Laavanya | Oct 2, 2022 | Views 5632

CCI Recruitment 2022: Salary up to 105000, Check Posts, Eligibility and How to Apply Here
CCI Recruitment 2022: Competition Commission of India (CCI) is looking for eligible candidates for the engagement of Young Professionals (YPs)/Experts on a contract basis. There is only 07 vacancy for this job post. Interested candidates should review the job description and apply using the link provided in the official notification. The applicant should have a Degree of LL. B or equivalent from a recognized University and/ or Institute in India or abroad, recognized by the Bar Council of India will be given preference. The last date for receiving applications is 25.10.2022.
Candidates are requested to apply for the job post before the deadline. No application shall be entertained after the stipulated time/ date. Incomplete applications and applications received after the specified time/ date shall be REJECTED. All the details regarding this job post is given in this article such as CCI Recruitment 2022 official Notification, Age Limit, Eligibility Criteria, Pay Salary  & much more.
1. Law: Degree of LL.B or equivalent from a recognized University and/ or Institute in India or abroad, recognized by the Bar Council of India.
2. Economics: Post Graduate degree in Economics from either a recognized University in India or abroad.
3. Publication: Technical expertise in publication work and skill of DTP software, Adobe Creative Cloud Software for editing and designing contents, pamphlet, pics, diagrams, videos, etc.
4. Information Technology: Masters’ degree in Computer Application/ Computer Science/Information Technology from a recognized University
1. Law: Experience in judicial or legal work, in Supreme Court, High Court or any other Court, Government or a Regulatory Authority or a Tribunal or any similar forum.
2. Economics: Experience in the field of microeconomic problems, including International trade, investment, project evaluation and appraisal, industrial organization, Industrial economics or financial regulation including competition assessment, using quantitative economic techniques in Government, public sector, private sector, Non-Governmental organizations or regulatory authorities or regional/international/multilateral organization
3. Publication: The candidate shall be responsible for the overall design and illustrative/graphic/visual work for Advocacy and Publication materials.
4. Information Technology: Experience in digital investigation/computer forensics/cyber security/Design and development of Web portal and Mobile Application in Open Source technology/experience in NIC deployed projects/Security Audit and bug fixing/ Data Centre Virtualization/Expert in workflow based system, Document Management System, Business Process Automation, Database design and development/ Experience in designing, implementation & monitoring of IT network/ Installation, Configuration of AD, windows/ Linux server, VMs, NAS, IP Phones etc./ LAN Infrastructure Management / Configuration and Maintenance of Switches, Routers, Call Manager, IP Cameras, NMS, Video conferencing systems, EndPoint Security & Active Directory Services.
The Selected candidate will be given a salary between the pay scale of Rs.60000 to 105000.
1. The age limit for Young Professional, Gd.-I is up to 30 years.
2. The age limit for Young Professional, Gd.-II is Up to 35 Years.
Application may be forwarded in the prescribed format along with self-attested copies of supporting documents (viz. educational qualification and experience) failing which candidature will not be considered. The duly filled application along with supporting documents may be sent to the:
Deputy Director (HR), H.R. Division, Competition Commission of India, 8th Floor, Office Block–1, Kidwai Nagar (East), New Delhi – 110023.
To Read Official Notification Click Here
Disclaimer: The Recruitment Information provided above is for informational purposes only. The above Recruitment Information has been taken from the official site of the Organisation. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company or organization posted the recruitment Vacancy. We don’t charge any fee for providing this Job Information. Neither the Author nor Studycafe and its Affiliates accepts any liabilities for any loss or damage of any kind arising out of any information in this article nor for any actions taken in reliance thereon.

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The global document workflow management software market is a big and growing business, reaching $8.52 billion in 2021 and estimated to grow to $55.35 billion in 2028, according to Grandview Research.
One company, airSlate, disrupted the category by focusing on the needs of individual users at small and mid-sized businesses and using the scientific method to constantly test and learn its way to product development, customer satisfaction and market share growth.
