Exclusive Interview with Praktec Consul, Head of Operations and Engineering in India
By Analytics Insight
December 29, 2021
The information is the oil of the future. If an organization knows how to handle a lot of unstructured information, there is nothing stopping it from reaching the top. The founders of Compris, which launched the company in 2014, managed to manage the growing growth of multicultural storage and cloud computing and open data value to solve the two most pressing issues.
Analysis Insights India Operations Officer and]Engineering Compressise gave an exclusive interview to Practice Council.
1. Kindly inform us about Compress, its diversity and the services your company provides.
The founders of Compris, which launched the company in 2014, managed to manage the growing growth of multicultural storage and cloud computing and open data value to solve the two most pressing issues. Compressive Intelligent Data Management automatically moves unstructured information to secondary storage according to user-generated plans so that the information is always available at the right time with other parameters such as age, usage or security. Compress Rubber Grid Architecture and Clear Move Technology (TMT) ™ ensures that users can always access files from the original location once they are transferred from network-connected storage (NAS). Today’s opportunity, and in connection with our short-term and long-term goals, is to continue to push the platform to help companies use multi-cloud environments and cloud-based AI / ML and data lakes. At the same time, Komprise is always working behind the scenes to improve storage efficiency, correct placement and accurate data size. Our latest product development, Komprisdeep Analytics, is an important step forward for our customers on this journey.
2. On what mission and purpose was Comprisis established? In short, can you tell us about the journey you have taken since the company was founded?
Our co-founders, Kummer Goswami, Mike Percy, and Krishna Subramanian Compris, worked on two early startups and brought their knowledge of a compliant error-tolerant computer. They have seen the data grow like crazy and there is a lack of creativity in the world of unstructured data management. In a conversation with the CIA, they learned a common theme. The founders realized that we had to do something agnostic. Everyone had information. But they did not look for another solution to create a broker. Compress developed then, and analysts knew it would be an integral part of the equation. But they are not just analytics. We had to allow customers to act on perceptions. We had to be agnostic. We need to make sure we do not go in front of the information. All of these principles from previous customer certification are still part of our DNA.
3. Tell us how your company is contributing to AI and big data analytics and how your customers are benefiting from this.
Komprise uses ElasticSearch technology to create a global file index wherever it is stored. This allows IT users to find exactly the data they need (for example, by project or file type) and then send it to a cloud database and analyze and use it. By making it easier to search in databases, instead of trying to compile and move large databases to a central location, Compress is accelerating the analysis of clients who want to monetize the data they store on or off campus. Cloud. Our latest product improvement, in-depth analytics steps will take this one step further by enabling instructions on those queries. For example, if you want to sync files generated by certain devices to the cloud, you can create a policy in Compression seconds, so that when new files are created, they run continuously and automatically by Komprise. This makes it easier to use strategic analytics to move and work on information. As this is a new function, Compressor customers are just getting started on this issue. But in industries that require information such as life sciences, higher education and financial services, we have heard a lot from customers about the benefits of their researchers finding easy ways to manage untapped data for long-term value and open up cloud-based tools.
4. Kindly share your views on the current state of big data analysis and its future in an unorganized data management context. What are the most important trends you see around the world?
With the growing demand for machine learning and artificial intelligence (AI), I think we will see more investment in unorganized data analytics and data management solutions. Unstructured data is so large and useless that most of it grows out of the cloud, making it a major trend for data management to cover up and streamline unstructured information for cloud analytics. We are seeing cloud data warehouses like Snowflake start to support unstructured data, but these are just the beginning. Integrating unstructured data into structured and semi-structured analytical tools and practices into the world is a mature environment for creativity. But there are other issues besides equipment.
Big data is almost huge and is creating hard-to-use data marshes. Finding the right information wherever you go and getting it into data analytics provides more relevant analytics as it saves a lot of time and effort. So, instead of big data, a new trend is to develop analytics called “real data”
4. Komprise kindly mention some of the major challenges you have faced so far in India and how you are facing them.
Compresses are migrating daily and growing rapidly. One of the challenges is to keep up the pace of growth and keep our team afloat. Indian staff are assisting with some of Compressor’s major innovations, including our in-depth analytics engine powered by Elasticsearch. We want the best and brightest and we want to hire them permanently. Our focus is on recruiting and developing fresh talents from college graduates in India. These young, emotional individuals bring out-of-the-box thinking into our team and are critical to helping us solve technical problems.
5. How do you see the company and the industry in the future?
Compress is a great place to help IT organizations solve critical issues with information management. Our analysis-first approach makes sense because it is the only way to accurately understand data to manage costs and effectively manage data for business needs, compliance needs and long-term value. Our clients around the world have achieved significant cost savings by reducing data handling burdens. In addition, cloud-based services for ML, AI, and data lakes are maturing and growing in popularity, and it is time to integrate unstructured data with these analytics tools. This will be a big trend and a challenge. We plan to be swimmers.
Contributed to Cloud analysis in terms of enabling technology. We have strong partnerships with large storage providers and cloud providers and can help our customers move information from vendor locks (including locking our solution) to where they want. Anytime and without any heavy charges or problems.
7. What are your growth plans for the next 12 months in India?
The engineering team in India is responsible for building some of the most important functions of our product and is involved in all the major innovations we build for our customers. The Indian staff has been leading the way in building and maintaining the Compress Analysis engine, helping to provide our customers with cloud data management capabilities that enable them to use cloud storage. We are now looking to fill many important roles in our Indian office, including many engineering roles and advanced opportunities in Bangalore. We want to hire production and operations leadership as our team grows. We plan to expand Indian operations by more than 50% next year.
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