an enterprise is stored from heterogeneous sources so all the analysis can be made on that data to derive key decisions or form any strategy.

A data warehouse works as a central store where information arrives from the integration of one or more data sources. Data flows into a data warehouse from the transactional system like CCTV camera and other relational databases like MySQL, MongoDB, Neo4j etc.

DATA CLASSIFICATIONS

  • Structured like employee information, inventory management, etc
  • Semi-structured like custom forms etc.
  • Unstructured data like video recording, audio, etc.

The data is extracted, transformed, and loaded so that users can access the processed data in the data warehouse through BI tools, SQL clients, and spreadsheets. A data warehouse merges information coming from different sources into one datastore. By combining all of this information in one place, an organization can examine its customers more holistically. This ensures that it has considered all the information available. Data warehousing helps in making data mining possible.

TYPES OF DATA WAREHOUSE

Reed Data Analytics has a team of expert Data Engineers and data scientists to help you build a robust, secure, and fault-tolerant architecture of your data warehouse. Our data engineers are highly experienced to Construct unique architecture and conceptual data model for a variety of data warehouse types.

ENTERPRISE

Enterprise Data Warehouse is a centralized warehouse that provides decision support services across the enterprise. It offers a unified approach for organizing and representing data. It also provide the ability to classify data according to the subject and give access according to those divisions.

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OPERATIONAL

Operational Data Store, which is also called ODS, are nothing but data store required when neither Data warehouse nor OLTP systems support organizations reporting needs. In ODS, Data warehouse is refreshed in real-time. Therefore, it is widely preferred for routine activities like storing records of the employees.

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DATA MART

A data mart is a subdivision of the data warehouse. It is designed for a particular line of business, such as sales, or finance. In an independent data mart, the collection of data can be done directly from sources.

 

 

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TOOLS & TECHNOLOGIES WE USE

Here is the list of the tools and technologies we use to provide you the best data warehousing service:

Google BigQuery

Google BigQuery is an enterprise data warehouse that helps in storing and querying massive datasets by enabling super-fast SQL queries using the processing power of Google’s infrastructure.

Amazon Redshift

It is a fully-managed data warehouse service in the cloud. Amazon Redshift helps companies to store and analyze large amounts of data, up to the petabyte scale.                                                                         

Microsoft Azure

It is a cloud computing service created for building, testing, deploying, and managing services & apps through Microsoft-managed data centers.                                                                          

Elasticsearch

It is an open-source, distributed analytics and search engine for all types of data.

Snowflake

It is a cloud-based data warehousing startup that offers data storage and analytics services.

Cloudera Altus

It is a cloud service platform that allows you to use CDH to analyze and process data at scale.

BENEFITS OF DATA WAREHOUSE

Data Quality and Consistency

Implementation of a data warehouse includes the conversion of data from numerous source systems and data files into a standard format. As each data is centralized from various departments, each department produces results that are in line with other departments. This brings accuracy, quality, and consistency in data.

Enhanced Business Intelligence

Merging data from multiple data sources is a common need when conducting business intelligence. For solving this problem, the data warehouse performs the integration of existing data sources and makes them accessible in one place.

Timely Access To Data

The data warehouse enables decision-makers and business users to have access to data from many different sources as they need to have access to the data.

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