We are a data-centric engendering company which could help in a wide spectrum of cloud solutions. Beginning from helping you with cloud transformation moving your on – premise infrastructure and services to cloud or build hybrid solution ending on building cloud native services and applications.
We can provide you with a wide range of expertise from helping with choosing or tailored to
your business needs: architecture, platform provider and toolset.
- On-premises – Cloud Solution migrations
- Building cloud native services and applications
- Cost and performance optimization of cloud solutions
- Building complex cross cloud data integration tools
- Building ML and AI analyses platforms
Cloud services we perform
- Data discovery & Data maturity assessment
- Data quality checks and standardization services
- Cloud based scalable solutions for large volumes of data
- Real-time and batch data processing
- Optimization of database and data warehouse platforms
- Advanced data analytics
- Web API & data streaming development
- Agile and customer-oriented work process
Data Architecture
- Design DE cloud solutions designed by a team of certified experts
- Preparation and automation of ETL processes for multi-structured data
- Design optimization of database and data warehouse platforms
- Preparation of software solutions for integrating systems
Data Processing
- Implementation of scalable data driven solutions
- Real-time and batch data pipelines & processing
- Data quality and standardization services
- Data integration & maintenance services
- Data Lakes and Data Warehouses setup
<span data-metadata=""><span data-buffer="">Data Analytics
- Consultancy and preparation of a plan for analytical method development
- Preparation of recommendation systems
- Searching for patterns in sequential data
- Quality evaluation of organizations analytical products
Benefits of Cloud services
How can your organization benefit from a Cloud Solution?
- Reduction of capital expenditures
- Scalability up and down
- Efficiency and cost reduction – better resource utilization, lack of direct costs of hardware maintain especially in SaaS model
- Built in Disaster Data recovery tools
- Security on the infrastructure level
- Allows for easy data centralization and consolidation
- Global availability
Our Clients
Here are some of our clients that trust us with their online solutions
Our Technology Tool Stack
Cloud Toolset
- Analytical Databases: Big Query, Redshift, Synapse
- ETL: Databricks, DataFlow, DataPrep, Fivetran, Matillion, Streamsets and Hevo
- Scalable Compute Engines: GKE, AKS, EC2, DataProc
- Process Orchestration: AirFlow / Composer, Bat
- Platform Deployment & Scaling: terraform, custom tools
Open Source
- Support for all Hadoop distributions: Cloudera, Hortonworks, MapR
- Hadoop tools: hdfs, hive, pig, spark, flink
- No SQL Databases: Cassandra MongoDB, Hbase, Phoenix
- Process Automation: oozie, Airflow
<span data-metadata=""><span data-buffer="">Visualisation Tools
- Power BI
- Tableau
- Data Studio
- D3.js
- Qlikview
- QlikSense
- Cognos
<span data-metadata=""><span data-buffer="">Programming Skills
- Python: numpy, pandas, matplotlib, scikit-learn, scipy, spark, pyspark & more
- Scala, Java
- SQL, T-SQL, H-SQL, PL/SQL
Data platforms
- Snowflake
- Azure Synapse
- Databricks
- Bigquery
- Salesforce
- Sap
- Teradata
Cloud Solutions FAQ
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1.What is cloud computing?
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2.What are the benefits of cloud computing?
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3.How can organizations ensure data security in the cloud?
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4. How can organizations ensure data privacy in the cloud?
Cloud computing is the delivery of computing services, such as servers, storage, databases, networking, software, analytics, and intelligence, over the internet to offer faster innovation, flexible resources, and economies of scale.
a) Cost savings: Cloud computing eliminates the need for expensive hardware and software infrastructure, reducing capital and operational costs.
b) Scalability: Cloud computing allows organizations to scale resources up or down as needed, without the need for additional hardware or software infrastructure.
c) Flexibility: Cloud computing offers a wide range of computing resources and services, allowing organizations to choose the best fit for their needs.
d) Accessibility: Cloud computing allows users to access resources and services from anywhere with an internet connection, improving productivity and collaboration.
e) Security: Cloud computing providers offer robust security measures to protect data and resources, including encryption, access controls, and data backup and recovery.
f) Disaster recovery: Cloud computing allows organizations to quickly and easily recover from disasters, as resources and services can be easily replicated in multiple locations.
a) Encryption: Encrypt data both in transit and at rest to prevent unauthorized access.
b) Access controls: Implement access controls to ensure that only authorized users can access resources and services.
c) Data backup and recovery: Regularly backup data and test recovery procedures to ensure that data can be quickly and easily recovered in the event of a disaster.
d) Multi-factor authentication: Require users to provide multiple forms of identification, such as a password and a security token, to access resources and services.
e) Regular security assessments: Regularly assess the security of resources and services to identify and address any vulnerabilities.
a) Data minimization: Only collect and process the data that is necessary to achieve your organization's objectives.
b) Data retention: Retain data for only as long as it is necessary to achieve your organization's objectives.
c) Data anonymization: Anonymize data where possible to reduce the risk of unauthorized access and misuse.
d) Data masking: Mask sensitive data where possible to reduce the risk of unauthorized access and misuse.
d) Regular data privacy assessments: Regularly assess the data privacy risks associated with your organization's data and the cloud services you are using to ensure that data privacy requirements are being met.
9.How can organizations ensure data governance in the cloud?
a) Data classification: Classify data based on its sensitivity and importance to your organization.
b) Data ownership: Clearly define data ownership and responsibilities to ensure that data is being managed effectively and efficiently.
c) Data access controls: Implement access controls to ensure that only authorized users can access data.
d) Data retention policies: Implement data retention policies to ensure that data is being retained for the appropriate amount of time.
e) Data backup and recovery policies: Implement data backup and recovery policies to ensure that data can be quickly and easily recovered in the event of a disaster.
How can organizations ensure data availability in the cloud?
a) Redundancy: Implement redundancy to ensure that resources and services are available in the event of a failure.
b) Disaster recovery: Implement disaster recovery procedures to ensure that data and resources can be quickly and easily recovered in the event of a disaster.
c) Regular testing: Regularly test disaster recovery procedures to ensure that they are effective.
d) Regular maintenance: Regularly maintain resources and services to ensure that they are operating effectively and efficiently.
e) Regular monitoring: Regularly monitor resources and services to ensure that they are available and performing as expected
