AWS Big Data

APRIL 25, 2023

EventBridge is used to track the events like receiving the leads data in the producer or consumer AWS accounts and then triggering a workflow. Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance.

Sales 74

Sales Visualization Software Marketing 74

AWS Big Data

JUNE 29, 2023

Notebooks are provisioned quickly and provide a way for you to instantly view and analyze your streaming data. This pipeline could further be used to send data to Amazon OpenSearch Service or other targets for additional processing and visualization.

Data Analytics 76

Data Analytics Analytics IoT Data Lake 76

AWS Big Data

APRIL 20, 2023

In the following sample code, we generate a report showing the quarterly sales for the year 2008. To do that, we join two Amazon Redshift tables using an Apache Spark DataFrame, run a predicate pushdown, aggregate and sort the data, and write the transformed data back to Amazon Redshift. where( col("year") == 2008).groupBy("qtr").sum("qtysold").select(

Data Lake 80

Data Lake Data Warehouse Sales Data-driven 80

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

The Unofficial Google Data Science Blog

SEPTEMBER 30, 2016

SCOTT Big data is new and exciting, but there are still lots of small data problems in the world. Many people who are just becoming aware that they need to work with data are finding that they lack the tools to do so. By STEVEN L. The statistics app for Google Sheets hopes to change that.

Statistics 53

Statistics Big Data Data Science Marketing 53

Domino Data Lab

AUGUST 8, 2019

He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. 2008 – Financial crisis : scientists flee Wall St. 2018 – Global reckoning about data governance, aka “Oops!

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Occam's Razor

OCTOBER 14, 2014

But it is often a million times simpler to create your first set of benchmarks using your own data/performance. If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! There are four reasons, again from Web Analytics: An Hour A Day, from 2008 (!):

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133