Analytics Vidhya
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be looking for a very common yet very important topic i.e. SQL also pronounced as Ess-cue-ell. So this time I’ll be answering some of the factual questions about SQL which every beginner needs to know before getting […]. The post Introduction to SQL for Data Engineering appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 24, 2022
It is no secret that cyberattacks are escalating in frequency and severity each year. They have led to a growing number of data breaches, which are creating major concerns for people all over the world. IBM reports that the average data breach cost over $4.2 million in 2021 , which is a figure that grows every year. Malicious actors are becoming increasingly crafty at intercepting communication and penetrating organizations to steal valuable data.
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David Menninger's Analyst Perspectives
APRIL 28, 2022
Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving them a competitive advantage in the market. Our research shows that data virtualization is popular in the big data world.
KDnuggets
APRIL 27, 2022
In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Analytics Vidhya
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time. Instead, along with the computer vision techniques, deep learning skills will also be required, i.e. We will use the deep learning […]. The post Face detection using the Caffe model appeared first on Analytics Vidhya.
CIO Business Intelligence
APRIL 29, 2022
As someone who is passionate about the transformative power of technology, it is fascinating to see intelligent computing – in all its various guises – bridge the schism between fantasy and reality. Organisations the world over are in the process of establishing where and how these advancements can add value and edge them closer to their goals. The excitement is palpable.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
APRIL 25, 2022
Metadata is the data providing context about the data, more than what you see in the rows and columns. By managing your metadata, you're effectively creating an encyclopedia of your data assets.
Analytics Vidhya
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to talk about data streaming with apache spark in Python with codes. We will also talk about how to persist our streaming data into MongoDB.We have already covered the basics of Pyspark in the last article […]. The post Spark Data Streaming with MongoDB appeared first on Analytics Vidhya.
CIO Business Intelligence
APRIL 25, 2022
An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. Data engineers and data architects spend more time dealing with code, databases, and complex queries, whereas data analysts and data scientists typical
Smart Data Collective
APRIL 25, 2022
Data science is a broad field that can help organizations glean significant insights into various aspects of their operations. Whether it’s uncovering truths about customer buying habits or discovering new ways to make teams collaborate more efficiently, data science can be an extremely useful tool to all who take advantage of it. This is why the demand for data scientists is growing so rapidly.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
KDnuggets
APRIL 27, 2022
Solving the Python coding interview questions is the best way to get ready for an interview. That’s why we’ll lead you through 15 examples and five concepts these questions cover.
Analytics Vidhya
APRIL 24, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to introduce you to Docker tutorial and will further learn the basic commands as well from installing docker, Pulling images from the hub to running Linux machines in docker. Let’s first understand the challenges we face […]. The post Docker Tutorial for Beginners Part-I appeared first on Analytics Vidhya.
CIO Business Intelligence
APRIL 29, 2022
The initial stages of a hybrid cloud transformation bring questions and uncertainty to the organization, and a lot of data to make sense of. In simple terms, this early churn happens in the “what to do,” the “how to do,” and the “do it” stages. The first two are usually addressed with assessments and roadmaps, either internally or externally generated, and typically result in a considerable number of recommendations and initiatives that need to be deciphered.
Smart Data Collective
APRIL 25, 2022
Digital transformation has been a goal for many organizations in recent years, and the shift to remote and hybrid working arrangements has only made this desire to future-proof their business more immediate. However, this transition isn’t easy and wouldn’t be possible without major advances in big data technology. Digital adoption has been defined as the reinvention of a company through the optimization of legacy systems and utilization of new technologies.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
KDnuggets
APRIL 25, 2022
Create and collaborate on data science projects or train machine learning models using free cloud Jupyter notebook platforms. You get a hassle-free IDE experience and free compute resources.
Analytics Vidhya
APRIL 24, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article let’s discuss one among the very popular and handy web-scraping tools Octoparse and its key features and how to use it for our data-driven solutions. Hope you all are familiar with “WEB SCRAPING” techniques and the captured data has […]. The post Exploring Octoparse Web Scraping tool for Data Preparations appeared first on Analytics Vidhya.
