Here is Everything You Need to Know About Big Data Warehouse Manager

Here is Everything You Need to Know About Big Data Warehouse Manager

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The data-driven world is in dire need of big data warehouse managers.

Big Data Warehouse Manager

Average Salary (Per annum): US$157000

Roles and responsibilities: A Data Warehouse Manager will have to manage the everyday tasks and activities of the entire team that is responsible for the design, maintenance, and support of the data. A big data warehouse manager must be capable to look after the front-end systems and also the back-end progressing capabilities. Putting it in a nutshell, he must be able to manage every action in the data warehouse.

Qualifications:

  • Experience with BI tools (MS Dynamics, IBM Cogno, etc.)
  • MS SQL skills (including T-SQL, SSRS, SSAS, and server management)
  • Ability to communicate technical information to non-technical people
  • Logistics
  • Oracle
  • Data integration from multiple different systems

Top Online Courses:

Big data Managing certification (Udacity): This nano degree has been designed with the sole purpose of helping to learn about the techniques to design a data model, build warehouses, automate the processing and handle various scales of information. A student with knowledge of Python and SQL can be an added advantage.

Implementing a Data Warehouse with Microsoft SQL Server (Udemy): This course describes how to implement a data warehouse solution. Students will learn how to create a data warehouse with Microsoft SQL Server 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Big Data Hadoop Certification Training Course: Intellipaat Big Data Hadoop training program helps you master Big Data Hadoop and Spark to get ready for the Cloudera CCA Spark and Hadoop Developer Certification (CCA175) exam as well as master Hadoop Administration with 14 real-time industry-oriented case-study projects. In this Big Data course, you will master MapReduce, Hive, Pig, Sqoop, Oozie, and Flume and work with Amazon EC2 for cluster setup, Spark framework and RDD, Scala, and Spark SQL, Machine Learning using Spark, Spark Streaming, etc.

Top Institutes Offering the Program:

  • Master's in Data and Business Analytics: Butler University
  • Master's in Business Intelligence: Cooper Union
  • MS in Applied Data Analytics: Boston University

Top Recruiters for This Job:

Deloitte: Deloitte is a leading provider of audit and assurance, consultancy, financial advisory and tax services, and etc. This information is stored in the of data and so big data warehouse managers are needed for the company for maintaining the organization's whole data ecosystem, this includes from data sources and databases to data storage solutions.

Capgemini: Capgemini is a consulting, technology services, and digital transformation company with data used for defining the end of the database, and then formulating the organizational data strategy, including standards of data quality, the flow of data within the organization, and security of the data.

Fractal Analytics: has emerged as one of the top analytics service providers in the country.  The company has a global footprint boasting of several Fortune 500 companies from industries like retail, insurance, and technology. It has many branches in all parts of India hiring new positions.

Amazon: It is one of the biggest e-commerce companies around the world and is also among the top data recruiters worldwide. Amazon is a giant of data and to comprehend the intensity of data it requires big data warehouse managers for its core operations from marketing streamlining, logistics, and inventory management to sales expectation and even HR analytics.

Bank of America: It is an American multinational bank that relies on huge amounts of data architects for building complex computer database systems that are accessible, useful, and secure the processes of the bank and its data by understanding the business need and exploring the existing data structure.

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