Tue.May 03, 2022

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Understanding Key Concepts on Data Warehouses

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Data Warehouses During one of the technical webinars, it was highlighted where the transactional database was rendered no-operational bringing day to day operations to a standstill. The cause of the crash was attributed to the use of large-scale queries on the […].

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6 key challenges of complex cloud environments — and how to manage them

CIO Business Intelligence

The dramatic shift to cloud services over the past few years has given organizations unprecedented flexibility and scalability, enabling them to forge ahead with digital transformation efforts. For many, it has also led to intermingled, complex strategies that threaten to take away some of the luster of the cloud. Enterprises don’t typically deploy one cloud service and call it a day.

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5 Python Libraries for Time-Series Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Time-Series A Time-Series is a sequence of data points collected at different timestamps. These are essentially successive measurements collected from the same data source at the same time interval. Further, we can use these chronologically gathered readings to monitor trends and […].

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Software Developer vs Software Engineer

KDnuggets

The terms developer and engineer are used synonymously, making it difficult to understand the difference between the two in the midst of a conversation.

Software 112
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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An End-to-end Guide on ML Pipeline Using Apache Spark in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a machine learning pipeline using spark. We will create a Car price predictor using apache spark. When we want to implement a machine learning model that works on distributed data systems, the spark is the best method […]. The post An End-to-end Guide on ML Pipeline Using Apache Spark in Python appeared first on Analytics Vidhya.

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Taking Their Time Series Talents to South Beach: How McLaren Is Gaining an Edge with Accurate Weather Data

DataRobot Blog

If you’ve ever driven through Texas or Florida during a rare Southern snowstorm, a few things quickly become cartoonishly obvious—your tyres matter, your driving matters, and your ability to navigate changing weather conditions really matters. As the Formula 1 Miami Grand Prix culminates on May 8, 2022, it’s not likely to be snowing. The forecast calls for sunny skies and temperatures between 68?

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Places for People builds cross-functional IT for cloud transformation

CIO Business Intelligence

Places for People technology officer Dean Garvey-North joined the property management firm in 2020 to lead infrastructure and technology teams. It was a daunting challenge, not least with technology leadership being restructured in the wake of CDIO Norma Dove-Edwin’s departure in March, but also owing to complex business operating across five departments and more than 20 companies.

IT 98
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Guidelines on Using Data Analytics for Finding the Right Price Points

Smart Data Collective

Data analytics technology is helping businesses boost profitability in many ways. A few years ago, Walter Baker and his colleagues at McKinsey reported that one of the biggest advantages of big data in business is that it can help with pricing decisions. “Without uncovering and acting on the opportunities big data presents, many companies are leaving millions of dollars of profit on the table.

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Constructing a smarter building industry in Australia

CIO Business Intelligence

Digital maturity in the Australian construction industry is fragmented according to the Australian Broadband Advisory Council’s Construction Expert Working Group scoping study , which looked into opportunities and barriers for the take up of tech in the construction sector. The study also found that the take up of digital technologies varies significantly across industry segments, and between tier one and tier two firms and small business.

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5 Key Components of a Data Sharing Platform

KDnuggets

Read this article for an overview of what the components of a data-sharing platform are.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Dow CDO Chris Bruman: We needed a new approach to data quality

CIO Business Intelligence

Last year, Dow took a bold step to make better use of its data. With a goal of eliminating isolated islands of data and making better use of business intelligence as an enterprise asset, the company launched an internal organization that seamlessly integrated IT and the company’s global business units under one umbrella. The structure of this organization, called Business Data Services, resembles a bicycle wheel, with IT as the hub and spokes reaching into Dow’s business units, geographies, and

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Tales & Tips from the Trenches: Edge Computing Challenges and Strategies

TDAN

This column focuses on challenges of edge computing and explore strategy considerations for implementing and utilizing edge computing in the organization. Edge Computing Challenges By shifting computing power and data storage closer to those devices on the network, edge computing has managed to secure benefits such as: faster response times, improved reliability, and superior cost […].

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Broadcom Software Shows Why the Move to the Edge is Accelerating in 2022

CIO Business Intelligence

By Andy Nallappan, Chief Technology Officer and Head of Software Business Operations, Broadcom Software. In December 2021, Broadcom Software published our blog: Predictions for 2022. We will now explore each of these predictions in more depth with this blog series. For this blog our topic is edge computing. The future has a way of quickly becoming the present. .

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Autonomous Data Trust Score for Data Catalogs

TDAN

With the accelerating adoption of Data Catalogs as the core component for enterprise data governance, the need to provide information about the health and usability of data assets has become critical. With the availability of standardized data trust scores within the data catalog, users can easily determine the usability and relevancy of the dataset in […].

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Mind the (Sustainability) Gap

Teradata

Less than 20% of retailers on track to meet sustainability pledges. Granular, integrated data is the key to move from reporting to action. Read about our framework for profitable sustainability.

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The Road to Secure Self-Service Analytics

TDAN

The road to creating business value through a well-oiled data management strategy can be long and challenging. A successful data management strategy is one that generates value rapidly and unlocks new data-driven insights. This is done by the mining of raw data into analytics– self-service analytics– that can be shared and used by various teams […].

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Dataiku, Regulation, Standards: Where Do We Fit In?

Dataiku

AI regulation has been and will continue to be a hot topic. It matters for people, for places, for businesses, and for governments.

IT 59
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#Clouderalife Volunteer Spotlight: Lynne Montalbo!

Cloudera

This month we are proud to spotlight Lynne Montalbo, senior business systems analyst from Santa Clara, California, who volunteers as a professional development mentor with Braven. Braven’s mission is to empower promising, underrepresented young people—first-generation college students, students from low-income backgrounds, and students of color—with the skills, confidence, experiences, and networks necessary to transition from college to strong first jobs, which lead to meaningful careers and li

IT 76
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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Alation and Tableau: From Data Rich to Data Driven

Alation

In a couple of weeks (May 17–19) the Alation team joins one of our favorite data events of the year: Tableau Conference 2022. The energy that the #DataFam brings to the world of data is unmatched — and dedicated to solving one of the biggest problems we all have with data today: Getting data to everyone and empowering them to become data driven. Yet there’s still an alarming gap between finding data… and using it.

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Security, Politics & Tech: How Firms Are Working with the Government, Not Against It

CIO Business Intelligence

Due to the rise of “big tech”, the federal government has gotten more involved in the tech sector in recent years. Due to this shift, top tech companies are increasingly partnering with the government to not only further their own success but also the success of the United States. By working together with the federal government, tech companies can help improve the U.S. government’s technology and security systems while securing additional revenue through government contracting opportunities.

IT 98
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5 Things to Consider When Selecting Equity Management Software

Jet Global

You simply cannot afford to get equity management wrong. Investors and employees expect precision. You must create accurate tax records. As your company scales, compliance often grows more complex. SEC, FASB, and IFRS regulatory requirements frequently introduce complexities that make equity management especially challenging. Many companies are tempted to simply go with a broker solution.