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.

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!

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.

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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

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How King Crushes New Product Development using Data-Driven Insights

Speaker: Ian Thompson, Head of Business Intelligence at King, and Zara Wells, Strategic Customer Success Manager at Looker

Product Managers looking to leverage data to make informed product design decisions can learn a lot from renowned gaming company King, maker of Candy Crush and many other games - even if their product has seemingly no overlap with games. Don't miss King’s data expert (dare we say king?)

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.

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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.

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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.

Spot Your Specialist: Data Scientist, Data Manager or Data Analyst?


Lately, it's all about data, and it makes sense. quintillion bytes of data created every day and an estimated 163 zettabytes of digital data to be generated by 2025 , it's no wonder companies are rushing to make the most out of the information their users generate daily.

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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

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What Users Want: How and Why to Build Knowledge into Your Product

Speaker: Nils Davis, Principal, NPD Associates

Usage data allows PMs, the product team, and the whole organization to make better decisions. But what if you don't have that data - such as before you have users? Or, what if the right decision seems to fly in the face of the data you have?

Encrypted data

I'm Programmer

The post Encrypted data appeared first on I'm Programmer. Programming Funny Images Programming Jokes Data Encryption Difference Between Encryption and Decryption Encrypted data encryption and decryption encryption and decryption algorithm

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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.

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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

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Data Encryption Standard (DES) Algorithm

The Crazy Programmer

Data Encryption Standard is a symmetric-key algorithm for the encrypting the data. Here is the block diagram of Data Encryption Standard. We already have the data that in each round how many bits circularly we have to shift. You can see this data in shifts array in code.

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Products for Product People: Best Practices in Analytics

Speaker: Andrew Wynn, Senior Product Manager, Looker

As a product manager, you know how helpful custom tailored data solutions can be to doing your job well. But proper data analytics solutions take work to deliver - it's not as simple as just building a dashboard. Who builds products for the product people?

Data Storage

I'm Programmer

The post Data Storage appeared first on I'm Programmer. Programming Funny Images Programming Jokes data storage SQL Data StorageSQL Humor. 1 of 5. SQL Clause SQL Clause. So true! So true! SQL vs NoSQL Database - Most Popular Databases in the world. link] ? link] ?.

Data protection and innovation

O'Reilly Media - Data

Continue reading Data protection and innovation Eva Kaili outlines the fundamentals of GDPR and applications of blockchain.

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.

Embedded Analytics, Everywhere

Speaker: Dean Yao, Director of Marketing at Jinfonet

Empower users with better data presentation and exploration for deeper insights into their data. What's the next big trend in analytics software and applications? You've probably used it without even knowing: embedded reporting and analytics.

Types of Queues in Data Structure

The Crazy Programmer

Queue is an important structure for storing and retrieving data and hence is used extensively among all the data structures. Types of Queues in Data Structure. Priority queue makes data retrieval possible only through a pre determined priority number assigned to the data items.

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The future of data warehousing

O'Reilly Media - Data

Executives from Cloudera and PNC Bank look at the challenges posed by data-hungry organizations. Continue reading The future of data warehousing

No, Data Is NOT The New Oil


In our many travels, conferences, speaking engagements, and other interactions with customers, technology vendors, press and others, we seem to often hear the same refrain: “Data is the new oil” as if that’s supposed to mean something profound. Artificial Intelligence Big Data and Analytics News ai ai-first artificial intelligence Cognilytica data dataset machine learning structured Data Unstructured Data

Data Privacy and Compliance at Nonprofit Organizations


IT Security Data ManagementI was lucky enough to be in the room at the European Parliament in October 2018 when Apple CEO Tim Cook made an impassioned plea for a federal privacy law in the USA. It was something I thought I would not hear from a Silicon Valley CEO in my lifetime.

Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management.

A Warehouse in a Lake, Data Virtually

Data Virtualization

Fresh from her success in supplying real-time transaction data to the call center using the Denodo Platform, Alice Well, recently appointed CIO of Advanced Banking Corporation (ABC), hears the three familiar, demanding raps on her office door.

Epistemology of Data Virtualization

Data Virtualization

Data are the eyes with which we look at reality. The post Epistemology of Data Virtualization appeared first on Data Virtualization and Modern Data Management. Ideas agile access to data analytics BI Analytics big data Big Data Lakes data abstraction layer data access Data Agility Data Virtualization performance

Learning with Limited Labeled Data


These technical advances are unprecedented, but they hinge on the availability of vast amounts of data. For a form of machine learning known as supervised learning, having data itself is not sufficient. Supervised machine learning, while powerful, needs data in a form that can serve as examples for what machines should learn. These examples often manifest themselves in the form of labeled data. A machine learning model is then built using this small subset of data.

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Open Data Science and Machine Learning for Business with Cloudera Data Science Workbench on HDP


It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —.

Build Actionable Dashboards to Drive Your Business

Speaker: Jim O'Leary, VP of Product Management, and Brian Elmi, Director of Product Management, NTENT

When your operations dashboard is well-aligned with your business's goals and access to data is decentralized, that empowers teams at all levels of the organization to make decisions that drive the business. How to democratize data so that all teams in an organization can benefit from it.

Machine learning on encrypted data

O'Reilly Media - Ideas

The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security. In a recent talk , I described the importance of data, various methods for estimating the value of data, and emerging tools for incentivizing data sharing across organizations.

4 Data Security Mistakes Most Businesses Make

The Crazy Programmer

For years, companies all over the world have used customer data to make important decisions about the direction they should take. The main thing you need to be concerned with when collecting and storing data is keeping it out of the hands of cyber-criminals.

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Breaking Down Data Silos in Your Organization

Today’s organizations can finally use advanced technologies to unlock the true value of all of their data. The post Breaking Down Data Silos in Your Organization appeared first on Blogs Enterprise DevOps communication data data silos

Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools in data. In this post I share slides and notes from a keynote I gave at the Strata Data Conference in London at the end of May. Economic value of data.

Project Analytics: Visibility that Aids Risk Management

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

Just as you use data from the customer to inform your solutions, transparency during the building of those solutions is critical for making better risk mitigation decisions. Using historic data to more effectively schedule product commitments in the future.

Building a stronger data ecosystem

O'Reilly Media - Data

Ben Lorica looks at the problems we’re facing as we collect and store data, particularly when our machine learning models require huge amounts of labeled data. Continue reading Building a stronger data ecosystem

4 Tips to Help Keep Student Data Safe


That’s why developing a plan to keep data security tight is essential to complying with privacy laws and. Read more » The post 4 Tips to Help Keep Student Data Safe appeared first on StorageCraft Technology Corporation.

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Case studies in data ethics

O'Reilly Media - Data

These studies provide a foundation for discussing ethical issues so we can better integrate data ethics in real life. To help us think seriously about data ethics, we need case studies that we can discuss, argue about, and come to terms with as we engage with the real world.

Autodesk Transforms, by Leveraging Data Virtualization

Data Virtualization

The post Autodesk Transforms, by Leveraging Data Virtualization appeared first on Data Virtualization and Modern Data Management. Change is sometimes difficult to embrace, especially when it involves downtime.

How Product Managers Can Learn to Love Reporting

Speaker: Eric Feinstein, Professional Services Manager, Looker

He will discuss working through personas, data types, reporting needs analysis and ultimately how this comes together to form a roadmap for reporting functionality and interface.