Big Data & Analytics
Our big data developers use cutting-edge modern technologies to deliver big data solutions that handle massive volumes of information and thus extract useful insights for better business decision-making.
01
Data & Analytics
Data Analytics is the process of examining, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. By analyzing data, businesses can gain valuable insights into their operations, customers, and markets, and use this information to make informed decisions, improve processes, and drive growth.
Technologies
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Apache Spark
Apache Hive
Apache Cassandra
Splunk
ElasticSearch
MapReduce
- By analyzing data, businesses can make more informed decisions, as they have access to accurate, relevant, and up-to-date information.
- Data Analytics can help businesses identify areas for improvement and automate processes, leading to increased efficiency and cost savings.
- Data Analytics can provide businesses with insights into customer behavior, preferences and needs, allowing them to better understand and meet their customers' needs.
- End-to-end solutions including delivery to required Data Warehouses (including on-prem).
02
Data Warehouse
Data Warehousing refers to the process of collecting, storing, and organizing large amounts of data in a centralized repository. The purpose of data warehousing is to provide organizations with a single source of truth for all their data, making it easier to perform data analysis, reporting, and data-driven decision making.
Technologies
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Apache Hadoop
Snowflake
Amazon RedShift
Google BigQuery
Azure Synapse Analytics
Apache Hive
- Data warehousing makes it easier for organizations to access and analyze their data, enabling them to make more informed business decisions.
- Data warehousing can help improve the quality of data by standardizing and integrating data from multiple sources. This can reduce the risk of data inconsistencies and errors.
- Data warehousing can automate many manual data-related processes, saving time and increasing efficiency for organizations.
- Data warehousing provides a centralized repository for data, reducing the risk of data loss or theft. Additionally, data warehousing solutions typically offer robust security features to ensure that data is protected from unauthorized access.
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Real-time Data Processing
Real-time data processing refers to the instantaneous ingestion and analysis of incoming data points. A continuous data stream is processed as received, and outcomes are stored for review or record.
Technologies
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Apache Spark Streaming
Google Cloud DataFlow
Amazon Kinesis
Apache Kafka
Apache Storm
Azure Stream Analytics
- Seamless application experience enabled by responsive application attributes due to real-time analytics.
- Real-time analytics can detect anomalies and alert to fraudulent activity, improving risk management and keeping end users (and their data) safe.
- Real-time data analysis is crucial for tracking scores, rewards, and statuses.
- Real-time data processing increases agility, lowers risk, and informs better business decisions that benefit both organizations and end users.
04
BI & Data Visualization
Business Intelligence (BI) refers to the process of transforming data into actionable insights and information that can be used to support decision making. It is a set of techniques and tools that organizations use to collect, store, access, and analyze data in order to gain a better understanding of their business operations.
Technologies
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Tableau
JupyterR
Google Chart
Google Data Studio
Apache Storm
Power BI
- With access to accurate and up-to-date information, organizations can make more informed decisions, leading to better outcomes and increased efficiency.
- BI provides a centralized view of data from across an organization, enabling executives and managers to gain a better understanding of their business operations and identify areas for improvement.
- By using BI to monitor customer behavior and preferences, organizations can provide more personalized and relevant experiences, leading to increased customer satisfaction and loyalty.
- By using BI to analyze market trends and competitors, organizations can gain a competitive edge and make better business decisions.
- BI can help organizations identify areas where they can reduce costs and increase efficiency, leading to significant cost savings over time.