HADOOP DEVELOPMENT COMPANY
Expand your Hadoop development with nearshore talent.
Our Hadoop development services power scalable, data-driven solutions for managing and analyzing big data. We quickly assemble skilled teams, allowing you to deliver high-performance data platforms with speed and efficiency.
+200 companies rely on
our 1% Top Talent
Hadoop Development Services we provide
We offer versatile Hadoop development services, from big data processing to advanced analytics. Explore our key offerings below:
Big Data Solutions with Hadoop
We leverage the power of Hadoop to manage and process massive datasets, helping businesses turn raw data into actionable insights. Our developers use Hadoop’s distributed storage and processing capabilities to handle complex data workflows efficiently.
Hadoop Data Integration
Our team integrates Hadoop with your existing data sources, including databases, APIs, and third-party applications. This ensures seamless data flow and enables real-time analysis, providing you with a 360-degree view of your data.
Hadoop Cluster Setup and Management
We set up and manage Hadoop clusters, ensuring high availability and scalability. Our expertise in Hadoop architecture ensures optimal performance for both on-premise and cloud environments, allowing you to process large datasets with ease.
Hadoop with Spark for Real-Time Data Processing
We combine Hadoop with Apache Spark to enable real-time data processing and analytics. This powerful duo allows you to analyze data faster, enabling immediate decision-making and reducing latency in your data pipeline.
Hadoop Data Security and Governance
We implement robust data governance and security measures to protect sensitive data in Hadoop environments. From data encryption and role-based access control to audit trails, our solutions ensure compliance with industry standards.
Hadoop Maintenance and Support
Our ongoing maintenance and support services keep your Hadoop ecosystem optimized and secure. We handle updates, performance tuning, and troubleshooting, ensuring your big data platform remains reliable and scalable.
Why choose Xpertsoft for Hadoop Development
Nearshore Expertise
Our software developers are primarily based in Portugal, ensuring smooth collaboration with EU-based clients. With real-time communication and bilingual professionals, we provide seamless support and development services.
Broad Technical Expertise
Beyond Hadoop, our team has expertise in related big data technologies, including Spark, Hive, HBase, and cloud data platforms. We offer comprehensive solutions to help you build secure, scalable, and high-performance data infrastructure.
Tailored Development Solutions
We provide flexible software development services that align with your business goals. Whether you need a single Hadoop expert or an entire data engineering team, we adapt to your needs and scale our involvement to fit your project requirements.
The Hadoop Ecosystem We Used in Previous Work
Data Processing and Storage
Leverage Hadoop’s distributed storage and processing capabilities for big data projects:
- Hadoop Distributed File System (HDFS)
- Apache YARN
- Apache Spark
- MapReduce
- Apache Hive
Data Integration and Workflow Management
Integrate and manage complex data workflows with these tools:
- Apache Nifi
- Apache Kafka (real-time streaming)
- Apache Flume (data ingestion)
- Apache Sqoop (for relational database integration)
- Oozie (workflow scheduling)
Analytics and Query Tools
Analyze data at scale using these Hadoop-related tools:
- Apache Hive (SQL-based data warehouse)
- Apache Pig (data transformation)
- HBase (NoSQL database)
- Impala (real-time queries)
Security and Governance
Implement robust security and governance for Hadoop environments
- Apache Ranger (data security)
- Apache Knox (authentication gateway)
- Kerberos (authentication protocol)
- Data encryption (in transit and at rest)
Cloud Platforms
Deploy and manage Hadoop clusters on these cloud platforms:
- Amazon EMR (Elastic MapReduce)
- Google Cloud Dataproc
- Microsoft Azure HDInsight
- Cloudera Data Platform
Key Facts to Know About Hadoop Development
- Benefits of using Hadoop
-
1. Scalable Distributed Computing
Hadoop’s distributed architecture allows businesses to store and process massive amounts of data across multiple machines, enabling horizontal scalability. This makes Hadoop ideal for handling big data workloads that require high performance and fault tolerance.
2. Cost-Effective Data Storage and Processing
By using commodity hardware, Hadoop provides a cost-effective solution for storing and processing large datasets. Its open-source nature means that businesses can build powerful data infrastructures without expensive software licensing fees.
3. Real-Time and Batch Processing
Hadoop supports both real-time and batch data processing, making it a versatile tool for a wide range of data workloads. Combining Hadoop with tools like Apache Spark enables real-time analytics, while MapReduce handles large-scale batch processing.
- Hadoop is primarily used for
-
Hadoop is primarily used for big data storage, processing, and analytics. It’s commonly adopted by businesses dealing with large-scale datasets, such as e-commerce, finance, healthcare, and logistics companies, to manage and analyze complex data at scale.
