Fri.Oct 07, 2022

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Three R Libraries for Automated EDA

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the increasing use of technology, data accumulation is faster than ever due to connected smart devices. These devices continuously collect and transmit data that can be processed, transformed, and stored for later use. This collected data, known as big data, holds valuable […].

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The ABCs of NLP, From A to Z

KDnuggets

There is no shortage of tools today that can help you through the steps of natural language processing, but if you want to get a handle on the basics this is a good place to start. Read about the ABCs of NLP, all the way from A to Z.

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Sign up for the Upcoming DataHour Sessions Now!

Analytics Vidhya

Introduction Data is the default production of every industry, and the power of this data was not realized until the emergence of the Data Science field. Data science focuses on extracting insights from the data for problem-solving and future prediction. Since this career path is new and technical so expert guidance and proper information is […].

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How to Get Up and Running with SQL – A List of Free Learning Resources

KDnuggets

We have compiled a list of the top free resources to help new data practitioners learn SQL. These include free online courses and resources to get the most out of your SQL skills.

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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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3 Key Considerations for CEOs and Their CIOs for Building an Agile, Modern Network

CIO Business Intelligence

By: Lars Koelendorf, EMEA Vice President, Solutions & Enablement at Aruba, a Hewlett Packard Enterprise company. Can an enterprise CEO today be successful without having a strong relationship with the CIO and the corporate network? The short answer is no. Technology today powers and enables so much of how businesses function. Given the pace of digitization, the corporate network, led by the CIO, is increasingly becoming a critical business decision center for the CEO within the broader conte

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Debunking the Myth of the Citizen Data Scientist

KDnuggets

While there are some benefits to having citizen data scientists, they are no silver bullet – and they certainly aren’t a replacement for true data scientists.

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Hyper-scale time series forecasting done right

Teradata

There are various approaches to doing time-series forecasting. Amongst all the approaches, the right way is using an in-database approach. Read more to find out why.

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Game Changer: Modernize IT Procurement with Data-driven Insights

CIO Business Intelligence

Every organization pursuing digital transformation needs to optimize IT from edge to cloud to move faster and speed time to innovation. But the devil’s in the details. Each proposed IT infrastructure purchase presents decision-makers with difficult questions. What’s the right infrastructure configuration to meet our service level agreements (SLAs)? Where should we modernize — on-premises or in the cloud?

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How AutoML Accelerates Model Creation

Dataiku

This is a guest article by Dairenkon Majime. Majime is a data scientist intern, a data facilitator and mentor for bootcamps at Tera, and a dedicated writer who is always looking for new challenges. He writes about MLOps, data science, and machine learning. Automated machine learning, or AutoML, refers to tools and services that abstract the expertise required for machine learning (ML) by automating the operations necessary to make ML happen.

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Skills and traits of elite product managers

CIO Business Intelligence

The days when IT was left to its own (literal) devices, content to work on the tech side of various projects, are on their way out. IT organizations are shifting to product-based methodologies , in which cross-functional teams made up of both tech and business pros focus on a single product or service offering. This organizational shift has given new importance to the product manager , who serves as the leader for such a team and acts as the point person throughout the product’s lifecycle.

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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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Cloudera’s Open Data Lakehouse Supercharged with dbt Core(tm)

Cloudera

Introduction. dbt allows data teams to produce trusted data sets for reporting, ML modeling, and operational workflows using SQL, with a simple workflow that follows software engineering best practices like modularity, portability, and continuous integration/continuous development (CI/CD). We’re excited to announce the general availability of the open source adapters for dbt for all the engines in CDP — Apache Hive , Apache Impala , and Apache Spark, with added support for Apache Livy and Cloude

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9 business intelligence certifications to advance your BI career

CIO Business Intelligence

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. BI encompasses numerous roles. BI analysts, with an average salary of $71,493 according to PayScale , provide application analysis and data modeling design for centralized data warehouses and extract data from databases and data warehouses for r