Big Data is the ever-growing amount of structured and unstructured data sets that organizations capture and analyze in order to gain insight, make decisions, and achieve their long-term strategic objectives. A Big Data Developer is arguably one of the most important roles in an organization's data team. These developers have the necessary skills and knowledge to draw insights from large or complex datasets, scale and optimize large datasets manipulations, to automate some of a client's processes, build algorithms for data processing tasks, maintain large databases, work with distributed computing tools for big data initiatives, synch with cloud services and on-site infrastructures and many more. In summation, a Big Data Developer can be critical to helping the organization use the collected data in a meaningful way.

Here’s some projects that our expert Big Data Developer made real:

  • Utilized complex algorithms such as KMeans/BisectionKMeans to find anomalies in large datasets.
  • Built custom infrastructure solutions that employ massive databases leveraging distributed computing.
  • Developed pipelines and dashboards to better visualize data using Tableau/Hadoop/Pyspark/SQL.
  • Implemented solutions for continuous logging tasks with Python, managing streaming data inputs into the thousands per second.
  • Structured AI techniques with deep learning to detect objects (road edges) from aerial images.
  • Optimization measures to reduce storage space requirements, like replacing JSON/CSV formats with Parquet format.
  • Applied predictive analytics to forecast outcomes such as credit card defaults and design strategies for database/data warehouse capabilities.

What all these projects have in common is the utilization of Big Data technologies and approaches to develop solutions towards our client's goals. By harnessing the power of Big Data technologies and deploying best practices in data science processes, we help our clients identify opportunities and unlock latent insights in many different ways; this translates into innovative solutions and opportunities that were otherwise unavailable before!

We invite you to take your organization to the next level by hiring one of our elite Big Data Developers on Freelancer.com! Together we can explore fresh possibilities and get you bigger returns on your investments as you enter into a new digital era of analytics.

Müşterilerimiz, Big Data Developers freelancerlarımızı 8,414 değerlendirme içinden 5 üzerinden 4.74 ile derecelendirdi.
Big Data Developers İşe Alın

Big Data is the ever-growing amount of structured and unstructured data sets that organizations capture and analyze in order to gain insight, make decisions, and achieve their long-term strategic objectives. A Big Data Developer is arguably one of the most important roles in an organization's data team. These developers have the necessary skills and knowledge to draw insights from large or complex datasets, scale and optimize large datasets manipulations, to automate some of a client's processes, build algorithms for data processing tasks, maintain large databases, work with distributed computing tools for big data initiatives, synch with cloud services and on-site infrastructures and many more. In summation, a Big Data Developer can be critical to helping the organization use the collected data in a meaningful way.

Here’s some projects that our expert Big Data Developer made real:

  • Utilized complex algorithms such as KMeans/BisectionKMeans to find anomalies in large datasets.
  • Built custom infrastructure solutions that employ massive databases leveraging distributed computing.
  • Developed pipelines and dashboards to better visualize data using Tableau/Hadoop/Pyspark/SQL.
  • Implemented solutions for continuous logging tasks with Python, managing streaming data inputs into the thousands per second.
  • Structured AI techniques with deep learning to detect objects (road edges) from aerial images.
  • Optimization measures to reduce storage space requirements, like replacing JSON/CSV formats with Parquet format.
  • Applied predictive analytics to forecast outcomes such as credit card defaults and design strategies for database/data warehouse capabilities.

What all these projects have in common is the utilization of Big Data technologies and approaches to develop solutions towards our client's goals. By harnessing the power of Big Data technologies and deploying best practices in data science processes, we help our clients identify opportunities and unlock latent insights in many different ways; this translates into innovative solutions and opportunities that were otherwise unavailable before!

We invite you to take your organization to the next level by hiring one of our elite Big Data Developers on Freelancer.com! Together we can explore fresh possibilities and get you bigger returns on your investments as you enter into a new digital era of analytics.

Müşterilerimiz, Big Data Developers freelancerlarımızı 8,414 değerlendirme içinden 5 üzerinden 4.74 ile derecelendirdi.
Big Data Developers İşe Alın

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    I need help deploying Splunk Enterprise in a cloud environment. The primary goal is likely data aggregation and analysis, but I’m open to expert input. Ideal Skills and Experience: - Proven experience with Splunk Enterprise deployments, especially in cloud environments. - Strong background in data aggregation, analysis, and creating custom dashboards. - Familiarity with real-time monitoring and alerting within Splunk. - Ability to provide a detailed project proposal outlining the deployment strategy. Please include your relevant experience in your application.

    €136 Average bid
    €136 Ortalama Teklif
    20 teklifler

    Responsible for designing and implementing large-scale data migration and ingestion pipelines to move high-volume data from diverse sources into cloud platforms. Sources include HDFS, relational databases such as MySQL and PostgreSQL, and real-time streaming systems like Kafka. Develop and maintain robust data pipelines using PySpark, ensuring efficient processing of batch and streaming data. Implement automated scheduling mechanisms to orchestrate data workflows on daily and monthly intervals, ensuring reliability and timely data availability. Optimize data ingestion and storage through advanced performance tuning, partitioning, and compaction strategies to handle large-scale datasets efficiently. Ensure data quality, consistency, and fault tolerance across all pipelines. Deploy and ma...

    €9 Average bid
    €9 Ortalama Teklif
    1 teklifler

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