Smart Data Collective

MAY 20, 2019

How will we manage all this information? For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. Cloud Computing and Related Mechanics. Big data, advanced analytics, machine learning, none of these technologies would exist without cloud computing and the resulting infrastructure.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Hadoop, Snowflake, Databricks and other products have rapidly gained adoption.

Data Lakes 59

Data Lakes Data Warehouse Hadoop Big Data 59

Smart Data Collective

NOVEMBER 8, 2020

Essential automation tools include shell scripting tool, which informs a UNIX server of what and when to complete a task, CRON, which is a crucial time-based task scheduler that marks when specific tasks should be executed, and Apache Airflow, which relies on the available scripting capabilities to schedule data workflows.

Data Engineering 104

Data Engineering Data Engineer Data Engineering Data Engineering 104

Precisely

JULY 26, 2024

Data scientists who work with Hadoop or Spark can certainly remember when those platforms came out; they’re still quite new compared to mainframes. But few of the people who work with mainframes today can recall when the first old mainframe computer came out. In place of vacuum tubes, core memory stores information magnetically.

Big Data Analytics 98

Big Data Analytics Big Data Analytics Hadoop Cloud Computing 98

Pickl AI

SEPTEMBER 17, 2024

The rise of Big Data has been fueled by advancements in technology that allow organisations to collect, store, and analyse vast amounts of information from diverse sources. Organisations can harness Big Data Analytics to identify trends, predict outcomes, and make informed decisions that were previously unattainable with smaller datasets.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

phData

JUNE 12, 2024

I ensure the infrastructure is optimized and scalable, provide customer support, and help diagnose and fix issues in various Hadoop environments. Through ongoing research and learning, I keep up with the latest trends and technologies in DevOps, cloud computing, and automation. Outside of work, what's your life like?

Hadoop 52

Hadoop Clustering Cloud Computing 52

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Semi-structured. Characteristics of Big Data. Variety, Velocity, and Volume.

Big Data 102

Big Data Big Data Database Analytics 102

Pickl AI

NOVEMBER 4, 2024

The goal is to ensure that data is available, reliable, and accessible for analysis, ultimately driving insights and informed decision-making within organisations. Their work ensures that data flows seamlessly through the organisation, making it easier for Data Scientists and Analysts to access and analyse information.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JANUARY 13, 2025

Data Scientist Data Scientists analyze complex data sets to extract meaningful insights that inform business decisions. Data Analyst Data Analysts gather and interpret data to help organisations make informed decisions. Hadoop , Apache Spark ) is beneficial for handling large datasets effectively.

AI 52

AI AI Machine Learning Machine Learning 52

Dataconomy

FEBRUARY 23, 2023

This involves working closely with data analysts and data scientists to ensure that data is stored, processed, and analyzed efficiently to derive insights that inform decision-making. With the rise of big data, data engineering has become critical for organizations looking to make sense of the vast amounts of information at their disposal.

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. Machine Learning Algorithms and Techniques Machine Learning offers a variety of algorithms and techniques that help models learn from data and make informed decisions. A solid foundation in mathematics enhances model optimisation and performance.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

DECEMBER 4, 2024

Data privacy regulations will shape how organisations handle sensitive information in analytics. A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. In healthcare, patient outcome predictions enable proactive treatment plans.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. The platforms then use that information and predictive modeling to recommend relevant products, services or articles. It requires data science tools to first clean, prepare and analyze unstructured big data.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70