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.

Modernizing Data Architectures

Data Virtualization

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

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Holistic Data Management

Data Virtualization

In this era of data-driven companies, there is a lot of talk about data management, but it is my impression that we do not talk about it in a perfectly harmonious way, that we privilege some aspects of the phrase.

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Data Types

DevOps.com

The post Data Types appeared first on DevOps.com. Blogs ROELBOB Build data types deployment humor parody programming satire

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

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. Luckily, building common infrastructure as a platform is a well understood and solved problem; though admittedly the tooling and techniques are not as mature in the data ecosystem.

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Employer data goes AWOL under Covid-19 lockdowns

The Parallax

Covid-19-era data breaches go beyond unemployment insurance fraud, medical-research hacks, and other hot topics. And unfortunately for public organizations and private companies, the data loss — from theft or otherwise — is getting worse.

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Data Champions: Balancing IT and Business Needs

Cloudera

Underlying digital transformation and investment decisions is a precious asset: data. Now more than ever, decision-makers are looking to do more with their data. This is what the Data Champions category at the Data Impact Awards is all about.

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Relevant Data

DevOps.com

The post Relevant Data appeared first on DevOps.com. Blogs ROELBOB

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Connect the Data Lifecycle: The power of data

Cloudera

While cloud is the vehicle, it’s what sits on it that makes it so valuable — data. Regardless of where it is stored, whether it’s data-at-rest or data-in-motion, it’s how it’s linked together that enables business leaders to derive intelligence from data.

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How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

Addressing the data storm with the Enterprise Data Cloud

Cloudera

For some, this may look like a new category at this year’s Data Impact Awards. However, the Enterprise Data Cloud category marks the evolution of what was once the Data Anywhere category. Digital-first companies, for example, saw an influx of new data.

IoT Security: Don’t Sacrifice Data for Usability

CTOvision

Read why Christos Kalantzis says that organizations should not sacrifice data for the usability of the Internet of Things on Security Boulevard: Over the last decade, we’ve seen truly innovative […].

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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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How To Build a Business Data Map

DevOps.com

The need to build a business data map. The post How To Build a Business Data Map appeared first on DevOps.com. Blogs DevOps Practice Enterprise DevOps compliance data data mapping

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How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

A Smart Approach to Logical Data Warehousing, with Azure Synapse and the Denodo Platform

Data Virtualization

Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of. Organizations all over the world are migrating their IT infrastructures and applications to the cloud.

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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.

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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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Fast Provisioning of data through Data Virtualization in the Era of ever-increasing Data Fluidity

Data Virtualization

We are in the midst of a significant transformation in each and every sphere of business. We are witnessing an Industrial 4.0 revolution across the industrial sectors. The way products are getting manufactured is being transformed with automation, robotics, and.

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The Rise of Embedded Self-Service Analytics

Speaker: Chris Von Simson & Nat Venkataraman

Can your users get the data and analytics they need without leaving your application? Watch this webinar with Chris von Simson of Dresner Advisory Services as he shares why user enablement has emerged as the theme in today’s embedded analytics landscape.

Accelerate Cloud Data Integration with Data Virtualization in the Cloud

Data Virtualization

In my last post, I covered some of the latest best practices for enhancing data management capabilities in the cloud. Despite the increasing popularity of cloud services, enterprises continue to struggle with creating and implementing a comprehensive cloud strategy that.

Create a Data-Driven Organization with DataOps

Dzone - DevOps

Data-centric projects are becoming bigger in both size and complexity, and companies increasingly look to analytics to drive growth strategies. Data teams today need to be able to deliver reliable and relevant insights on-demand.

Announcing the 2020 Data Impact Awards Finalists

Cloudera

Announcing the finalists of the Data Impact Awards is always a highlight in our annual Cloudera calendar, and this year is no different. The 2020 entrants have shown incredible data-driven innovation, problem-solving ability and have proven real-world impact. . Data Champions .

How to enable Cloudera Data Visualization in CDW

Cloudera

In our previous blog post we introduced Cloudera Data Visualization in Cloudera Data Warehouse (CDW) available in tech preview, in CDP Public Cloud. You have a Database Catalog with data you want to explore. Launch Cloudera Data Visualization.

Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). So how can a startup harness machine learning for its own set of unique problems and solutions, and does it require a warehouse filled with PhDs to pull it off?

PowerProtect Data Manager – Modern Cloud Data Protection Innovation

Dell EMC

At the core of this transformation is data. Data enables organizations to tailor the digital experience to engage and meet the needs of their customers, partners and employees. It is critical to ensure that data is always protected, secure and available wherever it lives. Cloud Data Protection News data protection Dell EMC VMwareIt has often been said that necessity is the mother of invention. Perhaps she is the mother of digital transformation too.

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How to Reduce the Cost of Data Storage and Management

Storagecraft

Data storage has never been as complex and costly as it is today. Enterprises are feeling the burn, and it’s getting worse thanks to two big factors: The explosion in data creation IDC predicts worldwide data creation will grow to a massive 175 zettabytes (ZB) by 2025.

Time to Think IoT Data, Not Endpoints

CTOvision

Read why Gary Audin says that it is time to realign focus from thinking about the endpoint devices to the Internet of Things data that is produced on IoT Evolution […].

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Data Value at the Edge

Dell EMC

Fueled by an abundance of smart devices and IoT sensors, worldwide data creation has been growing exponentially, driving our customers and partners to innovate. For example, between 2016 and 2018, there was an 878% growth in healthcare and life science data resulting in over 8 petabytes of data managed by providers per annum. Data Analytics Opinions Servers 5G Dell Technologies Edge Internet of Things Modular Infrastructure Rugged

Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Democratizing AI through your organization requires more than just software. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities.

Dell Technologies Advances Storage and Data Protection for VMware Environments

Dell EMC

These solutions will allow organizations to simplify VMware management, automate data protection, and accelerate operational efficiencies. Data Protection News Storage data protection Dell Technologies

New Data Architectures are too Data-Store-Centric

Data Virtualization

Too often the design of new data architectures is based on old principles: they are still very data-store-centric. They consist of many physical data stores in which data is stored repeatedly and redundantly.

Analyzing User Interactions with Data Export

LaunchDarkly

In this blog post, we will walk you through analyzing user interactions using LaunchDarkly Data Export. Data Export provides a real-time export of raw analytics data, including feature flag requests, analytics events, custom events, experimentation events , and more.

Maximizing data privacy: Making sensitive data secure by default

CTOvision

Read Ayal Yogev explain how companies can maximize data security by making sensitive data secure by default on Help Net Security : Consider the case of contact tracing, which has […].

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4 Approaches to Data Analytics for Your Application

Selecting the right solution for your embedded analytics is crucial to the success of your application. But with so many solutions and vendors, how do you make this critical selection? Learn about the different approaches to analytics and the pros and cons for each.