Salesforce – Is it right for your IT career

Are you looking for a new career in your IT professional journey?
Have you worked as a Documentum Professional for more than 10 years as a developer/architect and now in search of your next big thing?
If you would like to start small and show your innovative inner self to the world?
Look no further and take a leap of faith and jump into Salesforce and become a Salesforce professional.

There are unlimited possibilities in this profession and you design how you want to proceed.
In the world of paying hundreds and thousands of dollars to train resources on new technologies, Salesforce has set a new benchmark to literate freely on a highly reliable career starting platform in the form of Trailblazer learning community.

It is not a revolution but an evolution in how can you build your own career with the right guidance and constant feedback.

Choose the right technology…and a wise decision always important to end up in the right future…

Check out this page and section regularly if you are looking for more information on Salesforce technologies and starting a new journey in Salesforce.

Salesforce Insights and steps to get into Salesforce career.

Data Science -Data Loading Techniques in Hadoop

Data science is the study of the generalizable extraction of knowledge from data, yet the key word is science. The tutorial wil give a brief understanding about Data Science.
The topics covered in the video:

1.Data Loading Techniques and Data Analysis
3.Using PIG
4.Using HIVE
5.Data Loading Using Flume
6.Data Loading Using Sqoop
7.Map Reduce Process
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Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world.
8.The Overall Map Reduce Word Count Process

Data Science Tutorials for Beginners

Data Science is all about extracting knowledge from data. Data Science is the integration of methods from mathematics, probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, visualization, uncertainty modelling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products. This interdisciplinary and cross-functional field leads to decisions that move an organization forward in terms of proposed investment, decisions regarding a product or business strategy.

Data Science is a buzzword, often used interchangeably with analytics or big data. At times, Analytics is synonymous with Data Science, but at times it represents something else. A Data Scientist using raw data to build a predictive behaviour model, falls in to the category of analytics.

Data science is a steadily growing discipline that is driving significant changes across industries and in companies of every size. It is emerging as a critical source for insights for enterprises dealing with massive amounts of data.

Data Science is field of study that involves extracting meaningful insights from the data. It is a progressively growing discipline that is bringing change in the industries and companies across the world. Watch the video, which gives a detailed explanation to various concepts related to the discipline and emphasizes the Data Science in combination with the programming language R.
Following are the topics covered in the tutorial:
1.What is R?
2.Data Analysis Process
3.Why use R?
4.R: Functional Advantages
5.R Programming Concepts
6.R: Data Import Techniques
7.Processing the Data
8.Plotting Functions in R
9.Data Sub-setting: Indexing
10.Control Structures in R
11. Functions in R