- Reasons for Hadoop Popularity
-
- Supports a Wide Range of Data Types:Â Hadoop can process structured, semi-structured, and unstructured data, making it ideal for industries handling diverse data sources like logs, social media data, and sensor data.
- Highly Fault-Tolerant Architecture: Hadoop’s distributed nature ensures data is replicated across nodes, providing fault tolerance and high availability in the event of hardware failures.
- Scalable Across On-Premise and Cloud Environments:Â Hadoop can be deployed on both on-premise clusters and cloud environments, allowing businesses to scale their data infrastructure based on needs and resources.
- Rich Ecosystem for Big Data Workflows:Â Hadoop integrates with a wide range of tools, including Apache Hive, Pig, HBase, and Kafka, allowing for seamless data ingestion, processing, storage, and analysis.
- Real-Time Analytics with Apache Spark:Â When paired with Apache Spark, Hadoop enables real-time processing, making it suitable for applications that require fast data analysis, such as fraud detection and real-time customer insights.
- Security and Governance Features:Â Hadoop offers strong security features, including Kerberos authentication, encryption, and data governance tools like Apache Ranger, making it a reliable choice for managing sensitive data.
- Useful Links
-
1. Scalable Distributed Computing
Hadoop’s distributed architecture allows businesses to store and process massive amounts of data across multiple machines, enabling horizontal scalability. This makes Hadoop ideal for handling big data workloads that require high performance and fault tolerance.
2. Cost-Effective Data Storage and Processing
By using commodity hardware, Hadoop provides a cost-effective solution for storing and processing large datasets. Its open-source nature means that businesses can build powerful data infrastructures without expensive software licensing fees.
3. Real-Time and Batch Processing
Hadoop supports both real-time and batch data processing, making it a versatile tool for a wide range of data workloads. Combining Hadoop with tools like Apache Spark enables real-time analytics, while MapReduce handles large-scale batch processing.
Hadoop is primarily used for big data storage, processing, and analytics. It’s commonly adopted by businesses dealing with large-scale datasets, such as e-commerce, finance, healthcare, and logistics companies, to manage and analyze complex data at scale.
- Supports a Wide Range of Data Types:Â Hadoop can process structured, semi-structured, and unstructured data, making it ideal for industries handling diverse data sources like logs, social media data, and sensor data.
- Highly Fault-Tolerant Architecture: Hadoop’s distributed nature ensures data is replicated across nodes, providing fault tolerance and high availability in the event of hardware failures.
- Scalable Across On-Premise and Cloud Environments:Â Hadoop can be deployed on both on-premise clusters and cloud environments, allowing businesses to scale their data infrastructure based on needs and resources.
- Rich Ecosystem for Big Data Workflows:Â Hadoop integrates with a wide range of tools, including Apache Hive, Pig, HBase, and Kafka, allowing for seamless data ingestion, processing, storage, and analysis.
- Real-Time Analytics with Apache Spark:Â When paired with Apache Spark, Hadoop enables real-time processing, making it suitable for applications that require fast data analysis, such as fraud detection and real-time customer insights.
- Security and Governance Features:Â Hadoop offers strong security features, including Kerberos authentication, encryption, and data governance tools like Apache Ranger, making it a reliable choice for managing sensitive data.
Add top 1% devs to
your in-house teams
Tap into the expertise of our top 1% Â developers. Staff augmentation lets you boost your in-house teams with specialized experts. Expedite timelines without sacrificing output quality.
Here’s how we augment your team
STEP 1
Discovery Call
Share your requirements, budget, and necessary skill sets. We will draft a working timeline and select top developers for your team.
STEP 2
Assembling Your Team
Withindays, we’ll find suitable developers that fit your requirements. We ensure they have the right technical expertise and would be a great cultural fit for your team.
STEP 3
Onboarding and Scaling
After onboarding them, our developers will integrate with your team. Scale your engagement as needed – we’re happy to accommodate your demands.
Get an
entire Team
Looking to bring on more than just a few .NET developers? We’ll assemble a complete crew to support you. Whether it’s full-cycle front and back-end web development, QA, DevOps, UX/UI, or something else. Monitor the team’s performance and manage them as you see fit.
Here’s how you can get a dedicated team
STEP 1
Discovery Call
We’ll learn about your business, organization structure, objectives, budget, timelines, and resource requirements. Then, we can start identifying the ideal talent for you.
STEP 2
Team Assembly and Integration
Once we assemble your dedicated team, we’ll ensure a smooth transition as they integrate with your organization.
STEP 3
Project Kickoff
After onboarding, your team is at your disposal. You’ve now acquired the resources you need without the hassle and high cost that usually comes with recruitment