Databricks consulting – Databricks consulting Services

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Databricks consulting

Helical IT Solutions stands out as a premier provider of Databricks consulting services, offering unparalleled expertise to businesses seeking optimal data solutions. With a dedicated team of seasoned professionals, they specialize in guiding clients through the intricacies of Databricks implementation, optimization, and ongoing support. From data engineering to machine learning, Helical IT Solutions ensures that organizations harness the full potential of Databricks, delivering tailored solutions that elevate data analytics capabilities and drive strategic decision-making.

Choose Helical IT Solutions for transformative Databricks consulting services that pave the way for sustainable growth and innovation.

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Databricks consulting Services

What is Databricks Lakehouse?

Databricks company was behind creation of tools like Apache Spark, MLFlow and Delta Lake. Databricks platform is built on top of Apache Spark. Databricks is a cloud-based platform that unifies data, analytics, and AI. It allows you to build, deploy, and manage data engineering, data science, machine learning, and business analytics applications.Databricks also integrates with various cloud services and technologies, such as AWS, Azure, GCP etc.

Usage of Databricks can help you in adoption and migration to Modern Data Stack.

Databricks consulting Services

Databricks Consulting Services

Databricks Consulting & Implementation

Though Databricks being a very powerful platform, it can be quite complex and challenging to implement for users. That’s where our professional implementation services can be useful.

We can help you with

  • Evaluating your current data and analytics landscape and recommending the best Databricks solutions for your needs. We can also design a data strategy and roadmap that aligns with their business goals and objectives.
  • Migrating and modernizing your existing data and analytics platforms to Databricks. We can help them move their data from various sources, such as Hadoop, Oracle, Informatica, and more, to Databricks. We can help transform and optimize data pipelines, using Databricks’ built-in or custom connectors, Delta Lake, and SQL Analytics.
  • Create and test data pipelines, data models, data visualizations, and machine learning models, using Databricks’ notebooks, libraries, and frameworks. We can help integrate Databricks applications with other cloud and on-premise technologies, such as AWS, Azure, GCP, Snowflake, and more.

Databricks Lakehouse Creation & Migration

Databricks lakehouse is a part of 3rd Gen modern data stack. Lakehouse concept is quicker, effective, faster to implement and there are multiple other benefits associated with it. With a data lakehouse, it is possible to store and analyze raw data in its native format while utilizing structured querying and ACID transactional capabilities as well. Plus, with Databricks technologies like Delta, Delta Live Tables, Photon, and Autoloader, it is possible to scale data ingestion, storage, and processing, all while reducing costs and complexity.

Build an enterprise data lakehouse for your business and drive smarter data-driven decisions. If you are looking to migrate from your legacy technology stack and make use of this latest technology, we can help you preparing the data migration plan. We have got many projects implementation experience of implementing Data Lakehouse. Our past experience with 1st gen data stack (Data Warehouse) and 2nd Gen data stack also helps in having a smooth migration to a data lakehouse platform.

Organisations across Industries are migrating their legacy Hadoop based analytics solutions to Databricks, to benefit from the integrated analytics system with a unified user experience that can be leveraged by data engineers, data analysts, data scientists, and ML practitioners alike

Data Engineering Services

We can help with ingest, transform, and process batch and streaming data. We have got experience across various data engg. Tools, hence using preferred data engineering tools, we can help orchestrate ETL workloads and help in building your data datalakehouse. Reach out to us now to learn more.

Ongoing Support and Maintenance

At Helical, with our many trained Databricks resources, we can help you with your ongoing support and maintenance activities for your built Data Lakehouse solutions. We can help to continuously monitor and troubleshoot any issues that may arise, and provide regular updates and upgrades to keep the Databricks applications up to date with the latest features and improvements. We provide various methods of engagement which include resource monthly, resource hourly, tickets based etc as well as flexibility with the working hours.

Our strong technical expertise can ensure that your data lakehouse platform is always up and running. Reach out to us now to learn more

Analytics &AI ML Solutions

With our strong knowledge in analytics, ML and AI technologies, we can help you with collecting the required data, pre processing it so that is ready for ML AI algorithms and finally based on your business use case requirement we can also build various Machine Learning (ML) and AI models on top of this data. Databricks inherently supports various languages and frameworks which are optimized for data analytics like Python, Scala, Tensorflow etc. Our AI/ML capabilities include hyperparameter tuning, automated machine learning, and deep learning to help you achieve greater accuracy and efficiency.

Reach out to us(nikhilesh@helicaltech.com) to learn more about our experience, POC, past work, relevant domain clients etc.

Why Choose Helical?