CIO Business Intelligence
APRIL 25, 2022
Enterprises are betting big on machine learning (ML). According to IDC , 85% of the world’s largest organizations will be using artificial intelligence (AI) — including machine learning (ML), natural language processing (NLP) and pattern recognition — by 2026. And a survey conducted by ESG found, “62% of organizations plan to increase their year-over-year spend on AI, including investments in people, process, and technology.”.
DataRobot Blog
APRIL 29, 2022
With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. When business decisions are made based on bad models, the consequences can be severe.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
KDnuggets
APRIL 29, 2022
Top-rated data science tracks consist of multiple project-based courses covering all aspects of data. It includes an introduction to Python/R, data ingestion & manipulation, data visualization, machine learning, and reporting.
Analytics Vidhya
APRIL 24, 2022
This article was published as a part of the Data Science Blogathon. Introduction One of the most widely used applications in Deep Learning is Audio classification, in which the model learns to classify sounds based on audio features. When given the input, it will predict the label for that audio feature. These can be used […]. The post Guide to Audio Classification Using Deep learning appeared first on Analytics Vidhya.
CIO Business Intelligence
APRIL 29, 2022
Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organizati
Smart Data Collective
APRIL 23, 2022
In recent years, organized sports have been steadily changed by big data. The news programs and sports updates shown on television have been made to be more entertaining, partly because of research conducted and the information analyzed. This information is usually gained from viewers and the wider public. More sports companies are likely to invest in big data in the future.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
Cloudera
APRIL 27, 2022
This week I participated in an informative event that Cloudera hosted with TechCrunch: Data and the Culture Transformation. The event was moderated by tech industry analyst Maribel Lopez, and we were joined by Shirley Collie, chief health analytics actuary at Discovery Health in South Africa. The conversations focused on how company data cultures are rapidly evolving and delivering new levels of value to businesses with the emergence of data ecosystems.
Analytics Vidhya
APRIL 29, 2022
This article was published as a part of the Data Science Blogathon. Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. The data-driven workflow in ADF orchestrates and automates the data movement and data transformation. In this article, I’ll show […].
CIO Business Intelligence
APRIL 29, 2022
Global spending on cloud infrastructure services increased by 34% to a total of nearly $56 billion in the first quarter of 2022, driven by the need for resiliency and flexibility as businesses face supply chain problems and geopolitical upheaval, according to a report released Friday by analyst firm Canalys. Migrating workloads to the cloud, investing in data storage, and cloud-native application development have all been particular drivers of SMB (small and medium business) investment in the cl
Smart Data Collective
APRIL 24, 2022
AI is changing the future of the manufacturing sector. According to one survey, 76% of manufacturing companies have either deployed AI or are in the process of developing an AI system to use in the near future. More and more the interaction between humans and machines becomes a hot topic in the manufacturing world. Leading manufacturers use AI to integrate automation in their production processes wherever possible, in order to handle repetitive tasks in a more efficient manner.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Cloudera
APRIL 27, 2022
Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness
Analytics Vidhya
APRIL 25, 2022
This article was published as a part of the Data Science Blogathon. Introduction Amazon’s Redshift Database is a cloud-based large data warehousing solution. Companies may store petabytes of data in easy-to-access “clusters” that can be searched in parallel using the platform’s storage system. The datasets range in size from a few 100 megabytes to a petabyte. […].
CIO Business Intelligence
APRIL 28, 2022
Salesforce is expanding its process automation tool Flow to enable a wider range of workflows and process automations to be built and triggered from across its large family of enterprise applications. Announced in 2021, Flow is a low-code tool which initially consolidated various process automation and workflow tools for Salesforce users to build workflows between the various parts of the Salesforce suite.
Octopai
APRIL 23, 2022
Answer: yesterday. If, however, your organization lacks the funds for a time machine (along with the funds for unlimited data intelligence solutions), here are our top four picks for the situations in which you should prioritize initiating a data lineage process. You’re planning a data system migration. Are you leaving behind Oracle for Azure Data Factory, SQL Server for Snowflake or SSRS for Power BI?
Speaker: Jesse Simms, VP at Giant Partners
This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.
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