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Big data
as a service

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Transform your big data into actionable insights

Big data contains valuable information that can effectively contribute to your business growth. By utilizing big data services from DashDevs, you can extract this information and use it to make informed technological, marketing, and sales decisions. With BDaaS, you can predict critical business indicators and adjust your business strategy accordingly.

Our big data services include

  • Big data consulting and strategy

    Our team will analyze your current big data infrastructure, identify potential drawbacks, and suggest ways to improve it. If you don't have a big data solution, we will analyze your business and estimate big data projects according to your requirements.

  • Data integration and management

    Consolidate data from multiple sources with our comprehensive data implementation services. We ensure seamless data flow across various systems and platforms and provide a unified and consistent view of your business information.

  • Advanced analytics implementation

    Use machine learning, artificial intelligence, and predictive modeling to analyze complex data sets. Our big data analytics services will help you uncover hidden patterns, forecast trends, and make data-driven decisions that drive business growth.

  • Data visualization

    Turn your complex data into clear and understandable insights with our data service visualization. Benefit from custom dashboards, interactive reports, and visual analytics. Access your data from any preferable device and make decisions on the go.

  • Big Data storage solutions

    Big Data as a Service by DashDevs allows you to store data on any volume, velocity, and variety. You can also expand your storage capacity easily as your data grows and accommodate both structured and unstructured data types.

  • Real-time data processing

    Utilize our advanced big data solutions to handle high-speed data streams efficiently. Process data as it arrives and respond instantly to changing conditions. Achieve minimal processing delay to ensure timely insights and actions.

  • Data security and compliance

    At DashDevs, we prioritize the security, integrity, and confidentiality of your data. During big data implementation, we adhere to regulatory standards and security best practices. We also establish data governance policies to ensure data quality and accountability.

  • Data migration

    Whether you upgrade systems, consolidate databases, or transition to new platforms, our big data service ensures seamless data migration. Our experts will assess your current environment, develop the migration strategy, and minimize disruption to your operations.

  • Big Data infrastructure management

    We provide end-to-end solutions to ensure your big data environment is robust, efficient, and scalable. Key aspects of our infrastructure data implementation include efficient design, high security, effortless scalability, and practical resource management.

Harness insights from every data source you work with

Our team

Industries that benefit from our big data as a service solutions

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    Finance and banking

    Use data as a service to conduct financial market analysis, implement fraud prevention techniques, personalize investment recommendations, and do unbiased credit scoring. By partnering with the best big data company, you can take the most out of your financial data.

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    Health and fitness

    Our advanced data solutions help you to analyze individual health data to provide personalized recommendations, use predictive modeling to identify potential health risks, analyze data from wearable devices to monitor physical activity, and manage data from various sources.

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    E-commerce

    Understand customer behavior, optimize operations, and drive growth. Utilize our big data and analytics services to forecast product demand, manage inventory levels, optimize pricing, and identify suspicious activities and transactions.

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    Travel and hospitality

    Deliver exceptional guest experience by opting for professional big data services. Forecast travel trends, booking patterns, and occupancy rates. Provide personalized travel recommendations and implement real-time pricing strategies based on demand fluctuations.

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    Media

    Revolutionize your media business with cutting-edge big data analytics solutions by DashDevs. With the help of DataaS you can understand audience behavior, optimize content delivery, and enhance user engagement and retention across platforms.

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    Supply chain

    Enhance your supply chain operations by partnering with the best big data companies. Forecast demand and ensure optimal inventory levels. Analyze supplier performance, identify potential risks in the supply chain, and optimize transportation routes with real-time data.

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As a part of big data services we develop

With 14+ years of experience working with big data, we have become experts in creating data-driven insights. No matter how large and unstructured your data is, we will help transform it into a convenient and usable format.

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    Predictive analytics models

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    Predictive analytics modelsWe use statistical and machine learning techniques to analyze historical data and make predictions about future events. By using Data-as-a-Service, you can identify patterns, trends, and relationships in data to forecast outcomes with a high level of probability.

