Alation

FEBRUARY 13, 2020

Human Curation + Machine Learning. The way Herschel, Fry, and Zimmerman talked about AI in many respects reflects our vision for machine learning data catalogs. What’s more, Zaidi and Gartner believe that this vision of a machine-learning-enabled data catalog creates real value for enterprises.

Machine Learning 52

Machine Learning Data Analytics Analytics Metadata 52

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? My journey in helping our customers with their technical queries started when I joined Gartner in late 2016. I saw the winds change and the inquiry requests shifted towards advanced analytics involving machine learning (ML) questions.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

Smart Data Collective

NOVEMBER 11, 2020

Every aspect of golf in the modern form is being transformed through data analysis, cloud technologies, machine learning, and scientific advances. Golf has since embraced data analytics to provide enjoyment to the game and a deeper understanding. A study was held in 2016 that saw Big Data come into the scene.

Big Data 81

Big Data Scorecard Statistics Cost-Benefit 81

Cloudera

SEPTEMBER 29, 2021

Savvy medium-sized businesses have opportunities to implement data tools as they become more widespread and affordable. . 86% of the companies adopting big data and data analytics state that adopting the technology has had a positive impact. . The returns are tangible. Challenges.

Data-driven 81

Data-driven Data Collection Strategy Enterprise 81

Alation

FEBRUARY 13, 2020

At some level, every enterprise is struggling to connect data to decision-making. In The Forrester Wave: Machine Learning Data Catalogs, 36% to 38% of global data and analytics decision makers reported that their structured, semi-structured, and unstructured data each totaled 1,000 TB or more in 2017, up from only 10% to 14% in 2016.

ROI 52

ROI Cost-Benefit Unstructured Data Data Lake 52

Cloudera

SEPTEMBER 28, 2020

ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. The data lifecycle model ingests data using Kafka, enriches that data with Spark-based batch process, performs deep data analytics using Hive and Impala, and finally uses that data for data science using Cloudera Data Science Workbench to get deep insights.

Testing 132

Testing Metadata Risk Data Science 132

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