Soft skills can be almost as important as data engineering skills when you apply for a job. Soft skills can make the difference between stress and efficiency or being unsatisfied with your position and a raise. When data engineers and data scientists earn bachelor’s degrees, they usually take classes in topics like data warehousing, programming languages, machine learning, and data science.

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Gartner recognizes Fivetran as the “vendor of choice” for enterprises looking to modernize their data infrastructure.

With Databox, Achieve moved from a manual process of tracking data to one that allows them to motivate their team, eliminate room for errors, and ultimately make improvements.

Analyzing Return User Behaviour helps you optimize your site for better engagement and more conversions.

Data collections and analysis is critical to ongoing business operations, but maintaining data integrity is an often overlooked problem. Ensuring data integrity is not only a consumer trust issue, but is often also mandated by legal regulations. Without accurate data, business leaders could make decisions that are slightly (or majorly) misguided.

There's been some mystery associated with the Heroku Salesforce connect that links the Salesforce CRM with the Heroku Postgres database service. This connection is an add-on called Heroku Connect that enables multiple processes and transfers with no coding required and simple point and click executions. Heroku Connect offers bi-directional data synchronization while also creating secure data transfers. This connector also allows a user the freedom to customize and streamline their data transfer processes.

“Data acumen” is a powerful new term. I heard it used recently in relation to a historically hard problem for the Department of Defense (DoD). The problem is the speed of data change. David Spirk, DoD’s Chief Data Officer, gave an historic keynote at GovCon Wire’s Data Innovation Forum, which was held in June 2021. He was joined by three key leaders in DoD data: Thomas Sasala (Navy), Eileen Vidrine (Air Force) and David Markowitz (Army).

Organizations may struggle with getting the full value of their data without knowing it. Their data science team uses data warehouses to power business intelligence solutions to create reports, dashboards, and other data visualizations. However, the time it takes for this information to reach teams makes it difficult to use for daily decision-making. Operationalizing data warehouses sends these insights directly into daily operations systems, thereby allowing for immediate access.

My name is Shanmukha Kota and I am a recent graduate from University at Buffalo. I interned with Cloudera last summer and joined Cloudera as a software engineer a couple of weeks ago and this is my first experience with CDP and CDP Operational Database. For a new hire college graduate in the industry with only academic experience with HBase, I can only say it is very simple and easy to set up and work with CDP Operational Database.