AWS Big Data

MARCH 26, 2024

We are delighted to announce the release of the Data Analytics Lens. Using the Lens in the Tool’s Lens Catalog, you can directly assess your Analytics workload in the console, and produce a set of actionable results for customized improvement plans recommended by the Tool. What’s new in the Data Analytics Lens?

Data Analytics 55

Data Analytics Analytics Big Data Data Lake 55

Smart Data Collective

JUNE 24, 2021

We have talked extensively about the value of using data for marketing strategies in all industries. Analytics can be particularly useful for content marketing. Many marketers are stuck in 2008, when data analytics didn’t have a place in digital marketing strategies. Find new leads.

Marketing 86

Marketing Strategy Analytics Marketing Analytics 86

Smart Data Collective

APRIL 5, 2022

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. Drones Surveyors Are Pioneers in the Data Analytics Field.

Data Collection 107

Data Collection Data Quality Big Data Data-driven 107

AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. FactSet has several datasets available in the AWS Data Exchange marketplace, which we used for reference data.

Data Warehouse 124

Data Warehouse Dashboards Risk Management Risk 124

Smart Data Collective

OCTOBER 15, 2020

Computer Weekly has stated that Linux is the “powerhouse of big data.” However, developing big data applications rely on the most up-to-date tools. Live patching is one of the most important technologies for developers working on data analytics projects on Linux. Live Patching is Important for Big Data Applications.

Cost-Benefit 91

Cost-Benefit Big Data Business Objectives Technology 91

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 79

Data Lake Data Warehouse Sales Data-driven 79

Sisense

MAY 12, 2019

DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. DevOps analytics is the analysis of machine data to find insights that can be acted upon. DevOps data analytics can be set up and measured at any time during your DevOps journey.

Analytics 79

Analytics Dashboards KPI Measurement 79