Best data automation practices
Our engineers use the sharpest tools on the shelf to make the process of handling data as fast and accurate as possible. We implement data quality solutions, data cleansing practices, and a wide variety of other tools to retrieve, transfer, and store information without causing the customer any additional hassle.
Fully customizable data storage
No matter what your data storage needs, we can meet them. Get a fully customizable storage solution perfectly adapted to your business requirements from a trusted data engineering provider.
Excellent data processing scalability
With advanced enterprise big data solutions, our engineers can set up the processing of virtually any volume of data. Make the most of continuous information analytics with our data engineering and consulting services.
Seamless operation
We ensure that during data aggregation, migration, and other information-handling activities, none of your business processes will stop for a moment. Keep operations running smoothly while the data is working for you.
Improved efficiency
Our engineers integrate AI, Big Data, and Data Visualization tools into your business processes for the most efficient operation. The perfect cutting-edge technology will be at your disposal.
Reduced costs
Optimize your expenses by adjusting infrastructure TCO, speeding up infrastructure growth, and reducing time-to-market. Our consulting team’s comprehensive work will help you significantly reduce data processing costs and increase revenue.
Best data automation practices
Our engineers use the sharpest tools on the shelf to make the process of handling data as fast and accurate as possible. We implement data quality solutions, data cleansing practices, and a wide variety of other tools to retrieve, transfer, and store information without causing the customer any additional hassle.
Fully customizable data storage
No matter what your data storage needs, we can meet them. Get a fully customizable storage solution perfectly adapted to your business requirements from a trusted data engineering provider.
Excellent data processing scalability
With advanced enterprise big data solutions, our engineers can set up the processing of virtually any volume of data. Make the most of continuous information analytics with our data engineering and consulting services.
Seamless operation
We ensure that during data aggregation, migration, and other information-handling activities, none of your business processes will stop for a moment. Keep operations running smoothly while the data is working for you.
Improved efficiency
Our engineers integrate AI, Big Data, and Data Visualization tools into your business processes for the most efficient operation. The perfect cutting-edge technology will be at your disposal.
Reduced costs
Optimize your expenses by adjusting infrastructure TCO, speeding up infrastructure growth, and reducing time-to-market. Our consulting team’s comprehensive work will help you significantly reduce data processing costs and increase revenue.
Both ETL and ELT are abbreviations to describe steps of the data integration process, and the difference in the letter sequence reflects the difference in the sequence of these steps.
ETL stands for extract, transform, load. ETL jobs and pipelines help move data from source to target, taking into account DWH design. Data transformation occurs in the processing area, and processed information that meets standards, such as GDPR, HIPAA, etc., enters the target systems.
ELT stands for extract, load, transform. With ELT processes, data is loaded into Data Lake or target systems and is processed after loading. This approach provides more flexibility and simplifies storage when new data formats evolve.
ELT can be seen as an alternative approach to data transformation. The Extract-Load-Transform approach is seen as a more modern and agile way to work with data than ETL. Data analysts can see all the data when loaded to the warehouse and can participate in setting data transformation logic. In this case, transformed data will be truly representative. Working in a data engineering company, we noticed that ELT process is faster to perform and avoids server scaling issues.
Despite being a game changer in the business world in a digital era, big data creates challenges at all stages, from collecting to maintenance and deriving insights. Here are the key challenges of big data:
Visual Flow data engineering services provider can help you to overcome these challenges by offering winning ELT/ETL tools and high-standard big data engineering services.
The cloud data engineering services provide multiple engagement models to match your budget and help to reduce fixed costs and total cost of ownership. This helps speed up infrastructure growth and introduce new capabilities (AI, Data Visualization, and more).
Cloud migration with IBA involves a three-step process.
Step 1 Mobilization. Defining migration goals, scope, risks, and model of work (Scrum/Kanban).
Step 2 Initial Iteration. Final approval of terms, scope, team, milestones, goals, etc. for MVP.
Step 3 Pilot Iteration(s). Iterative /continuous process with discussions about unplanned changes.
Step 4 Presentation of MVP. Correction of the high-level plan.
With IBA Group as your cloud migration partner, we’ll prove the value of the cloud and jumpstart your broader migration. In about two months, you will:
The final amount depends on a range of factors, such as: