Category Archive

How-to

Data visualization is the principle of taking data values and converting them into a graphic. Most people see, or prefer to see, data represented as a graphic. It is the common language that captures how data…

Data Analysts: Different Skills, Similar Process

The week of a Data Analyst can vary widely depending on the size of the firm and their unique combination of skills.  Despite their differences, every analyst will tell you they spend too much time “prepping”…

Creating an Agile Closed Loop Data Science Workflow with Datameer and Amazon SageMaker

Introduction If you’re going to do machine learning work right, you’re going to need well-honed data sets to build your models on.  It is not just about cleaning up the data.  It is also about discovering…

In this blog, we cover five best practices for system administrators to keep users satisfied when it comes to maintenance updates: schedule, think holistically, review urgency, test changes incrementally and repeat changes into production.

The May 25, 2018 deadline for the General Data Protection Regulation (GDPR) is almost upon us. And the question many in management are asking is: Are we ready?

Five Big Data Use Cases for Retail

The retail industry continues to accelerate rapidly, and with it, the need for businesses to find the best retail use cases for big data. Sales alone are expected to grow by 3.5 percent in 2017, and e-commerce continues to make massive gains with an expected growth of 15 percent this year (Kiplinger, 2017).

Tableau and Hadoop Data Lakes: Three Ways to Get Data Where You Want

Tableau is one of the most popular (if not the most popular) desktop data visualization and discovery tools on the market. And Hadoop-based data lakes are growing dramatically to serve up the massive volumes of data that analysts need to answer pressing new business questions.

Four Ways Telefonica Uses Big Data to Put Customers First

Competing in any market today is incredibly difficult. But competing in the telecommunications market, where there is an incredible degree of industry disruption and digital transformation, can be more difficult than most.

Five Highly Effective Approaches to Governance

It also creates an environment that makes data available to the right people, encourages trust around data and makes it easily discoverable. Good governance is crucial to a data-driven culture, and understanding its potential can be the launchpad for data-driven success and business transformation. But how do you achieve that?

Five Ways to Reduce GDPR’s Impact

In April 2016, the European Commission ratified the General Data Protection Regulation (GDPR), which covers the capture, control and consent to use personal information. The May 25, 2018 deadline looms ahead. Are you ready?

Map Your Big Data Journey: The Five Key Phases

In this article, I’m going to guide you through every step of the big data journey. You’ll know what to expect, where you should be and the benchmarks you should be looking for.

Why Can’t I Get More Value From My Data Lake?

Many have applied the old adage “if I build it, they will come” to their data lake projects. The simple notion of having all that data in one place is appealing, and one would think everyone would want to come drink from the lake.