APACHE SPARK DEVELOPMENT SERVICES
At Geomotiv, we possess the expertise to deliver efficient Big Data solutions
with the help of Apache Spark.
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DESCRIPTION
Conception of Spark
Excellent performance in working with data
Apache Spark is an open-source framework primarily designed for Big Data development. Its main features are data parallelism and fault tolerance which can improve processing speed and ensure that no data is lost.
Compatibility
Spark is compatible with different third-party solutions and tools which allows for seamless integration. Moreover, it can also easily get access to data in HBase, Cassandra, S3, HDFS, and other databases.
Versatility
This framework is suitable for performing a wide range of tasks because various tools and libraries are available.
High-speed app creation
Apache Spark supports Scala, Java, and Python, providing dynamism in app creation.
Simplicity of use
Apache Spark is an easy-to-use framework with more than 80 high-level operators to facilitate parallel app development and offers user-friendly APIs to operate on large datasets.
Popularity
Today more than 13,000 companies, including IBM, Amazon, Cisco, Pinterest, and others, use Apache Spark-based solutions.
Scalability
Apache Spark can successfully scale from just one server to hundreds and thousands of nodes in a distributed cluster. As a result, it can work with large volumes of data and deal with complex analytics tasks.
Fault tolerance
The framework can automatically manage the distribution and replication of data across the distributed cluster. If a node fails, Apache Spark will recover the lost data, and data processing will continue without interruptions.
Sergey Lobko-Lobanovsky
Founder and CEO
Apache Spark is one of the most powerful data processing frameworks that can be used for building advanced solutions intended for managing large-scale data. All Big Data solutions created by our team stand out from the row for their high efficiency and security. That’s why we are always at your disposal if you have an Apache Spark development project and need professional help.
OUR SERVICES
What Can We Offer
Apache Spark consulting Our Apache Spark development company in USA can support you in choosing the best strategy to work with Big Data at your organization. Our consulting covers such areas as cluster optimization, ETL pipelines, ML app creation, and more.
Apache Spark implementation When you need to implement Big Data into your business processes, our team will be ready to help you. Deployment and upgrade automation, introduction of security tools, and complete recovery process are among our services.
Apache Spark performance enhancement If you are not satisfied with the performance of your Apache Spark solution, you can turn to us. Our specialists will analyze the current state of your software and offer ways to address issues such as data processing, memory leaks, task execution, etc.
How can you use Apache Spark at your organization?
Schedule a consultation with our team to discuss how we can boost
your business growth with innovative Big Data tools.
USE CASES
What Can You Do with Apache Spark?
Recommendation engine development
Recommendation engines are core functionality in many solutions. Our Apache Spark experts have a deep understanding of the peculiarity…
Recommendation engine development
Recommendation engines are core functionality in many solutions. Our Apache Spark experts have a deep understanding of the peculiarity
of such tools and can build a modern recommendation engine based on your requirements.
ML-powered app development
Apache Spark is an excellent choice for building apps powered by Big Data and Machine Learning tools. Our developers…
ML-powered app development
Apache Spark is an excellent choice for building apps powered by Big Data and Machine Learning tools. Our developers will find the most feasible approach to creating a solution fully tailored to your organization’s needs.
ETL, Text mining & data analytics
Our Apache Spark development team has robust expertise in working with Big Data.
Thanks to data analytics and text mining…
ETL, Text mining & data analytics
Our Apache Spark development team has robust expertise in working with Big Data.
Thanks to data analytics and text mining solutions provided by our experts, you will get valuable insights for better-informed business decisions.
Natural Language Processing (NLP)
It is possible to rely on Apache Spark to fulfill various tasks related to working with texts written in human languages. For example, …
Natural Language Processing (NLP)
It is possible to rely on Apache Spark to fulfill various tasks related to working with texts written in human languages. For example,
it can be used for sentiment analysis, text classification, and topic modeling, among
other tasks.
Image processing
This framework can become an excellent choice for solutions that should be enriched with image processing features, such as object detection…
Image processing
This framework can become an excellent choice for solutions that should be enriched with image processing features, such as object detection or image classification. It can work with standalone images as well as large image datasets.
