Smart Data Collective

APRIL 2, 2019

Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. There were a lot of promises made about Big Data that fell at the feet of data scientists to make happen.

Data Lakes 106

Data Lakes Big Data Big Data Data Scientist 106

Flipboard

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Text, images, audio, and videos are common examples of unstructured data. He is also the author of the book Simplify Big Data Analytics with Amazon EMR.

AWS 164

AWS ML ML Analytics 164

Smart Data Collective

MAY 29, 2023

Skills Sets to Look For When entering into the hiring process for a data analyst there are a few skills that are recommended to look for when narrowing down the pool of options. Data modeling will result in how, in part, a business will set standards.

Data Analyst 104

Data Analyst SQL Data Scientist Data Analysis 104

Pickl AI

JUNE 29, 2023

Embrace Big Data Analytics With data’s exponential growth, organisations increasingly rely on big data analytics. Splunk’s ability to handle large volumes of data and provide real-time insights positions professionals to excel in the big data analytics field.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Pickl AI

JANUARY 28, 2025

Data Lakes: These store raw, unprocessed data in its original format. They are useful for big data analytics where flexibility is needed. Data Modeling Data modeling involves creating logical structures that define how data elements relate to each other.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Mlearning.ai

MARCH 3, 2023

At the core, there must lie some data model with fix set of subjects and their KPIs. Once this model is fixed, you can then add on data that relates to these subjects. This is simple, most of the clients have a dictionary that tells you what each data piece is. Most of the time , its going to be Number 2.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

APRIL 6, 2023

Understand the fundamentals of data engineering: To become an Azure Data Engineer, you must first understand the concepts and principles of data engineering. Knowledge of data modeling, warehousing, integration, pipelines, and transformation is required.

Azure 52

Azure Data Engineering Data Engineering Data Engineer 52

phData

AUGUST 11, 2023

Assistance Publique-Hôpitaux de Paris (AP-HP) uses these data analytics models to predict how many patients will visit them each month as outpatients and for emergency reasons. Data engineering in research helped to study vaccines better.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JULY 3, 2024

This can be beneficial for handling unstructured or semi-structured data that doesn’t fit neatly into predefined table structures. Big Data Analytics In the realm of Big Data, where massive datasets are analyzed, attributes play a vital role in data wrangling and feature engineering.

Database 52

Database Data Analysis Data Analysis Data Wrangling 52

IBM Journey to AI blog

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

AWS Machine Learning Blog

AUGUST 21, 2023

The capabilities of Lake Formation simplify securing and managing distributed data lakes across multiple accounts through a centralized approach, providing fine-grained access control. Solution overview We demonstrate this solution with an end-to-end use case using a sample dataset, the TPC data model.

AWS 95

AWS Data Lakes Clustering Data Preparation 95

IBM Journey to AI blog

SEPTEMBER 5, 2024

Value realization Good data governance aims to maximize the value of data as a strategic asset, enhancing decision-making, big data analytics , machine learning and artificial intelligence projects. These tools make metadata accessible, helping users understand and use data more effectively.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Pickl AI

JANUARY 16, 2024

Trends in Data Analytics career path Trends Key Information Market Size and Growth CAGR Big Data Analytics Dealing with vast datasets efficiently. Cloud-based Data Analytics Utilising cloud platforms for scalable analysis. Value in 2022 – $271.83 billion In 2023 – $307.52

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

DagsHub

NOVEMBER 11, 2024

In this article, we’ll explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions, enhance customer experiences, and stay ahead of the competition. What is Unstructured Data? These processes are essential in AI-based big data analytics and decision-making.

AI 52

AI AI Data Lakes Database 52

Dataconomy

MARCH 19, 2025

Hadoop as a Service (HaaS) offers a compelling solution for organizations looking to leverage big data analytics without the complexities of managing on-premises infrastructure. With the rise of unstructured data, systems that can seamlessly handle such volumes become essential to remain competitive.

Hadoop 91

Hadoop Big Data Big Data Big Data Analytics 91

Precisely

OCTOBER 16, 2023

Rapid advancements in digital technologies are transforming cloud-based computing and cloud analytics. Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage.

Analytics 72

Analytics Analytics Big Data Analytics Big Data Analytics 72