Big Data Development Services - EffectiveSoft

Big Data Development Services

As the volume of an organization’s data increases, so do the associated challenges, prompting companies to seek reliable and comprehensive big data development services. EffectiveSoft’s big data developers deliver best-in-class, cross-industry solutions, enabling businesses to efficiently handle petabytes of data, extract meaningful insights, and improve decision-making.

Big data services

Big data services we offer

  • As a trusted IT advisor, EffectiveSoft helps determine how to effectively employ big data to resolve complex challenges and address specific client needs. We define key goals, build a suitable tech stack, and provide valuable recommendations and clear roadmaps on how to transform raw data into lasting value. Our experts work closely with organizations to develop efficient data governance strategies, comply with privacy and security regulations, and implement quality initiatives that ensure greater data accuracy and integrity.

  • A scalable and fault-tolerant infrastructure is critical at every stage of the big data life cycle to support robust data management processes and drive operational efficiency, flexibility, and cost savings. Based on our clients’ requirements, we design on-premises, cloud-native, and hybrid big data infrastructures. These infrastructures feature components, such as data collection, storage, real-time processing, analytical tools, security, governance, and more.

    Big data infrastructure and management
  • Utilizing extract, transform, load (ETL) and extract, load, transform (ELT) tools, our data engineers help businesses extract raw data from different sources, process it, and consolidate it in a single source of truth, such as a data warehouse or data lake. The unified data exhibits consistency, accuracy, and quality characteristics, making it suitable for additional operational and analytical purposes.

    Big data integration
  • EffectiveSoft offers full-cycle big data application development services, including a feasibility study, solution architecture design, development, implementation, quality assurance (QA), and post-launch maintenance and support. Combining their solid business acumen with technical expertise in technologies and tools, including Hadoop, Spark, NoSQL, Java, Scala, and more, our big data developers build high-end big data systems. These systems can efficiently manage ever-growing volumes of data while optimizing data management, governance, and security.

    Big data software development
  • We provide a comprehensive suite of data analytics services, encompassing data science as a service (DSaaS), real-time analytics and exploration, business intelligence (BI) analysis, data mining as a service (DMaaS), image, text, and sentiment analysis, and more. Our data analysts capitalize on artificial intelligence (AI) and machine learning (ML) to uncover underlying data structures and patterns, using the acquired information to derive valuable insights and enhance informed decision-making.

    Big data analytics
  • To effectively communicate the extracted insights to business owners and stakeholders, crafting vivid visual narratives is key. We use time-tested data visualization tools, such as Power BI, Tableau, Looker Studio, and more, to create bespoke dashboards, interactive reports, charts, and infographics. Big data visualization facilitates the comprehension and analysis of the presented data, thereby expediting the decision-making process.

    big data visualization
  • The volume and complexity of new data are growing at lightning speed, prompting companies to upgrade their existing infrastructures to scalable and accessible solutions. Our professionals help businesses migrate their current on-premises big data infrastructures to the cloud, resulting in improved performance, enhanced security, and reduced infrastructure-related expenditures.

    cloud migration
Big data infrastructure and management
Big data integration
Big data software development
Big data analytics
big data visualization
cloud migration

Benefits of using big data

Big data use cases across industries

Our big data competencies

What about you?

We are excited to explore your requirements and tailor our big data services enable your business to efficiently handle large volumes of data.

    Enter the project details and its goals, deadlines, tech stack and required team
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    Our big data development process

    1. Business challenge review

      We begin by discussing our clients’ ultimate objectives and expectations and scrutinizing their business environments, domain specifics, and potential data sources. We also review the ongoing short-term and long-term challenges that our clients continually face, brainstorming solutions to overcome all obstacles.

    2. Data collection and preparation

      Our next step in the big data development process involves collecting data from multiple sources. Once the required amounts of data have been aggregated, we employ data preparation techniques to process and transform the collected datasets into a suitable form for further data analytics. Among the data preparation techniques we leverage are data cleaning, outlier filtering, dimensionality reduction, data integration, and more.

    3. Data analytics

      The data processing phase is followed by the analytics process, where our data analysts thoroughly study individual data components, detecting useful patterns, trends, correlations, and anomalies. The result of this data analytics is the extraction of vital information that businesses can use to gain insights into customer behavior, pinpoint areas for improvement, and streamline their operational workflows.

    4. Business integration

      In the final stage, we collaborate closely with our clients to integrate the obtained insights into their decision-making processes. We ensure that these insights effectively address even the most urgent business requirements and strategize future decisions, assisting companies in achieving the desired outcomes and profits.

    Why choose EffectiveSoft?

    Our clients say

    Our big data tech stack

    • Amazon S3
    • Azure Data Lake
    • Apache Hadoop
    • GCP Cloud Storage
    • Cassandra
    • Azure Cosmos DB
    • Azure Synapse Analytics
    • Amazon Redshift
    • Amazon DynamoDB
    • Apache Hive
    • Apache HBase
    • Apache NiFi
    • Apache Airflow
    • Apache NiFi
    • Talend
    • Informatica
    • Zaloni
    • Apache ZooKeeper
    • Azkaban
    • Dremio
    • Apache Kafka
    • Apache Storm
    • Apache Spark
    • Apache Flink
    • Apache Druid
    • Apache Hadoop MapReduce
    • Apache Giraph
    • Matlab
    • Amazon Machine Learning
    • Apache Spark MLib
    • TensorFlow
    • Octave
    • R
    • Amazon SageMaker
    • Azure Machine Learning
    • Google Cloud AI Platform
    • Open CV
    • SpaCy
    • Keras
    • Apache Mahout
    • Gensim

    F.A.Q. about big data services

    • Big data refers to vast, diverse, and complex amounts of information gathered from various sources and growing at unprecedented rates. Leveraging big data, businesses can gain insights into behavior, trends, and operational efficiency, thereby supporting enhanced decision-making and improving business processes.

    • Efficiently handling extremely large datasets is certainly challenging, but it is possible. To manage all volumes of data with ease, companies must define what kind of information they seek, meticulously organize the collected data, and create clear and informative data visualizations. Additionally, storing data in the cloud gives companies more flexibility and accessibility for successful big data management.

    • Through close collaboration, data analysts and data scientists run predictive analytics to identify useful patterns in big data. These insights are then leveraged by businesses to drive numerous BI processes and predict future outcomes.

    • With ISO/IEC 27001:2013 certification, we ensure data security and confidentiality in our processes. When working with our clients’ data, we restrict data access, employ data encryption, implement confidentiality and data retention policies, and sign NDAs with all individuals who have access to the data.

    • Contact us through our contact/service page or leave a request, and we will immediately reach out to discuss your project.


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      What happens next?

      • An expert contacts you shortly after having analyzed your business requirements.
      • If required, we sign an NDA to ensure the highest privacy level.
      • A Pre-Sales Manager submits a comprehensive project proposal. It may include estimates, timelines, lists of CVs, etc., for a particular situation.
      • Now, we can launch the project.

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