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. The Thrust for Data Lake Creation.

Data Lake 83

Data Lake Big Data OLAP Testing 83

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

JANUARY 6, 2019

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. They use data infrastructure at work. Data visualization for prediction accuracy ( credit: R2D3 ).

Data Science 56

Data Science Machine Learning Reporting Visualization 56

datapine

APRIL 15, 2020

Agile analytics (or agile business intelligence) is a term used to describe software development methodologies used in BI and analytical processes in order to establish flexibility, improve functionality, and adapt to new business demands in BI and analytical projects. Top 10 Tips For Agile BI & Analytics Development.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

BizAcuity

MAY 10, 2022

2011: IBM enters the cloud market with IBM SmartCloud. Microsoft also releases Power BI, a data visualization and business intelligence tool. Due to the unimaginable scale in which data could be accumulated in this decade, data management and AI will take the front seat in innovation. To be continued.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Smart Data Collective

JUNE 6, 2021

While you may think that you understand the desires of your customers and the growth rate of your company, data-driven decision making is considered a more effective way to reach your goals. The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery.

Big Data 132

Big Data Data Analytics Analytics Cost-Benefit 132

Alation

FEBRUARY 20, 2020

Analyst Michelle Goetz, a well known advisor to enterprise architects, chief data officers, and business analysts, has been tracking this market for some time. She’s seen the evolution of the self-service analytics market from decision systems to business intelligence to data visualization to data science and automated intelligence.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52