Data discovery is the process of gathering and analyzing data from multiple sources with the goal of identifying patterns and trends. Typically connected to business intelligence (BI). Data maturity assessments (DMA) are crucial to business strategies, enabling quicker insights and market predictions.
Your information will be transformed and standardized as part of our data standardization service with the goal of enhancing its quality. Organizations frequently get data in a variety of forms and from a variety of sources.
Techmango’s helps you with handling all of your data integration including ingestion, ETL, ELT, CDC, streaming analytics, data preparation, machine learning, advanced analytics, and more. We help companies to build that prioritize the cloud. Regardless of expertise level, anyone can quickly create and deploy pipelines using this.
Integrating data in real-time is exactly what real-time data processing entails. However, since processing and transporting data are obviously not instantaneous, the notion of "real-time" is worth addressing. In contrast, batch data-based integration entails keeping all received data until a particular amount is gathered, at which point it is processed in batches.
In data warehouses, optimization and tuning refer to the procedures of choosing appropriate optimization strategies in order to speed up queries and updates and preserve their performance by physical design and tuning, perform denormalization, advanced index schemes, vertical and horizontal partitioning, parallel processing, and materialized views
It refers to the use of sophisticated techniques and tools to extract insights from complex and large data sets. It involves the use of statistical algorithms, machine learning, and data mining techniques to identify patterns, predict outcomes, and uncover hidden relationships.
Techmango is an established Data Engineering consulting firm. We assist businesses everywhere in the world in getting the most out of the data they process daily. First, our data engineering team conducts workshops and discovery conversations with possible end users. The technical departments then provide us with all the information we want.
We collaborate closely with the customer teams to comprehend business objectives and provide guidance on the new cloud. We provide information on data engineering technologies available on the market and contrast and evaluate the many design possibilities to help you choose the best architecture and technology for your needs.
With years of practical experience integrating proprietary and open source technologies like Databricks, Snowflake, Talend, Microsoft, Amazon, Google, Scala, and Spark, Techmango has assembled a team of highly specialised professionals. We put a lot of emphasis on the “depth” approach across all dimensions, including price and quality.
Long-term stability and CI/CD best practices are incorporated into the design of the Build-and-Deploy process to assist minimize problems with late, missing, or inaccurate data. Our automated data quality system gives proactive warnings for circumstances that are likely to result in problems.
Data engineering also plays a crucial role in ensuring data security and compliance. With data privacy regulations like GDPR and CCPA, companies must ensure that their data is stored, processed, and analyzed in compliance with these regulations.
Creating, implementing, and maintaining production-quality end-to-end automated data pipelines.
The data engineering consulting team at Techmango has significant expertise in setting up automated data pipelines both locally and remotely.
ETL/ELT (extract, transform (load), load (transform)) and data preparation and processing aid in the processing, transformation, and loading of data into the necessary data model for business reporting and advanced analytics. Such pipelines have been created by our data engineering team for a variety of business areas, including finance, sales, supply chain, and others.
The most effective and innovative solution for economical data storage and speedy processing is a data lake. Your company’s adoption of data lakes might help you grow your corporate data architecture. Customer data platforms, IoT data reporting, product traceability, and other client business difficulties have all been addressed by Techmango using data lake solutions.
Our data engineering services include data ingestion, data transformation, data modeling, data warehousing, and data visualization. We use state-of-the-art tools and technologies to ensure that your data is accurate, reliable, and easily accessible.
We enjoy honoring our accomplishments. They serve as a reminder of the positive impact we have on society and the joy our staff members have in working for one of the fastest-growing technology firms.
eCommerce
Edutech
Healthcare
Logistics & Supply chain
Media & Entertainment
Real Estate
Finance / Insurance
Manufacturing
We enable customers to leverage data to track and drive key parameters impacting revenue, customer satisfaction, and efficiency to stay on top of the competition
Taking this chance to thank Techmango’s Qlick support team for creating our OTC dashboards which is important for our process, in my opinion. The current invoice Generations apps, which are most crucial, provide an executive-level dashboard and are in line with the new standards. Good work, team. Your expectations are high, and there is a queue outside your door for business initiatives. I appreciate your great effort.
I wanted to extend a heartfelt thank you to the Techmango team for their excellent work with us. I would describe it as a very enjoyable and straightforward smooth, easy progress where they were really taking the lead, helping us to avoid any kind of landmines, and made this whole journey very successful in that regard.
We have been in contact ever since I started the business three and a half years ago, and you guys have been instrumental in getting the word out about our product. To begin with, let me express my profound gratitude to each and every one of you. In the United States, where we have expanded, the company now has more than 30 people. You have done an amazing technological job for us. I really thank you.
The world of enthusiasts wants to know how can data analytics help them to stay ahead of competition with Automation, Artificial intelligence in place. We are pleased to share few of our successful implementations as a Case study.
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case study
case study
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