Headquartered in Boston, airSlate began life as PDFFiller in 2008, a company founded by Vadim Yasinovsky, who developed a way to create editable forms and documents from PDF files. That company struggled to grow until Yasinovsky’s friend Borya Shakhnovich became CEO and broadened the company into document workflow and digital transformation that turned the company into a fast-growth software business. This founder’s journey story is based on my interview with Shakhnovich.
airSlate Co-Founder and CEO Borya Shakhnovich.
Prior to airSlate, Shakhnovich was the founder of Orwik, a community network for scientists and institutions, and Yasinovsky was one of his investors. “I came to one of my investors who was running PDFFiller at the time. And I said, ‘Look, I have this marketing technology, why don’t you apply it To PDFFiller?’ And he said, ‘I don’t know anything about how to apply this marketing technology, why don’t you come and build it with me.’ And that’s how airSlate was really born,” says Shakhnovich.
At that time, PDFFiller was a small company with $400,000 in annual revenue. Using Shakhnovich’s technology and business savvy, the team bootstrapped PDFFiller to grow to reach 160,000 customers, 160 employees and $60 million annual revenue. After several years, Shakhnovich moved into the CEO role and the company greatly expanded its product offering and formally became airSlate in 2018.
Today the company positions itself as a global SaaS technology company that provides no-code business process automation and document management solutions to companies of all sizes. Its PDF editing, e-signature workflow, and business process automation solutions allow users to solve document workflow challenges more easily and at lower cost than other enterprise software providers, according to Shakhnovich.
The company continues to experience significant growth, increasing revenue 50% year over year, expanding its customer base and including partner collaborations with Amazon Web Services, Inc. (AWS), Microsoft, Samsung, SoftwareOne, Xerox and others. “Right now, we have over one million customers and about 1,000 employees,” says Shakhnovich.
As a result, the company has raised a total of $181.5 million in venture funding to date. Its most recent $51.5 million financing on June 16, 2022 led by G Squared, including a strategic partnership with UiPath, valued airSlate at $1.25 billion. Additional investors include Silicon Valley Bank, Morgan Stanley Expansion Capital, High Sage Ventures, General Catalyst, Horizon Capital and others. “We’ve run this business pretty much cashflow neutral throughout the last 10 years. So all of the money that we raised is either on the balance sheet or used for M&A,” says Shakhnovich.
Before becoming an entrepreneur, Shakhnovich was an evolutionary biologist and approaches business with an evolutionary design model and attributes his success as a leader is to his academic training. “I like interdisciplinary approaches to solving complex problems whether using Physics to understand customer acquisition or using Biology to understand customer retention. Before my life in startups and online marketing, I used to teach bioinformatics at BU and do systems biology research at Harvard,” says Shakhnovich.
Shakhnovich grew up in Russia up until the age of eleven. His family moved to the U.S. in 1990 when his father became a professor of chemistry at Harvard. Shakhnovich followed in his father’s footstep and pursued an academic career. He attended the University of Illinois, in Urbana Champaign. “I studied computational biophysics, so nothing that’s even remotely related to business,” says Shakhnovich. After graduating, he went on to earn his PhD at Boston University in bioinformatics, which is the statistical analysis of biological systems, including genes, proteins and evolution. He then became a professor of Bioinformatics at Boston University in 2004 and soon thereafter moved over to Harvard in 2006 to lead a Systems Biology group there.
In 2008, right before the beginning of the financial crisis, he left Harvard to start his own business. “I always wanted to be an entrepreneur. I always wanted to create my own business. And in a lot of ways, being an academic is actually like running your own very small business,” says Shakhnovich.
He founded Orwik a professional network for researchers that was meant to solve the problem of transparency in the academic process, but after four years trying to make it work, the business never took off. “I made all of the mistakes that I think beginning entrepreneurs make. I started building a company for myself instead of for customers and built a product without testing it in the marketplace,” says Shakhnovich. He apparently learned his lesson well with the creation and exponential growth of airSlate.
