Smart Data Collective

OCTOBER 13, 2021

This is of great importance to remove the barrier between the stored data and the use of the data by every employee in a company. If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making.

Data Visualization 145

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Smart Data Collective

MARCH 30, 2022

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses.

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Smart Data Collective

JUNE 16, 2022

The data is processed and modified after it has been extracted. Data is fed into an Analytical server (or OLAP cube), which calculates information ahead of time for later analysis. A data warehouse extracts data from a variety of sources and formats, including text files, excel sheets, multimedia files, and so on.

Analytics 139

Analytics Analytics Data Scientist Data Warehouse 139

Smart Data Collective

DECEMBER 13, 2022

Five Best Practices for Data Analytics. Extracted data must be saved someplace. There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources.

Data Analysis 145

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Pickl AI

AUGUST 9, 2024

Additionally, students should grasp the significance of Big Data in various sectors, including healthcare, finance, retail, and social media. Understanding the implications of Big Data analytics on business strategies and decision-making processes is also vital.

Big Data 52

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Towards AI

FEBRUARY 21, 2023

To make this easier, businesses must create an organized data storage and retrieval system. Storage tools like data warehouses and data lakes will help efficiently store the data, streamlining both retrieval and analysis. The analysis helps to identify patterns and trends that can provide actionable insights.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI AI 98

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

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 119

Big Data Big Data Data Engineering Data Engineering 119

ODSC - Open Data Science

APRIL 4, 2024

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.

Data Visualization 52

Data Visualization Analytics Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 18, 2024

It utilises Amazon Web Services (AWS) as its main data lake, processing over 550 billion events daily—equivalent to approximately 1.3 petabytes of data. The architecture is divided into two main categories: data at rest and data in motion. The platform employs Big Data analytics to monitor user interactions in real time.

Big Data 52

Big Data Big Data Apache Kafka Big Data Analytics 52

Women in Big Data

SEPTEMBER 7, 2024

TYPES OF BIG DATA There are three main types of big data: Structured, unstructured and semi structured. Structured Structured data is quantitative and highly organized, typically managed within relational databases. Examples include Excel files, SQL databases, and data warehouses.

Big Data 59

Big Data Big Data Database Machine Learning 59

Precisely

MARCH 10, 2023

At the same time, IoT devices, web analytics, social media, and interconnected systems generate higher volumes of data than ever before. Consequently, there is a growing demand for scalable analytics. Think back to the early 2000s, a time of big data warehouses with rigid structures.

Analytics 59

Analytics Analytics Data Warehouse Big Data 59

Pickl AI

JANUARY 28, 2025

This involves several key processes: Extract, Transform, Load (ETL): The ETL process extracts data from different sources, transforms it into a suitable format by cleaning and enriching it, and then loads it into a data warehouse or data lake. Data Lakes: These store raw, unprocessed data in its original format.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Pickl AI

APRIL 6, 2023

Which service would you use to create Data Warehouse in Azure? Answer : Azure Synapse is a service that offers limitless analytics that unifies Big Data Analytics and Enterprise Data Warehousing. FAQs What are the jobs available for Azure Certified Data Engineer?

Azure 52

Azure Data Engineer Data Engineering Data Engineering 52

IBM Journey to AI blog

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JULY 29, 2024

It utilises the Hadoop Distributed File System (HDFS) and MapReduce for efficient data management, enabling organisations to perform big data analytics and gain valuable insights from their data. Ensuring seamless data flow and compatibility between systems requires careful planning and execution.

Hadoop 52

Hadoop Clustering Big Data Big Data 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. Norway is also making use of big data analytics to keep track of national health trends.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

DECEMBER 9, 2024

Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 Turning raw data into meaningful insights helps businesses anticipate trends, understand consumer behaviour, and remain competitive in a rapidly changing world.

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

Pickl AI

JULY 6, 2023

In summary, while both Pig and Hive serve similar purposes in the Hadoop ecosystem, their choice depends on the specific use case, data processing requirements, and user skill set. Data Warehousing Hive provides a familiar SQL-like interface for data warehousing tasks, making migrating traditional data warehouse workloads to Hadoop easier.

Hadoop 52

Hadoop SQL Big Data Big Data 52

DagsHub

NOVEMBER 11, 2024

Creating multimodal embeddings means training models on datasets with multiple data types to understand how these types of information are related. Multimodal embeddings help combine unstructured data from various sources in data warehouses and ETL pipelines.

AI 52

AI AI Data Lakes Database 52

Pickl AI

SEPTEMBER 5, 2024

The platform’s integration with Azure services ensures a scalable and secure environment for Data Science projects. Azure Synapse Analytics Previously known as Azure SQL Data Warehouse , Azure Synapse Analytics offers a limitless analytics service that combines big data and data warehousing.

Azure 52

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Alation

FEBRUARY 13, 2020

We’re going to be talking about some of the new advances that are associated with big data analytics and improving the rate at which human beings, people who actually work with data, can get more out of their data, be more certain about their data, and improve the social system that actually is dependent upon data.

Tableau 52

Tableau Analytics Analytics Data Quality 52

Pickl AI

FEBRUARY 23, 2025

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52