Big Data
Analytics
Cloud
Migration
QA
Analytics
Big Data Assessment & Review
Agile Soft Big Data consultants will thoroughly assess your infrastructure for all the big data sources and clearly specify the capabilities that are needed to make your Big Data initiative a grand success. We will help you to discover, validate, and map disparate data sources to their target, so you can quickly capture core information within your Big Data infrastructure that allows you to make faster, more qualified decisions through valuable insights from your data.
Big Data Ingestion & Cleansing
We understand that the variety of ingestion processes available is as diverse as all the potential data sources and may vary as per data formats, schemas, and volumes. We are experts in both batch and streaming ingestion processes. We are well aware that the ingestion stage is the most critical point for ensuring reliability of business service and data quality for any enterprise and that‘s why we offer programs tailored to the task of data ingestion in specific applications or environments of your choice. As far as Data Cleansing is concerned, we ensure that you get cleansed data to get better results in data analytics which eventually gives better customer insights and great business.
ETL Application Development
Traditional ETL applications are available in the market, however, are NOT designed to work well with unstructured and semi-structured data because not only it is too complicated to develop but it is also very expensive to run and takes way too long to execute. We have expertise in a wide variety of Big Data engineering platforms like Hadoop ecosystem including Apache Spark, Pig, Hive and Map-Reduce.
NoSQL Solution Development
With global implementation experience, we cover everything from consulting, solutioning, implementation, and administrative specialization on NoSQL databases. Leverage our skills and experience of delivering NoSQL-focused services to gain invaluable customer and business insights. We work with your team to understand your needs and offer just the right NoSQL technology that suits your business needs and budget.
Real-Time Analytics Solutions
Our Big Data Analytics experts have designed and built big data solutions for leading organizations around the globe. We will help you to transform your disparate data into information and derive meaning out of the information to present you with actionable insights thus improving your strategic, operational, and tactical decision making. Let us help to empower you to take the right action, at the right time, and at the right place by combining and analyzing your big data.
Machine Data Analytics Solutions
With the help of Agile Soft‘s proprietary solution for Machine Data Analytics, our team of experts will help you to filter, aggregate, enrich and correlate machine data thus providing the light context for quick actionable insights. We will ensure that your Machine Data is used to drive key business decisions while the information is still fresh without clogging up your big data infrastructure. Thus, you can proactively mitigate risks, gain insights to optimize actions, and reduce costs of ownership across Business, IT Ops, Management, and more.Cloud
Cloud Architecture & Sizing
Our experts will provide you with a ‘Cloud Architecture Road map’ that includes end-to-end architecture, planning, and governance guidance for transforming your IT environment into an enterprise cloud service. Our Cloud Services and Implementation best practices provide you with crystal clear transparency of cost, performance, availability and business metrics. Be rest assured that you are always in control of everything in your environment: when, where and why. We will do a comprehensive ‘cloud computing capacity’ planning for your IT infrastructure, bringing you immediate value on your investments, ensuring you ongoing ROI, and the opportunity for continuous improvement. We can help you further to choose different cloud plans. For example, reserved instances v/s on-demand instances to reduce overall infrastructure cost.
Data Engineering
We will provide you with up-to-date knowledge and cutting-edge computational tools for big data engineering to master the era of big data with great aplomb. Through years of experience of implementing Big Data solutions for global clients, we understand that to be able to make informed business decisions requires data that is not only readily available but also accurate. Our team of experts can help you to design winning strategies for turning data into meaningful information and meaningful information into invaluable business insights. We have expertise in Open Source ETL technology stack like Apache Hadoop, Apache Spark, Hbase as well as AWS proprietary technology stack like AWS Data Pipeline,Qubole, Redshift to get job done.
Proof of Concept
Want to test a small concept by analyzing data on an as-needed or requested basis? We can get you up and running within a short span of time by setting up the required cloud infrastructure required for conducting the ad-hoc analysis on cloud. Our team of experts having years of experience in deploying ad-hoc analysis on cloud will help you to significantly reduce the cost of your cloud infrastructure with various time-tested processes, tools and technologies.
Data Ingestion
We can help you to start running data analytics at a faster pace thanks to our expertise in the many tools and technologies for ingesting data onto the cloud. Go ahead and build the next innovative product without worrying about building and running a fleet of ingestion servers. Leave all the monitoring, scaling, and security of your data to us.
End to End Management of Cloud Infrastructure
Your cloud strategy is implemented and you are ready to reap the benefits of cloud computing. However, as an organization you have several challenges that you would want to solve: lack skilled IT resources, the arrest the low scalability of IT infrastructure that is hindering the business growth, check IT infrastructure fail overs, and reduce IT budgets. All you need is someone who can do end-to-end management of your cloud infrastructure. At Agile Soft, we do end-to-end management of all of cloud infrastructure so that you can solely focus on business without worrying to manage about IT infrastructure. Our team of expert and certified cloud engineers and administrators will help you to implement the cloud and make your IT infrastructure more flexible, secure, and scalable. Thus, as an organization you can attain better operational agility, improve IT governance and tighter integration of components across the enterprise from applications to platforms all through cloud infrastructure.
Big Data Assessment & Review
Agile Soft Big Data consultants will thoroughly assess your infrastructure for all the big data sources and clearly specify the capabilities that are needed to make your Big Data initiative a grand success. We will help you to discover, validate, and map disparate data sources to their target, so you can quickly capture core information within your Big Data infrastructure that allows you to make faster, more qualified decisions through valuable insights from your data.Migration
Migrating In-House Workloads to Cloud
Realizing that the current IT infrastructure is not efficient and scalable for the new age of digitization, organizations are adopting private or public clouds. Cloud computing turbo charges the speed of business by bringing scalability, flexibility, high-availability, and security at cost-effective rates. However, migrating the current workloads to the cloud is a challenge when you’d have to consider security of your sensitive data, managing different cloud vendors, and skilled IT personnel who can do the job for you. At Agile Soft, we more than just migrate your data from yesterday’s silo to today’s. We will migrate all your current workloads to the cloud in reliable and secure way without any worries around privacy, latency, and veracity.
