Insight

AUGUST 16, 2019

The industry demand for Data Engineers is constantly on the rise, and with it more and more software engineers and recent graduates try to enter the field. The biggest hurdle for newcomers lies in understanding the Data Engineering landscape and getting hands-on experience with relevant frameworks. Want to Become a Data Engineer?

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

The Data Visualisation Catalogue

FEBRUARY 2, 2024

Essentially, this is a visual enhancement to a graph, which offers more detail and context to data changing over time. Bollinger Bands are a technical analysis tool that visually represents price volatility by displaying standard deviation levels above and below a simple moving average.

Snapshot 89

Snapshot Visualization Marketing Reporting 89

DataKitchen

JUNE 12, 2023

Why the Data Journey Manifesto? We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Data Lake Dashboards Data Science 130

datapine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. Wondering which data science book to read?

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

KDnuggets

JULY 12, 2023

In a data science project, you typically have the following management tools: Waterfall, Agile, and Hybrid Methodology. In this blog, in particular, we will focus on Agile.

Data Science 67

Data Science Management 67

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

DataKitchen

AUGUST 9, 2021

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. We’ve talked about data mesh in organizational terms (see our first post, “ What is a Data Mesh? ”) and how team structure supports agility. Source: Thoughtworks.

Testing 246

Testing Data Lake Metadata Publishing 246

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Data scientists are likely to use a variety of different tools to move through their processes.

Dashboards 89

Dashboards Visualization Machine Learning Data Science 89

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

Cloudera

OCTOBER 31, 2023

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. They released a blog this year with the results from their annual data mining, it includes the top 3 candies purchased for each state and the quantity purchased in pounds.

Data mining 78

Data mining Machine Learning Data Science Sales 78

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

IBM Big Data Hub

FEBRUARY 13, 2024

Tools such as Midjourney and ChatGPT are gaining attention for their capabilities in generating realistic images, video and sophisticated, human-like text, extending the limits of AI’s creative potential. Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types.

Enterprise 122

Enterprise Modeling Testing Data-driven 122

Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. Ways that Data-Savvy People Can Make Money with Side Hustles This Year. It uses complex data analytics features.

Data mining 133

Data mining Big Data Data-driven Data Science 133

Dataiku

OCTOBER 28, 2021

Developing data science workflows can quickly become complex for data scientists and data engineers because of the variety of data sources, processing tools, and the growing number of tasks to be executed.

Data Science 59

Data Science Marketing 59

IBM Big Data Hub

NOVEMBER 29, 2023

With over 200 trains and a multitude of sensors, Downer has accumulated a vast amount of data. Fine-tuning data insights with enhanced collaboration and expertise Downer continuously works to enhance operational efficiency, minimizing maintenance costs and impacts to transportation schedules.

Predictive Modeling 68

Predictive Modeling Data-driven Modeling Forecasting 68

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Smarten

JANUARY 30, 2024

Self-Serve Data Preparation Transforms Business Users to Citizen Data Scientists! Data Scientists spend a lot of time gathering and preparing data for analysis, and that is time they could spend more productively performing tasks that add value and strategic direction. It’s simple.

Analytics 67

Analytics Data Quality Visualization Metadata 67

Cloudera

JANUARY 30, 2024

With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. With AI, it can even prescribe the appropriate action that needs to be taken and when.

Manufacturing 78

Manufacturing Contextual Data IoT Digital Transformation 78

Cloudera

JUNE 26, 2023

Over time, using the wrong tool for the job can wreak havoc on environmental health. Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. So which open source pipeline tool is better, NiFi or Airflow?

Testing 76

Testing Data Processing Visualization Data Science 76

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. We didn’t use the data from these respondents; in practice, discarding this data had no effect on the results.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

Data Science 101

JANUARY 22, 2020

Microsoft has updated the Data Science Certification exam. It should now match the current focus and tools on Azure. Those blog posts were for the old exam which focused on the legacy Azure Machine Learning Studio interface and general data science knowledge. DP 100 Updated! Offical, DP 100 Updated.

Data Science 115

Data Science Machine Learning Modeling Optimization 115

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. So how do you find your dark data? Tools for moving forward.

IT 133

IT Metadata Data-driven Data Governance 133

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

Cloudera

OCTOBER 11, 2022

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. It’s because of data. . Data science needs analytics.

Snapshot 90

Snapshot Data Science Digital Transformation Metadata 90

CIO Business Intelligence

MAY 6, 2022

Google Cloud Platform (GCP) is set to release two new solutions targeted at the manufacturing sector and aiming to ease data engineering and analytics tasks, unifying data from diverse machine assets to offer business insights to factory managers. Edge-cloud connection helps data extraction.

Manufacturing 138

Manufacturing Analytics Machine Learning IoT 138

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

CIO Business Intelligence

MARCH 3, 2024

Quocirca acknowledged many instances of data loss through unsecured printing were simply the result of printed output falling into the wrong hands. All data that appears in printed output passes through the printer in digital format with the potential for compromise. uniFLOW is one such tool offered by Canon.

IT 100

IT Measurement Risk Testing 100

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Enterprise 99

Enterprise Data Lake Data Collection Data-driven 99

Cloudera

OCTOBER 26, 2021

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. They released a blog this year with the results from their annual data mining, it includes the top 3 candies purchased for each state and the quantity purchased in pounds.

Data mining 102

Data mining Machine Learning Data Science Sales 102

Domino Data Lab

AUGUST 6, 2021

This includes: Model lineage, from data acquisition to model building Model versions in production, as they are updated based on new data Model health in production with model monitoring principles Model usage and basic functionality in production Model costs. First is the data the model is using. How Model Governance Works.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

Cloudera

APRIL 6, 2022

This blog post was written by Elizabeth Howell, Ph.D At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. But first it must pass a rigorous, months-long commissioning period to make sure that the data will get back to Earth properly.

Big Data 98

Big Data Machine Learning Insurance Data Processing 98

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

Cloudera

MARCH 26, 2024

Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. ” said Sanjeev Mohan, Principal, SanjMo & Former Gartner Research VP, Data & Analytics.

Cost-Benefit 79

Cost-Benefit Machine Learning Enterprise Modeling 79

Cloudera

JULY 27, 2021

These fleshed-out web applications are representative end products of data science work. Ines Montani of Explosion wrote How front-end development can improve data science in 2016, and, five years later, those words still ring true. This is fortunate, because few data scientists are web developers on the side.

Data Science 113

Data Science Enterprise Experimentation Machine Learning 113

CIO Business Intelligence

SEPTEMBER 1, 2023

More usefully for enterprises, he also helped develop Dynamics 365 AI for Market Insights, a feature for Microsoft’s ERP and CRM platform that scans search data to provide enterprises with information about emerging trends in social interest and sentiment around their brands. The company is hiring engineers in Berlin and Shanghai.

IT 102

IT Reporting Forecasting Data Quality 102