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    Machine learning algorithms

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    Machine learning algorithmsOur expertise in machine learning can help you transform vast amounts of data into actionable intelligence. Key features of our ML algorithm services include supervised and unsupervised learning, reinforcement learning, deep learning, ensemble methods, and NLP.

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    Data governance frameworks

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    Data governance frameworksOur big data cloud services will help you establish robust policies to manage data effectively across your organization. Key components of our data governance frameworks include data quality, security, stewardship, cataloging, meta data management, and access control.

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Technologies We Use

  • clouds

    • aws-2

      AWS

    • google-cloud

      Google Cloud

    • azure-logo

      Azure

    • snowflake

      Snowflake

    • infa

      Informatica IICS

  • databases

    • postgresql-outline

      PostgreSQL

    • mysql-outline

      MySQL

    • redshift

      Redshift

    • athena

      Athena

    • redshift

      DynamoDB

    • oracle

      Oracle

    • mongoDB

      MongoDB

  • etl tools

    • rundeck

      Rundeck

    • airflow

      Airflow

    • aws-glue

      AWS Glue

    • aws-glue-databrew

      AWS Glue Databrew

    • appflow

      Appflow

    • spark

      Spark

  • streaming services

    • kafka

      Kafka

    • kinesis

      Kinesis Streams

  • Programming languages

    • python

      Python

    • plsql

      PL/SQL

  • Data Modeling Tools

    • dbs-chema

      DBSchema

    • oracle

      Oracle Data Modeler

Outcomes of DashDevs' Big Data services

  • Real-time insights from your data

    Service big data will help you get timely updates on the trends of your customers, competitors and the results of your decisions. Based on them, you can make decisions on how your business should develop further.

  • Scalable data management systems

    Big data as a service companies can help you grow your data infrastructure along with your business needs. You can dynamically adjust storage and processing capabilities to handle any data volumes.

  • Adherence to industry standards

    You can ensure the highest quality of data management with our adherence to industry standards. Our big data services guarantee that your data operations are secure, reliable, and efficient.

  • AI-powered analytics

    With big Data services by DashDevs you can extract meaningful patterns, automate complex analyses, and predict future trends. Advanced AI will uncover hidden patterns and allow you to generate actionable insights.

  • Maximized data ROI

    We are commited to derive maximum value from your data assets, turning insights into actionable outcomes. Key goals of our big data services are cost-effective data management and strategic data monetization.

  • Improved data quality

    Our big data services focus on ensuring that your data meets the highest standards. Key components of our BDaaS include data cleansing, standardization, verification, and quality monitoring.

Our cases

  • MuchBetter mobile payment app interface
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    MuchBetter is a revolutionary award-winning Industry-leading e-wallet & payment app

  • Chip mobile app screen
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    Transforming Saving and Investment with Cutting-Edge CHIP Technology

  • Downing mobile app screen
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    Downing is a Successful Investment Management Platform Focused On Creating Sustainable Future

  • Pi-1 mobile app screen
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    Pi-1 is Award-Winning white label cloud platform

  • NDA mobile app screen
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    Prime Athletic Platform: evaluate. Develop. perform.

Faq

  • What is a big data services?

    Big data services are services aimed at handling, analyzing, and extracting actionable insights from large datasets. Big data services usually include setting up data storage, adjusting data processing, developing data analytics, and creating data management strategies.
  • What is an example of data as a service?

    An example of Data as a Service (DaaS) could be a cloud-based platform offered by a software development company. This platform could provide clients with real-time access to comprehensive datasets tailored to their industry needs.
  • What does big data stand for?

    Big data refers to large-volume data arrays, which can be structured or unstructured. There isn’t a single
     criterion for classifying big data. According to Clifford Lynch, the founder of the term ‘big data’, it is considered to be data that exceeds 150 GB per day.
  • What is the best big data tool?

    Some of the best big data tools are Rundeck, Airflow, AWS Glue, AWS Glue Databrew, Appflow, and Spark.
  • How much does big data implementation cost?

    The cost of big data implementation can range from tens of thousands to millions of dollars. The final price would depend on the scale of data involved, complexity of analytics required, infrastructure needs, and integration with existing systems.
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