Data Science & Data Engineering Services

Data Engineering Consulting Services

• We offer comprehensive data engineering consulting services to revolve challenges associated with data by constructing streamlined data pipelines that revitalize platforms and facilitate swift integration of AI technologies.
• Our focus is on enhancing data organization and management, expediting insight generation, constructing predictive frameworks, and establishing seamless collaboration with data science units. Our end-to-end data engineering services ensure maximizing the returns on your data investments.

Data Governance Services

• We help organizations take control of their data, ensure its quality, integrity, and compliance, and drive strategic decision-making with our data governance services. Our expert team specializes in designing and implementing robust data governance frameworks tailored to your unique business needs.
• Our services are designed to provide you with a structured approach to managing and leveraging your data assets. With a deep understanding of industry regulations and best practices, we guide you through the process of defining data ownership, responsibilities, and policies.

Data Modernization & Migration Services

We empower businesses to cut infrastructure costs and scale IT systems with our data modernization and migration services. Our cloud modernization approach is designed for swift and seamless execution, minimizing risks, and providing flexibility throughout the entire process including strategy, planning, design, and testing.

How Our Data Modernization Services Can Benefit You:

• Improved data quality and accuracy
• Increased agility and scalability
• Reduced costs and Enhanced security
• Enhanced decision-making
• Increased customer satisfaction

Data Analytics Services

• We offer cutting-edge Data Analytics Services designed to transform your raw data into actionable insights, empowering your business to make informed decisions, uncover hidden opportunities, and drive strategic growth.
• Our expert data analytics team combines advanced analytics techniques with domain expertise to deliver meaningful solutions tailored to your unique business needs. Any business transformation starts with a data and analytics strategy. We work with you to develop robust, advanced approaches that open the path for advancement.

Business Intelligence

• Business process design, development, and deployment, as well as integration, support, and management of platforms and applications for technologies and applications.
• Business intelligence (BI) services assist you in enabling structured, data-driven decision-making throughout the organization. As an experienced BI solution provider, Cloud Destinations integrates data from many sources and using analytical methods to automatically extract insights from your data.
• These consist of business and infrastructure applications for BI platforms, analytical needs, and data warehousing infrastructure. Along with the standard BI platform, data warehouse/data infrastructure, and data quality sectors, solutions also cover corporate performance management (CPM) and analytics.

How our BI services can benefit you

BI provides descriptive analysis and diagnostic tools

Companies felt that BI systems helped them the most with faster reporting, planning, and analysis. Responding companies ranked their ability to report, plan, and analyze data as “good” after implementing a business intelligence suite.

Increased accuracy

Among the companies surveyed, 56% felt that business intelligence data increased the accuracy of their business analysis and planning.

Helped considerably with sales forecasting

Among the many tasks that companies felt that business intelligence data helped with, Ranked sales forecasting and planning as the area receiving the most benefit from BI data. Other areas where they felt that BI data provided assistance were customer behavior analysis and a unified view of customers.

Improved Optimization

Optimization benefited somewhat from the implementation of a BI system. The additional data derived from their BI system helped our clients improve their business process to become more competitive, as well as improve the attractiveness of their Services.

Data Warehousing & Data Lake

You are at the right destination, we map & manage all your data.

Our certified engineers will create a destination database that centralizes an enterprise’s data from all of its source systems. It is a relational database since you can join data from different tables using the joint field as presented in a so-called physical data model. The database schema defines relations between different tables. Typical Datawarehouses include Snowflake, BigQuery, Azure ADF, AWS Redshift, Hadoop, MSSQL, PostgreSQL, Oracle.

Data Warehouse

We are expert engineers in cloud datawarehousing and help you manage the data with better performance and optimal cost.

A data warehouse follows the schema-on-write pattern, where the design fits the answers to the expected questions.

Our expert Data engineering team with a wide range of tool knowledge to simply the data warehouse architecture processes and provide you with the results.

Data Lake

The data lake has a schema-on-the-read approach. It stores raw data and is set up in a way that does not require defining the data structure and schema in the first place.

So, instead of the typical Extract, Transform and Load process in data warehousing, We use Extract, Load, and Transform processes in Data lake, which is used for its cost efficiency and exploration purposes.

A Data lake architecture enables businesses to gain insights not only from the processed and governed data but also from raw data that was not available for analysis before. From that, raw data exploration can potentially trigger business questions. Put it differently, without knowing how the water is in a lake, who would want to go swim in it? Business users can’t utilize the data lake if they don’t trust the data quality of that lake.

ETL/ELT Development

• In an ETL workload, the data which is required only for analytics or reporting is being loaded into the warehouse. This unstructured, extracted data is made available to your business intelligence systems. There is no need for data staging. ELT leverages, Data warehousing to basic data transformations, such as data validation or removal of duplicated data.
• The ETL process is more data intensive than the ELT process, which is based on hard-coded SQL scripts. In ETL, we can add or remove columns while transforming the data in the ETL tool. This process only requires periodic updates of information, rather than real-time updates.
• Companies that are merging their ventures may have multiple consumers, supplies, and partners in common. ETL works to transform the data into a unified format before loading it onto the target data location. Cloud Destinations is a strategic technical partner with Snaplogic and Matillion, the high-end ETL/ELT tools in the market. Our engineers are experts in Snaplogic, Matillion, Talend, Informatica, Python, Microsoft SSIS. Organizations that need to migrate and update their data from legacy systems require the ETL process.

Artificial Intelligence

A well-established data pipeline is our pinnacle of efficiency and reliability.

Machine Learning

We use machine learning algorithms in data science when we want to make accurate estimates about a given set of data for your requirements—The algorithm will learn from the examples until it can accurately predict whether the test cases have been proved.

Our clients will benefit from machine learning's ability to recognize patterns in data, which we then use to forecast the outcomes of brand-new data points. We construct the data set and accurately transform the data in order to make those predictions. Data science is all about drawing conclusions from unprocessed data. This may be achieved by studying the intricate patterns and trends in the data at a very detailed level.