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Power BI is a business analytics tool developed by Microsoft. It allows users to create interactive visualizations and reports from various data sources. Here are some key features and components of Power BI:

Data Connectivity: Power BI can connect to a wide range of data sources, including databases, cloud services, Excel files, web services, and more.

Data Modeling: Users can import data into Power BI and create relationships between different data tables. This helps in building a unified view of the data for analysis.

Data Visualization: Power BI provides a variety of visualization options such as charts, graphs, maps, and tables to represent data visually. Users can customize the appearance and format of visualizations to suit their needs.

Dashboard Creation: Dashboards in Power BI allow users to combine multiple visualizations onto a single canvas. This enables them to monitor key metrics and performance indicators in real-time.

Query Editor: Power BI includes a Query Editor tool that allows users to clean, transform, and manipulate data before importing it into their reports. This helps in preparing the data for analysis.

Natural Language Querying: Power BI supports natural language querying, allowing users to ask questions about their data in plain English and get relevant visualizations and insights in response.

Sharing and Collaboration: Users can share their Power BI reports and dashboards with others within their organization or externally. This enables collaboration and facilitates decision-making based on shared insights.

Security and Governance: Power BI offers robust security features to control access to data and ensure that sensitive information is protected. It also provides governance capabilities for managing and monitoring usage within an organization.

Mobile Access: Power BI offers mobile apps for iOS, Android, and Windows devices, allowing users to access their reports and dashboards on the go.

Integration with Other Microsoft Tools: Power BI integrates seamlessly with other Microsoft products such as Excel, SharePoint, and Azure, as well as with third-party applications through APIs and connectors.

Overall, Power BI is a powerful tool for data analysis and visualization, suitable for businesses of all sizes across various industries.

20/12/2017

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22/08/2017

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12/03/2015

http://www.forbes.com/sites/louiscolumbus/2014/12/29/where-big-data-jobs-will-be-in-2015/

Demand for Computer Systems Analysts with big data expertise increased 89.9% in the last twelve months , and 85.40% for Computer and Information Research Scientists. Demand for Python programming expertise increased 96.9% in big-data related positions in the last twelve months. These and other key i…

18/02/2015

JUSTDIAL BEST RATINGS

17/12/2014

BIG DATA/HADOOP JOB MARKETS WORLDWIDE AND SALARIES:

Team leaders and recruiters:

The big data job market is an extremely competitive one; you need to make sure to bring the proper weapons to battle. If your compensation is in the bottom quartile or even below median, you'll have issues appealing to people with the skills you desire. Hopefully, the comprehensive view from this article is helpful in setting competitive compensation levels for your current employees, as well as for open job reqs.

Data Analyst Salary

Data analysts are quant-focused professionals that work hands-on with data, and tend to be at a stage in their career where they are building up their arsenal of tools and developing towards an advanced skill set. Data analysts are potentially 'data scientists in training' or 'analytics managers in training'.

Because it is possible to become a data analyst directly out of school, we will differentiate between entry-level and experienced data analysts. For entry-level data analysts, we refer to individuals who have either a BS or MS degree, but no full-time industry work experience. Suggested Salary Range for Data Analyst – Entry-Level $50,000 – $75,000

Data analysts that have had the chance prove themselves and get promoted through the ranks will command increasing levels of compensation, up through the six-figure threshold. Suggested Salary Range for Data Analyst – Experienced $65,000 – $110,000

TANDEM,LOCATED IN TIRUNELVELI OFFERS NOW SPECIALIZED TRAINING FOR BIG DATA/HADOOP.IDEAL FOR FINAL YEAR BE/BTECH/BSC/MCA/2012/2013/2014 PASSEDOUTS STUDENTS LOOKING FOR JOBS.Tandem-98940 20340