Women in Big Data

APRIL 4, 2025

Women in Big Data and LinkedIn hosted an empowering event The Responsible AI at Scale in LinkedIn HQ in Sunnyvale, CA on March 13 th , 2025, for people passionate about ethics, transparency and shaping the AI technologies of the future. I cant wait for the next Women in Big Data event!

Big Data 52

Big Data Big Data AI AI 52

Smart Data Collective

OCTOBER 19, 2022

A growing number of companies are discovering the benefits of investing in big data technology. Companies around the world spent over $160 billion on big data technology last year and that figure is projected to grow 11% a year for the foreseeable future. Unfortunately, big data technology is not without its challenges.

Big Data 132

Big Data Big Data Database AWS 132

Smart Data Collective

NOVEMBER 24, 2019

Big data is becoming more essential in the arena of employee collaboration. A growing number of teams are finding that big data can be very beneficial when it comes to forging stronger relationships between their participants. There are a number of ways that big data is changing the nature of these relationships.

Big Data 101

Big Data Big Data Predictive Analytics Data Models 101

Smart Data Collective

AUGUST 31, 2020

A prime example is the growing use of big data for stock future trading. Predictive analytics models have proven to be remarkably effective with the stock futures market. One company that uses big data to forecast stock prices has found that its algorithms outperform similar forecasts by 26%.

Big Data 104

Big Data Big Data Algorithm Machine Learning 104

Data Science Blog

NOVEMBER 15, 2023

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Flipboard

JULY 13, 2023

Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital …

Data Warehouse 123

Data Warehouse Data Modeling Data Models Big Data 123

Dataconomy

APRIL 5, 2022

What is data modeling is a question of the day. Consider data modeling as. Databases help run applications and provide almost any information a company might require. But what makes a database valuable and practical? How can you be sure you’re building a database that’ll fulfill all of your requirements?

Data Modeling 103

Data Modeling Data Models Database Big Data 103

Dataversity

FEBRUARY 14, 2024

When looking to extract valuable insights into their business’s performance, C-level executives (CxOs) must navigate the big data blank canvas.

Big Data 59

Big Data Big Data Data Modeling Data Models 59

Dataconomy

MARCH 5, 2025

Data science platforms are innovative software solutions designed to integrate various technologies for machine learning and advanced analytics. They provide an environment that enables teams to collaborate effectively, manage data models, and derive actionable insights from large datasets.

Data Science 91

Data Science Data Scientist Machine Learning Machine Learning 91

Flipboard

JANUARY 10, 2024

Given that there are so many laptops and laptop configurations out there, we've gone out and found our favorites for data science so you don't have to.

Data Science 155

Data Science Data Modeling Data Models Big Data 155

Data Science Dojo

OCTOBER 31, 2024

Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Flipboard

MAY 12, 2023

Data Warehousing 101: A Practical Guide for BeginnersContinue reading on Towards Data Science »

Data Modeling 131

Data Modeling Data Models Database Data Science 131

Smart Data Collective

NOVEMBER 22, 2021

Data analytics technology has touched on virtually every element of our lives. More companies are using big data to address some of their biggest concerns. Data analytics technology is helping more companies get the financing that they need for a variety of purposes. Again, big data is helpful in creating these models.

Analytics 128

Analytics Analytics Big Data Big Data 128

Data Science Dojo

JUNE 7, 2023

Big data and data science in the digital age The digital age has resulted in the generation of enormous amounts of data daily, ranging from social media interactions to online shopping habits. quintillion bytes of data are created. It is estimated that every day, 2.5

Data Science 195

Data Science Data Visualization Data Scientist Machine Learning 195

Flipboard

FEBRUARY 14, 2023

Time-varying entities may contain multiple time-varying and static attributes, making mapping them a particular challenge.

Data Modeling 123

Data Modeling Data Models Database Big Data 123

Women in Big Data

NOVEMBER 27, 2024

Optimized for analytical processing, it uses specialized data models to enhance query performance and is often integrated with business intelligence tools, allowing users to create reports and visualizations that inform organizational strategies.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

Data Science Dojo

JULY 6, 2023

It integrates seamlessly with other AWS services and supports various data integration and transformation workflows. Google BigQuery: Google BigQuery is a serverless, cloud-based data warehouse designed for big data analytics. It provides a scalable and fault-tolerant ecosystem for big data processing.