As for the future? “Over the next five to ten years, we would like to train a million people on using our technology to increase their efficiency and value to their own business. We want to help an employee that was earning $40,000 to $50,000 and turn them into an employee that is critical to the business, earning $100,000 to $120,000. And that’s the mission of the company overall,” concludes Shakhnovich.

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Top data modeling tools of 2022
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Identify which data modeling tools are right for your business. Discover the top tools of 2022 now.
Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across the market as well as for their specific operational needs. In this guide, TechRepublic has reviewed the top data modeling tools, discussing the pros and cons and differentiating features of each solution.
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Data modeling is the process of creating and using a data model to represent and store data. A data model is a representation — in diagrammatic or tabular form — of the entities that are involved in some aspect of an application, the relationships between those entities and their attributes.
SEE: Job description: Big data modeler (TechRepublic Premium)
Data models represent many aspects of an organization’s operations: business processes, informational needs, data required to support processes, organizational structure and systems architecture.
These models can be either conceptual, logical or physical. A good data model includes primary and foreign keys, which allow you to maintain referential integrity; this allows your database to grow without data loss. You also need design patterns like aggregate tables, lookup tables and transactional tables, all of which help to organize your data depending on its usage.
Data modeling tools are software solutions that help analysts make sense of large amounts of complex data, turning them into visual representations such as graphs, charts and diagrams. These are some of the top data modeling options on the market today:
IDERA ER/Studio is a data modeling software suite for business analysts, architects and developers. It allows them to create data models for various applications and provides several components such as business data objects, shapes, text blocks and data dictionary tables. IDERA ER/Studio is an intuitive tool that is capable of easily integrating different enterprise systems, giving users full control over their data management process.
erwin Data Modeler by Quest is a cloud-based enterprise data modeling tool for finding, visualizing, designing, deploying and standardizing enterprise data assets. It provides logical and physical modeling and schema engineering features to assist with the modeling process.
erwin is a complete solution for modeling complex data and has an easy drag-and-drop interface for creating and modifying structures, tables and relationships. In addition, this tool provides centralized management dashboards for administrators to view conceptual, logical and physical models.
IBM InfoSphere Data Architect is a data modeling tool that supports business intelligence, analytics, master data management and service-oriented architecture initiatives. This tool allows users to align processes, services, applications and data architectures. Data modeling, transformation, DDL script generation, database object creation, debugging, management and SQL stored procedures and functions are all available within IBM InfoSphere Data Architect’s portfolio of features.
Moon Modeler is a data modeling solution for visualizing MongoDB and Mongoose ODM objects. It also supports MariaDB, PostgreSQL and GraphQL. This tool allows users to draw diagrams, reverse engineer, create reports and generate scripts to map object types to the appropriate databases in the right format.
DbSchema Pro is an all-in-one database modeling solution that allows you to easily design, visualize and maintain your databases. It has many features to help you manage and optimize your data, including a graphical query builder, schema comparer, schema documentation, schema synchronization and data explorer. It can be used with many relational and NoSQL databases like MongoDB, MySQL, PostgreSQL, SQLite, Microsoft SQL Server and MariaDB.
Oracle SQL Developer Data Modeler is a free graphical tool that enables users to create data models with an intuitive drag-and-drop interface. It can create, browse and edit logical, relational, physical, multi-dimensional and data-type models. As a result, the software streamlines the data modeling development process and improves collaboration between data architects, database administrators, application developers and end users.
Archi (Archimate modeling is an open-source solution for analyzing, describing and visualizing architecture within and across various industries. It’s hosted by The Open Group and aligns with TOGAF. The tool is designed for enterprise architects, modelers and associated stakeholders to promote the development of an information model that can be used to describe the current or future state of an organization’s environment.