Migrating Legacy RDBMS Data Warehouse to Big Data Hub
The impact of big data is such that it’s making the traditional RDBMS data centers, facing scalability issues, obsolete. Big data has also brought with it an increase in license costs for ETL tools, database licenses, and the need to purchase additional hardware. In this competitive market, it becomes imperative for organizations to migrate their legacy RDBMS date centers to a Big Data hub. At Agile Soft, we will help you to migrate your legacy RDBMS data center to a Big data hub. We will take utmost care that your business continuity is maintained and data is available at all times when we help you to move all your applications and dependent objects.
Migrating Existing Partial Workload to Big Data Hub
As an organization you realize that NOT all data is ready to be migrated to the Big Data hub: You are well aware that some data sets if maintained on the legacy RDBMS, performs better in terms of data accessibility and latency, and some data sets which could do well if they are migrated. At Agile Soft, our experts will help you to chart the course of your existing partial workload to the Big Data hub. We will carefully go through your IT infrastructure and gauge the applications and dependent objects that must be migrated onto the Big Data hub for better performance.
Migrating ETL Infrastructure
Data centers need to have data in a format that can be readily ingested and analyzed promoting the use of ETL. In Hadoop, this means extracting data from external sources and transforming them into a format that can be stored in HDFS and used by MapReduce (MR) applications. However, MR is typically applied to large batch-oriented computations have its own limitations which may slow down the entire process. At Agile Soft, we provide reliable and effective solutions to migrate your ETL infrastructure to a newer, faster, and better processing framework such as Spark. Our experts will help you to chose the right platform such as Spark that will not only increase your ROI on existing data centers without adding more resources but also speed up the ETL process significantly.
Data Discovery and Scoping
Most companies flounder at the very first step of the data migration process: discovery and scoping. It is perhaps the most important step of setting up the data migration process because identifying all sources and discovering all objects within existing IT infrastructure of an organization. Only after the discovery of data sources is complete, the scope of migration work begins. At Agile Soft, our experts carefully go through multiple data sources within your IT Infrastructure to identify the sources that need to be discovered and scoped for a better migration workflow. With global experience of implementing projects for Fortune 100 companies, we ensure that your first step of data migration is the most smoothest and safest.QA
Source Data Validation
The first step of Big Data is to validate and authenticate data from various sources like traditional RDBMS, weblogs, social media to ensure accurate data is pulled into system. In addition, comparing the source data with the data pushed into the Hadoop system is imperative too. At Agile Soft, our data analyser accurately reads rules for data mapping manager, carefully analyzes every record from all the data sources and automatically generates a detailed validation report. The Data Analyser is designed to run in a fully distributed and dynamic fashion, hence it is able to take full advantage of the Big Data hub for testing.
Test Data Management
As pulling data from live data is anything but safe, there is a growing need of high-quality reliable, realistic test data by IT companies before launching new or enhanced applications into production. This strategy requires additional time to run the test due to enormous file sizes and uses expensive CPU power. At Agile Soft, our test data management suite delivers faster data with tools for data preparation, transformations and joins. In addition, it also provides ways to generate data and version of data so that testing can be done with backward and forward compatibility. Our experts will help you to produce high quality test data more easily, effectively and economically.
Data Hub Non-Functional Testing
While it is known that Functional Testing is performed to identify functional coding issues and requirements issues, Non-Functional testing identifies performance bottlenecks and validates the non-functional requirements which are equally important. At Agile Soft we understand that the non-functional testing, specifically performance and fail over testing, plays a key role in ensuring the scalability of the process. Our strength-tested QA framework ensures that you always get the desired results in performance and fail over testing.
Data Migration Testing
Big Data continues to bring new information and technology which in turn spikes an increase in the frequency and complexity of big data migrations projects. Besides the shape of the data, a number of challenges must be considered while migrating big data such as data management is not designed considering Big Data Architecture, the HDFS-based data is difficult to extract, and unskilled staff making it near-impossible to achieve faster time-to-market for Big Data Migration projects. At Agile Soft, our experts will design an end-to-end data migration test strategy for you including pre-migration, formal design review, and post-migration testing. In addition to analyzing your business and compliance risks while migrating specific applications, we will also create, review, and manage a complete migration specification making our process very effective and robust.
ETL and Reporting Performance Testing
The ETL process begins as soon as Map Reduce process is complete and formatted data is moved, mostly depending on the requirement of the company, to an enterprise data warehouse. However, companies cannot afford to take risks with this data without testing it, and that’s how ETL and Reporting Performance Testing comes into picture. At Agile Soft, we validate a number of things such as transformation rules to data load in the target system and from aggregation of data to data integrity in the target. As far as Reporting performance is concerned, we also validate if reports definition is set as per the requirement, report data issues, and other issues like layout and format.
Data Analytics & Visualization Testing
Globally, organizations are vying to be able to make meaning from all the enormous amounts of information sitting in the enterprise data warehouse through data analytics and visualization. However, a bigger challenge is to conduct data analytics and visualization testing with significant reduction in cost, time, and complexity with agile technology giving maximum flexibility. At Agile Soft, we are committed to reduce the apparent risks, help you to intelligent decisions, and create a differentiated personal customer experiences. We will ensure that our technical expertise eases your journey of digital transformation from being practicing traditional approaches to adopting new age digital unconventional, agile methods.