Can’t-miss sessions for AWS Summit Chicago


AWS Glue is a fully managed extract, transform, and load (ETL) service to prepare and load data for analytics. You can use Glue to generate ETL code in Scala or Python to extract data from the source, transform the data to match the target schema, and load it into the target.

Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. Overly simplistic venn diagram with data scientists and data engineers.

Types of Data Structures

The Crazy Programmer

Data structures are a very important programming concept. They provide us with a means to store, organize and retrieve data in an efficient manner. The data structures are used to make working with our data, easier. There are many data structures which help us with this.

Data 276

Self-serve data platform

Martin Fowler

One of the main concerns of distributing the ownership of data to the domains is the duplicated effort and skills required to operate the data pipelines technology stack and infrastructure in each domain.

Data 247

Top 10 industries for monetizing data: Is yours one of them?

Democratizing data

O'Reilly Media - Data

Tracy Teal explains how to bring people to data and empower them to address their questions. Continue reading Democratizing data

Data 142

Simplifying Big Data Projects with Data Virtualization

Data Virtualization

According to Gartner, 60% of all the big data projects fail and according to Capgemini 70% of the big data projects are not profitable. There can only be one conclusion, big data projects are hard!

Data Structures vs. Objects

I'm Programmer

This article looks at the limited circumstances around the way of data structure Objects vs. OOP objects. Data Structures Consider a data structure describing a person that have a first name , last name , and phone number. Now it has private data and public methods.

Data 52

7 Fundamental Steps to Complete a Data Project


It's hard to know where to start once you’ve decided that yes, you want to dive into the fascinating world of data and AI. Data Visualization Data Preparation Data analysis

Data 112

Data Mapping and GDPR: How Are They Related?

Every business enterprise receives data from an array of diverse data points. The volume of data is growing, and businesses understand the importance of leveraging data and converting them into actionable insights. This is where data mapping takes a precedence.

Data 91

Leverage Your Organization for Best Product Decisions

Speaker: Rene Kolga, Senior Director of Product and Marketing, Nyotron

The ethics of data flow

O'Reilly Media - Data

If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows. Data, even “big data,” doesn’t stay in the same place: it wants to move. We give up our data all the time. Data flows can be very complex.

Data 230

Doing good data science

O'Reilly Media - Data

Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them. The hard thing about being an ethical data scientist isn’t understanding ethics. It’s doing good data science.

Data 210

Data's day of reckoning

O'Reilly Media - Data

Our lives are bathed in data: from recommendations about whom to “follow” or “friend” to data-driven autonomous vehicles. Although we’ve benefited from the use of data in countless ways, it has also created a tension between individual privacy, public good, and corporate profits.

Data 210

Managing Data Across Distributed Data Warehouses


Data integration, like the digital-transformation initiatives it supports, is a journey and not a destination. If your company has existed for a number of years, then you likely have multiple databases, data marts and data warehouses, developed for independent business functions, that now must be integrated to provide the holistic perspective that digitally transformed business processes require. Actian cloud-based data management platforms can help.

Data 40

Build Product Progress with a Strong Data Culture

Speaker: Nima Gardideh, CTO, Pearmill

Data Visualization in R

The Crazy Programmer

There are many libraries in R language that can be used for making graphs and producing statistical data. There are many steps that have to be taken into consideration for doing data analysis through this language. Data Visualization in R.

Data 163

Data orchestration for AI, big data, and cloud

O'Reilly Media - Ideas

Haoyuan Li offers an overview of a data orchestration layer that provides a unified data access and caching layer for single cloud, hybrid, and multicloud deployments. Continue reading Data orchestration for AI, big data, and cloud

The Value of Visual Data in Decision-Making

Instinct has ruled business leaders’ mind for a very long time, but as companies expand their business globally, instinct should give way to data as the best measure to remain competitive. We live in a data-driven world.

Data 98

The data imperative

O'Reilly Media - Data

Ben Sharma shares how the best organizations immunize themselves against the plague of static data and rigid process Continue reading The data imperative

Data 147

Embedded BI and Analytics: Best Practices to Monetize Your Data

Speaker: Azmat Tanauli, Senior Director of Product Strategy at Birst

Redefining Data Protection

Armughan Ahmad - Dell EMC

In a world where digital transformation determines winners and losers, businesses continue to create increasingly larger volumes of data, and by way of doing so, have evolved to the point where every organization is now a technology company. Data Center Data Protection Opinions Dell EMC

Data 106

Differentiating via data science

O'Reilly Media - Data

Eric Colson explains why companies must now think very differently about the role and placement of data science in organizations. Continue reading Differentiating via data science

Data 168

The Importance of Small data vs Big Data for Healthcare


While all these channels spit out data, leading to what is popularly known as `big data’, there is another quiet and continuous flow of data from individuals or in this case patients, called `small data’. The healthcare sector is fragmented, complex, and hyper local.

Top 7 Free Resources for Data Scientists


Data Scientists are a passionate and curious bunch, who explore the ecosystem to learn new technologies and best practices but you've only got part of the picture if you don't have all the information necessary to understand new industries and technologies.

Your Post-Launch Toolkit for Understanding Your Users

Speaker: Brittney Gwynn, former Director of Product, Simple Health

Data: the New Currency That Accelerates Business

The amount of data created every day is staggering: 2.5 Cisco Systems estimates that by the end of 2019, IoT will generate more than 500 zettabytes of data per […]. The post Data: the New Currency That Accelerates Business appeared first on

Data 79

Why Data Visualization and Dashboards Matter


Data teams spend a majority of their time cleaning and wrangling data in order to extract valuable business insights. The numbers should speak for themselves, so oftentimes data visualization and dashboarding is an afterthought at best or a distraction at worst.

Data 66

Making data science useful

O'Reilly Media - Ideas

Cassie Kozyrkov explains how organizations can extract more value from their data. Continue reading Making data science useful

Data 86

Data architecture vs backend architecture

Erik Bernhardsson

A modern tech stack typically involves at least a frontend and backend but relatively quickly also grows to include a data platform. This typically grows out of the need for ad-hoc analysis and reporting but possibly evolves into a whole oil refinery of cronjobs, dashboards, bulk data copying, and much more. What generally pushes things into the data platform is (generally) that a number of things are. Why bother with a data platform? The data side: the wild west.

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

3 Steps to Building Data Science Models

Have you ever considered supplementing your development skills with some data science? Pick Your Data Game Your first step in learning data science is to find a dataset that fits your […]. The post 3 Steps to Building Data Science Models appeared first on

Data 112

How Python Can Help Data Science Professionals

The Crazy Programmer

The future of the world is Data science, and with the passage of time, it is revolutionizing the way things worked out in the industries. Traditionally the data were mostly structured. But today most of the data are becoming unstructured or semi-structured.

Data 151

The evolution of data science, data engineering, and AI

O'Reilly Media - Data

The O’Reilly Data Show Podcast: A special episode to mark the 100th episode. This episode of the Data Show marks our 100th episode. Continue reading The evolution of data science, data engineering, and AI

Data engineering: A quick and simple definition

O'Reilly Media - Data

Get a basic overview of data engineering and then go deeper with recommended resources. As the the data space has matured, data engineering has emerged as a separate and related role that works in concert with data scientists.

Build Delightful Products with Customer Validation

Speaker: John Little, Head of Product Marketing, Centercode