Helical can be your preferred technical partner for your Databricks data lakehouse journey. Helical has been in the space of Data Integration, Data Engg, Data Visulization and Data Analytics for more than 10 years now and have had experience across various domains and geographies. As a leading name of this domain, we have consistently delivered innovative solutions that empower businesses to thrive in the digital era.

If you are looking for a technical vendor for your Databricks implementations services, here’s why Helical stands out as the ideal choice:

Open Source Expertise

Right from the inception Helical has been very heavily involved in various open source initiatives and Apache projects. Our past experience of other open source tools experience includes tools like Jaspersoft, Pentaho, Talend, Spark, Helical Insight, Iceberg, Drill, Cassandra etc. In many of these past implementations we have worked at the code level as well and added capabilities not directly avalaible. Databricks is also built on top of open source project Apache Spark on which also we have got lot of implementation experience.

Cross domain Experience

With a decade of experience of working in the data stack domain, we have worked across all 3 generations of data and BI which includes 1st gen DW, 2nd generation Data Lake and 3rd generation Data Lakehouse. We have had the pleasure of serving more than 85+ clients including Fortune 500 clients. Our cross domain and diverse industries experience go a long way in delivering tangible results and driving data-driven decision-making for our clients.

Associated technologies knowledge

Databricks is built on top of Apache Spark which we know very well. Aside Databricks also support of MLFlow, PySpark, Scala and other technologies also which we have good experience on. Having been in this space for more than a decade, we are also aware of advantage and disadvantages of various technologies and platform like DW, Data Lake, Data Lakehouse, Inmemory etc. This kind of knowledge puts us in a good position to provide consultation as well on hardware, software, cloud, BI as well.

Data Engineering Experience

At Helical, we have got implementation experience on top of various kind of data engg. and data pipeline tools. This includes tools like Talend, Pentaho Data Integrator (Kettle), Apache spark, AWS Glue, data bricks etc.

Tailored Solutions

With every customer having their own custom data requirements, one size fit all approach will not work. Helical takes a personalized approach to Databricks, crafting solutions that align precisely with your organization’s goals. Our customized Databricks services ensure that you get the most value out of your data assets.

Cloud experience

Via its partnership with various cloud vendors, Databricks does provide its technology platform across various most popular clouds. At Helical, we hae got experience across various popular cloud technologies like AWS, GCP, Azure etc.

Seamless Integration

Helical’s Databricks services seamlessly integrate into your existing data ecosystem. Whether you’re starting fresh or looking to enhance your current processes, our experts ensure a smooth integration that complements your workflow.

Comprehensive Services Suite

Helical offers end to end services in the data stack. From robust Data Warehousing solutions to cutting-edge Business Intelligence, powerful ETL processes, and advanced Big Data analytics, Data Analytics and Machine Learning we provide end-to-end services to meet all your data management needs.

Helical’s Methodology of Working

Airbyte Consulting and Services

Requirement Understanding

This is the first and most important step in software development, where the developers and the clients communicate and clarify the needs, expectations, and objectives of the software project. This helps to define the scope, budget, timeline, and quality of the software.

Documentation

This is the process of creating and maintaining various documents that describe the software project, such as the requirements specification, the design specification, the test plan, the user manual, etc. Documentation helps to ensure that the software meets the requirements, facilitates communication and collaboration.

Strategy Building

This is the process of planning and organizing the software development activities, such as the methodology, the tools, the resources, the risks, the milestones, etc. Strategy building helps to align the software development with the business goals, optimize the efficiency and effectiveness of the development process.

Design and Development

This is the process of creating and implementing the software solution, based on the requirements and the strategy. Design and development involves various tasks, such as the architecture design, the coding, the integration, the configuration, the debugging, etc. Design and development helps to transform the software idea into a functional and usable product.

Testing

This is the process of verifying and validating the software product, to ensure that it meets the requirements, the specifications, and the quality standards. Testing involves various techniques, such as the unit testing, the integration testing, the system testing, the acceptance testing, etc. Testing helps to identify and fix the errors, bugs, and defects in the software.

Deployment

This is the process of delivering and installing the software product to the target environment, such as the server, the cloud, the device, etc. Deployment involves various activities, such as the packaging, the distribution, the installation, the activation, the migration, etc. Deployment helps to make the software product available and accessible to the intended users.

Support and Handover

This is the process of providing and transferring the software product to the clients and the users, along with the necessary documentation, training, and maintenance. Support and handover involves various aspects, such as the feedback, the evaluation, the warranty, the updates, the enhancements, etc. Support and handover helps to ensure the satisfaction and loyalty of the clients and the users, and to complete the software development cycle.

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