Data Engineering 195

Data Engineering Data Engineering Data Engineer Data Engineering 195

Data Science Dojo

JANUARY 16, 2023

An overview of data analysis, the data analysis process, its various methods, and implications for modern corporations. Studies show that 73% of corporate executives believe that companies failing to use data analysis on big data lack long-term sustainability.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

Smart Data Collective

APRIL 20, 2023

There are many ways businesses are using big data to make better decisions and operate more efficiently Organizations can use big data to optimize expenses and reduce costs. A modern data infrastructure can help get more value from data by accelerating decision making, simplifying operations, and powering analytics.

Big Data 145

Big Data Big Data Internet of Things Data Models 145

Smart Data Collective

OCTOBER 20, 2021

Organizations must adopt transformative technologies like Artificial Intelligence (AI) and Machine Learning (ML) to harness the true potential of data, drive decision making, and ultimately improve ease of doing business. Why is Data Integration a Challenge for Enterprises?

ML 133

ML ML Big Data Big Data 133

Flipboard

MARCH 8, 2023

When the Navy SEALS embraced its motto, “Slow is smooth, and smooth is fast,” they may as well have been discussing building data models in the same …

Data Modeling 65

Data Modeling Data Models Big Data Big Data 65

Smart Data Collective

MARCH 30, 2021

A data-driven approach allows companies of any scale to develop SEO and marketing strategies based not on the opinion of individual marketers but on real statistics. Big data helps better understand your customers, adjust your strategy according to the obtained results, and even decide on the further development of your product line.

Big Data 111

Big Data Big Data Data Analysis Data Analysis 111

Data Science Dojo

APRIL 18, 2023

First, the amount of data available to organizations has grown exponentially in recent years, creating a need for professionals who can make sense of it. Second, advancements in technology, such as big data and machine learning, have made it easier and more efficient to analyze data.

Data Analyst 195

Data Analyst Data Visualization Data Analysis Data Analysis 195

The Data Administration Newsletter

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time. In a world where big data is becoming more popular and the use of predictive modeling is on the rise, there are steps […].

Data Mining 115

Data Mining Data Mining Data Mining Big Data 115

Data Science Dojo

JULY 12, 2023

Applications that heavily rely on relational data models, with interconnected data that necessitate robust integrity and relational operations. NoSQL databases are well-suited for: Big data analytics and real-time streaming applications demand high scalability and performance.

SQL 195

SQL Database Big Data Big Data 195

Data Science Dojo

APRIL 7, 2025

Similarly, synthetic data keeps the realism of your dataset intact while ensuring that no real individual can be traced. Data Generation : Based on what it learned, the system creates entirely new, fake records that mimic the original data without representing real individuals.

AI 195

AI AI Machine Learning Machine Learning 195

Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately. Write Down Your Objectives.

Big Data 105

Big Data Big Data Analytics Analytics 105

Smart Data Collective

APRIL 2, 2019

These massive storage pools of data are among the most non-traditional methods of data storage around and they came about as companies raced to embrace the trend of Big Data Analytics which was sweeping the world in the early 2010s. Big Data is, well…big.

Data Lakes 106

Data Lakes Big Data Big Data Data Scientist 106

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 139

Predictive Analytics Analytics Analytics Decision Trees 139

Dataconomy

SEPTEMBER 4, 2023

Key features of cloud analytics solutions include: Data models , Processing applications, and Analytics models. Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Data Mining Techniques and Data Visualization.

Data Mining 144

Data Mining Data Mining Data Mining Data Science 144

Smart Data Collective

AUGUST 9, 2022

Big data technology is a double-edged sword for many companies. They are discovering that there are countless benefits of investing in data in business. Unfortunately, making use of big data is a challenge for many companies. They have accumulated large amounts of data, but struggle to analyze it.

Database 122

Database SQL Big Data Big Data 122

Flipboard

JULY 26, 2023

Fact and dimension tables are crucial components of Power BI data models. Enhance your data analysis by learning their differences. In Power BI, fact …

Power BI 123

Power BI Data Analysis Data Analysis Data Modeling 123

Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. Formerly known as Periscope, Sisense is a business intelligence tool ideal for cloud data teams.

Business Intelligence 138

Business Intelligence Business Intelligence Tableau SQL 138

The Data Administration Newsletter

JUNE 1, 2021

One of the ideas we promote is elegance in the core data model in a Data-Centric enterprise. Look at most application-centric data models: you would think they would be simpler than the enterprise model, after all, they are a small subset of it. This is harder than it sounds.

Data Modeling 98

Data Modeling Data Models Big Data Big Data 98

Data Science Dojo

JANUARY 10, 2023

Very few people would know that data scientists spend nearly 80% of their time on data cleaning and transforming before working on data modeling. In fact, bad data is the major cause of productivity levels not being up to par in data science companies.

Data Science 195

Data Science Data Scientist Data Analyst Machine Learning 195