MagicDraw is a business process, architecture, software and system modeling tool that enables all aspects of model building. It provides a rich set of graphical notations to model data in all its complexities, from entities to tables. Its intuitive interface provides wizards for the most common types of models, including Entity Relationship Diagrams (ERD), Business Process Models and Notation (BPMN), and Object-Oriented Design Models (OO). In addition, MagicDraw supports round-trip engineering with Unified Modeling Language (UML).
Lucidchart is an intuitive and intelligent diagramming application that makes it easy to make professional-looking flowcharts, org charts, wireframes, UML diagrams and conceptual drawings. This tool allows administrators to visualize their team’s processes, systems and organizational structure. It also enables developers to create UI mockups in a few clicks.
It has a drag-and-drop interface which simplifies the process of creating these diagrams. It also integrates with other business applications like Google Drive, Jira and Slack, which helps users to complete project work faster.
ConceptDraw is a diagramming solution that enables users to create diagrams or download and use premade ones. The data modeling tools include: ‘Table Designer,’ ‘Database Diagrams’ and ‘Data Flow Diagram.’ Users can also create flowcharts, UML diagrams, ERD diagrams, mind maps and process charts with this solution.
The best data modeling tools allow you to represent information through tables, schemas, logical diagrams and entity relationship diagrams. These tools also have query-building and validation rules that allow you to validate the design before deploying it live. Key features to look out for include:
Data modeling is often done as part of a larger cycle, which includes development or change management. A round-trip engineer ensures that when changes are made to the model, they’re reflected in both areas.
Once you’ve created your data model, you’ll need to be able to import and export it as needed.
You should be able to take pictures or screenshots of any diagram on the screen so that you can share them with others or store them for future reference.
When using a data modeling tool, you should be able to define business vocabulary terms and map them to their usage within your model. These definitions ensure that people across the company use similar terminology and concepts.
Data modeling tool users should be able to break down their models into subsets and then validate these pieces of the whole against common requirements. Validation gives you an idea of whether or not your model meets some specific criteria before deploying it live.
One of the most valuable things about having a data modeling tool is being able to locate certain parts of your model quickly. To do this, you need an object search function that will scan the entire document for anything matching specific criteria.
Ideally, your data modeling tool will interface with other software programs. Doing so saves time because administrators can then automate many tasks.
Whether you want to create a new model from scratch or modify one of your existing models, you should always be able to connect directly to the relevant database for whatever task.
Reports provide valuable insights into how your system is functioning; it’s important to have a data modeling tool that makes creating them easy. Reports are usually generated by querying the underlying database and turning the results into something readable. They may contain any number of charts, such as bar graphs, pie charts, scatter plots and line graphs.
Charts offer another way to gain insights into how well your system works by presenting quantitative data intuitively.
Data modeling tools are a critical part of the modern business world, especially for data extraction, management and preparation for reporting. In order to use these tools effectively, it is important to understand the more specific benefits they offer your company.
SEE: Job description: Big data modeler (TechRepublic Premium)
For starters, data modeling can be used in both the pre- and post-processing phases of the data analytics process. As an example, data modeling can be used as a pre-processing technique to extract raw data from different sources in order to build unified datasets for analysis.
Once you have created these datasets, you can better combine them for more powerful insights. As a post-processing technique, data modeling can provide enhanced detail that users cannot glean through descriptive statistics alone. In addition, by using the advanced visualization tools that come along with data modeling software, analysts can quickly see relationships within their datasets in previously impossible ways.
These tools allow analysts to sort by specific variables, drill down into aggregated categories, pivot rows and columns, explore dimensions like time or geography, or filter results by keyword search. Data modeling tools also simplify tasks like extracting and inserting data into relational databases, building complex queries without writing code, generating accurate projections without heavy calculations and converting unstructured data formats into tabular structures.
And finally, data modeling software allows increased transparency on all levels of the analytical process, which is an important step toward true data democratization in your organization. These tools are becoming increasingly imperative to staying competitive in today’s market.
Learn the latest news and best practices about data science, big data analytics, and artificial intelligence.
Top data modeling tools of 2022
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