Building a solid foundation
Managing data could be overwhelming, and you'll not be the only one. Majority of businesses generally do not plan their data management. Our expert data management team of consultants, can help you develop a data ecosystem that is cohesive and accurate. By partnering with Thinking Solution, you get control over your data, that will provide you with clear and specific business information, leading to better decisions and greater efficiency, which are key to beat the competition.
Eventually, the business will be positively impacted by
Using data intelligence derived from our Big Data framework, helps businesses realize benefits from you people, processes, technologies and controls. Big Data has the potential to provide insights from business information. It provides an understanding the business landscape for achieving business goals. The objective of such an exercise should be to analyze and put to use most data available, which normally is missed, directly impacting a business’ ability to include real-time insights available from sensors, machine logs, and most importantly, the social media, among other data sources.
We at Thinking Solution have always ridden ahead of the curve by understanding that the more data you can gather, the better the quality of the solution. Our Big Data analytics consultants are especially recognized for doing the following:
Data Warehouse consultants at Thinking Solution specialize in empowering organizations to manage this data flood. Our data warehouse consulting services help businesses to take advantage of Hadoop-based data lakes within EDW environments, where the Data Lake becomes the primary platform for data landing and staging, ETL processing, and some analytics processing. Data Lakes benefit businesses by providing hands-on control of data preparation, modeling, and reporting.
Data Integration entails blending data from multiple distinct sources, which could be stored using different technologies, to provide a unified view of data. Data Integration all the more imperative, in cases of combining systems involving different companies or consolidating dissimilar applications in the same company, to provide a unified view of the company's data assets. The later initiative is often called a Data Warehouse.
One of the key challenges is the technical implementation of integrating data from disparate sources, which could be incompatible. In order to be effective, a Data Integration exercise should include the following phases:
In computing, extract, transform, load (ETL) is a process in database usage to prepare data for analysis, especially in data warehousing.
Data extraction involves extracting data from homogeneous and/or heterogeneous sources, while data transformation processes data by transforming it into proper storage format/structure for the purposes of querying and analysis. Finally, data loading describes the insertion of data into the final target database such as an operational data store, a data mart, or a data warehouse. A properly designed ETL system extracts data from the source systems, enforces data quality and consistency standards, conforms data so that separate sources can be used together, and finally delivers data in a presentation-ready format so that application developers can build applications and end users can make decisions.
Since data extraction is often time consuming, it is common to execute these exercises in three parallel parts. While the data is being extracted, transformation process executes while processing the data already received and prepares it for loading, while the data loading begins without waiting for completion of the earlier phases.
Generally, ETL systems integrate data from multiple systems, which could be developed and supported by a variety of vendors, or are hosted on hardware or operating systems that are distinct. The distinct systems containing the source data, could be managed and operated by different departments/staff. For example, a cost accounting system may combine data from payroll, sales, and purchasing.
Thinking Solution data migration experts help enterprises successfully move their data to better navigate the digital landscape and create strategic solutions that deliver tangible business results.
Data migration can be a challenging step to undertake, but is surely the most important component of any program that involves a change involving data. Data Migration needs come up very often, resulting from storage upgrades, updates by application vendors or storage transformation projects. Therefore, it is important that all enterprise level entities are sure about the provider. Over the years, we have learnt that a seamless migration is a very important part to the success of any project, usually requiring coordination among different stakeholders.
Irrespective of the data format - file, block, object or cloud; or its location, Thinking Solution data migration consultants can help to get your data where it needs to go. Our experts use proven methodologies that include industry specific best practices and adhere to legal requirements and data privacy standards. Data migrations performed by our professionals are executed quickly and seamlessly, always prioritizing security, certainly keeping it at the top of list of requirements, as well as ensuring non-disruption and flexibility as a core part of the process.
Our data management consultancy helps companies translate business goals into technology solutions that enable data-driven decision making for continued success. From data strategy to implementation, we help you navigate the data management lifecycle to drive your business goals.
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