Value of adopting Data Science Skills
Data Science is responsible to provide meaning to the large amounts of complex data called big data. It involves different fields of work in statistics and computation to interpret data for decision-making.
Advances in the internet and social media is increasing access to big data. Extraction of meaningful information requires the use of AI and ML by data science. Big data is used in every sector and the field of data science is growing at a fast pace.
What is Hadoop?
Hadoop is a software framework that stores data and run applications on clusters of commodity hardware. Data engineering and software engineering techniques are used for distributed computing, warehousing methodologies, large-scale analytics, and distributed systems administration. It the most efficient framework for performing high-end analytics and holds the ability to handle limitless jobs.
Data Science, on the other hand, makes use of SAS and R to perform analysis. What if SAS and R get clubbed with Hadoop. There will be a disruption where you will be able to analyze large datasets with a plethora of different tools. Jobs in data revolve around Hadoop and data science. Therefore, consider data science an important field to make a career that is lucrative enough to leave you satisfied.
Advantages of learning data science
Gaining extensive knowledge of data science and Hadoop together can make you understand Hadoop architecture, Develop distributed computations with MapReduce and the Hadoop Distributed File System, Explore data warehousing, and other projects in the Hadoop ecosystem, Use Hive to query and analyze relational data within Hadoop, Use filtering, summarization, and aggregation, Understand analytical workflows including feature analysis, and data modeling work in a Big Data context.
Data Science and Big Data together
Data science and Big data when combined together, can bring innumerable benefits. With the knowledge in both these fields, you will be able to bring in a lot of fruitful results in the organization. Also, you will be able to enhance your skill including Identification of potential business use cases, Obtaining, cleaning, and combining disparate data sources to create a coherent picture for analysis, Using statistical methods to explore data and provide critical insight for the business, Leveraging Hadoop streaming and Apache Spark for Data Science pipelines, and Choosing the best machine learning technique.
With all the hard work that these technologies include, the demand for data scientist skills has increased tremendously. According to Glassdoor, the average salary for a Data Scientist is $113,436 per year. According to Glassdoor, a big data specialist earns $62,066 per year. Data Scientists and big data professionals are making money because of the tasks that these fields can handle. Organizations want to hire professionals who can make the right use of data in making decisions and forecasting. They are mentioning the need for certified data science professionals who are skilled enough to handle the important tasks in the organization. This increases the need for data science certifications as certifications are a great way to demonstrate your talent and prove your commitment toward the chosen field. These certifications imply that you are willing to enhance your knowledge further and hold expertise in the field of data science. If you are struggling to find the best certification body, that can help you advance in your career, you ought to look at these certification bodies- Data Science Council of America (DASCA), Stanford University, Hortonworks, Cloudera, and SAS. Don’t forget to choose from these certification institutes that serve as a pathway to victory.