Big Data Consulting Services
Cilio Automation Factory is the premier digital transformation company with expertise in big data services. With the right set of advanced and modern technologies & tools, Delta Lakes, Spark, Hadoop, and Cloud technologies, we are well-equipped to process datasets, drive business insights, and suggest more cultivating strategies for data culture implementation. We provide full-fledged big data services, from big data consulting services to implementation and support.
Big Data Services: Right from Consulting to Implementation
Big data services are based on mining a massive chunk of data and providing the most suitable one that helps your business maximize its growth. As a leading big data services company, our main aim is to unfold insightful data that helps businesses make more optimal decisions. Our vast expertise, we help companies automate their big data projects by providing customized solutions for each business’s needs. We help you to make your business grow and improve your business decision-making process.
Big data is information that is too large and complex for a single database or computer system to process. This includes everything digitized, including both structured (e.g., databases) and unstructured (e.g., text, like documents). Because it is so much more complex than traditional data, it requires more advanced tools to analyze these large amounts of data to capture patterns, trends and insights that organizations can use.
Cilio Automation Factory is the global leader in building analytics platforms designed to help companies automate their big data projects by providing customized solutions for each business’s needs. Our big data consulting services encompass big data strategy, real-time big data processing services, machine learning, data platform management, and analytics solutions.
Any business problem is being addressed well with the inclusion of big data services such as:
Organizational fraud detection, improving customer acquisition strategies and enhancing customer experience.
Application streaming is a form of on-demand software distribution. At Cilio Automation Factory, our experts select essential portions of an application's code that need to be applied on the user’s computer; while the end user performs actions in the application, the necessary code and files are delivered over the network as and when they are required. The concept relates to application virtualization, where apps can run virtually on machines on a central server, which is differentiated from a local system. We are a global expert at performing application streaming.
A data lake is a repository of data where a company’s data is stored. It consists of structured data, semi-structured data (CSV, logs, XML, JSON), unstructured data (email, documents, PDFs), and binary data (images, audio, video). Delta Lake is a phenomenon that acts as an additional storage layer that makes data lakes reliable. It uses versioned Parquet files to store data in cloud storage. At Cilio Automation Factory, we hold expertise in handling & managing Data Lakes & Delta Lakes.
Big data processing is a set of programming models that enables companies to access the full leverage of their data. The respective process includes various pointers, i.e., Analysis using RAM; NoSQL databases; Columnar database that minimizes the number of reading data items during query processing; Graph databases and analytical tools; Extracting, Transformation, and Loading (ETL) operations; Processing big data with interactive data querying; Predictive analytics. At Cilio Automation Factory, we understand every technique of big data processing & give unmatched big data consulting services.
Data integration is merging data from multiple source systems to build unified sets of information for operational and analytical usage. Under data integration, a blend of businesses and technical processes integrates data from various sources and derives valuable insights. When you integrate data, you can rely on meaningful data that is entirely authentic and helps business admins and users in extracting reliable data. We are a tech-ninja team with a smart grip on handling data integration.
Lifting & Shifting Data From RedShift To Azure SQL Using Azure Pipeline
Easy data migration is one of the key components of Digital Transformation. This case study will investigate how we created an Azure pipeline to orchestrate an automated data migration workflow using ETL logic.
The objective of this workflow was to transfer raw data from Amazon Redshift to Azure SQL data warehouse. Additionally, we were required to create a logic that would trigger automated data extraction based on parameters like – new file entry or a specific time of the day.
Big Data Implementation Strategy
The Big data ecosystem can act as catalysts to boost your organization’s operational efficiency and empower your business decision-making process to be much more reliable and streamlined. A big data ecosystem can become pivotal for a company’s valuable store once it is analyzed, collected, and managed efficiently. To make this process smooth & streamlined, you strongly recommended pursuing a productive & reliable big data analytics strategy.
(1) Determining the existing & potential data sources
Determining only existing data is not enough to identify the big data. Still, if you need to identify the potential data, you are strongly recommended to use additional data sources from structured & unstructured data and determine the potential big data. Once you are done with the process, our big data specialists help you prioritize your data and evaluate the stage.
(2) Perform the Data storing process
Storing data into the data or delta lakes help you to save some of your data storing cost. As data lakes are the repository for storing structured and unstructured data, unlike data warehouses, it implies a flat architecture to store in its source format. Building data and deploying it using cloud or in-built infrastructure using some dedicated tools like Hadoop, S3, GCS, or Azure Data Lake is possible with a productive strategy.
(3) Associating data sources to clients
Once data sources and storage has been done, associating the data as per the need of the client is an imperative task. We specialize in the same, and we proficiently connect them to the prerequisite of your clients. After analyzing the needs of every business, their respective industry, and the ideology of how they deal with transmitting their data, we aid every industry in transferring the data in the required form.
(4) New data hub Incorporation
A data hub is a collection of data from various resources organized for data distribution, data sharing, and data subsetting. After connecting data sources with the clients, the next step we accomplish is new data hub incorporation. Though it is a gradual process, one can adjust different operations and data utilization here.
(5) The client’s data is associated with the company’s process
Whenever you gather a data set for a company, it’ll hand an opportunity to improve your services or products to the new or improved ones. Hence, it's a wise term to make data-driven decision implementation at every company’s level, i.e., marketing, product development, pricing, operations, and HR. We are an expert big data services provider that understands every business need and performs up-to-date techniques.
(6) Quality Analysis
Quality analysis, i.e. testing, evaluation, and learning, are the pivotal phenomena in the big data analytical process. While performing data set collection, we test the process at every assumption so that we can deploy the solution that helps in making the right decision. Big data visualization tools and techniques are essential at this stage, too, and we possess a firm grip on the mechanism of every tool and technique.
Being a global leader in catering big data services, we have a pool of talents. Our AI developers and architects hold a firm grip on using the best & upgraded tools/technologies available in the market. We are dedicated to using open source technologies to keep our customers more feasible at using our services.
Primary Quality
We are specialized in providing quality, as it is our topmost priority. Hence leave the worries and entirely rely on our big data solution implementation.
Power Efficiency
Our implemented solutions help businesses save a major amount that comes in operational costs; thus, we are experts at amplifying your revenue segment.
Quick Working Process
Since the day of communication, we have assigned Big Data experts to your project as early as possible. This led to our customer's faith in us.
Pocket-friendliness
Leveraging the benefits of our big data services helps you to save your pocket because creating your own Big Data and Data Engineering departments might be a too colossal investment.
Trust is the core of every flourishing growth
We are a top digital transformation solution-providing company because of our customer's faith. We have catered to diverse industry ranges, and our customers have been with us since our inception. We are committed to delivering reliable big data services, which helps us make our customers content. We have helped our customers strategize their business goals and build innovative products. We have been established as a trustworthy extension to our clients to achieve what they require to uplift their growth.
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