Graph processing
Apache Spark’s GraphX API provides developers with the possibility to introduce tools for graph-structured data processing. This framework is…
Graph processing
Apache Spark’s GraphX API provides developers with the possibility to introduce tools for graph-structured data processing. This framework is often used to build solutions that need to work with graphs, including apps for social network analysis or network security monitoring.
Big Data processing
Spark is known for its outstanding capabilities
in processing large volumes of data. It uses in-memory caching and optimized query…
Big Data processing
Spark is known for its outstanding capabilities
in processing large volumes of data. It uses in-memory caching and optimized query execution. Thanks to this, it can run fast analytic queries against data, regardless of its type and size.
Real-Time stream processing
Spark Streaming, an extension of the core Apache Spark API, allows for the processing of streaming data in real time. This means…
Real-Time stream processing
Spark Streaming, an extension of the core Apache Spark API, allows for the processing of streaming data in real time. This means that this framework is good for working with social media feeds, transaction logs, and data collected and transferred by IoT devices.
Log analysis and monitoring
Apache Spark efficiently defines patterns in log data received from servers and applications, detects trends, and quickly finds anomalies. …
Log analysis and monitoring
Apache Spark efficiently defines patterns in log data received from servers and applications, detects trends, and quickly finds anomalies.
This can greatly facilitate tasks such as performance monitoring, security analytics,
and troubleshooting.
OUR SPARK STACK
Tech We Apply
Apache Spark has a technological ecosystem that provides efficient tools for proper
performance. At Geomotiv, we apply those and other appropriate tools to achieve
maximum efficiency
performance. At Geomotiv, we apply those and other appropriate tools to achieve
maximum efficiency
APACHE SPARK ECOSYSTEM
Spark core, Spark SQL,
Spark Streaming,
Spark MLlib, Spark
GraphX, SparkR
Spark Streaming,
Spark MLlib, Spark
GraphX, SparkR
LANGUAGES
Scala, Java, Python
STORAGE SYSTEMS
Azure Storage, Amazon S3,
HDFS, Apache Cassandra,
Kudu, OpenStack Swift
HDFS, Apache Cassandra,
Kudu, OpenStack Swift
FRAMEWORKS
Apache Hadoop
CLUSTER
MANAGERS
Hadoop YARN, Apache
Mesos, Kubernetes
Mesos, Kubernetes
OUR BENEFITS
Why Should You Choose Geomotiv?
i
- Market experience since 2010.
- >200 highly professional engineering team.
- Flexible engagement models.
- Robust Big Data and ML expertise.
- Deep understanding of various business domains.
- ISO 9001:2015, ISO 27001, and ISO 45001 certification.
Want to know more about us?
Our company is always open to cooperation, and we will be happy to tell you more about our services.
FAQ
Need Help? We’ve Got You Covered!
In what industries can Apache Spark be used?
There are no restrictions on the spheres where Apache Spark can be applied. Thanks to its capabilities in processing large-scale data, it is traditionally used in many industries. For example, Apache Spark-powered solutions are built for retail, eCommerce, banking, finance, healthcare, telecommunications, media, entertainment, logistics, manufacturing, and other industries.
Do we need to reject other Big Data technologies if we want to start using Apache Spark?
What types of analytics can be performed with Apache Spark?
CASE STUDIES
Our Work Speaks for Itself
SSP and DSP Advertising Technology
A system to optimize the entire ad serving system that allowed for collecting, processing, and reporting on, billions of transactions every month.
Automated Mail Marketing Platform
The Mail Marketing Platform was an automatic system created for niche digital-to-direct sphere operations.
Improvement of a 3D Modeling System for a Tech Company
Full-stack 3D mapping system redesign for the LiDAR equipment provider.
Healthcare CRM for Medical Center
A custom Healthcare CRM system for doctors and administrative staff to securely access, edit, and manage information.
Smart Medical Assistant App
A comprehensive medical chatbot that could provide medical consulting, improve outcomes, and reduce operational costs and personnel expenditures.
Video Streaming Platform
The OTT Advertising Service was a set of solutions designed to give the client full control over their ad related activities.
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