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 128

Data Collection Data Quality Big Data Data-driven 128

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 111

Marketing Strategy Analytics Marketing Analytics 111

DataKitchen

MAY 10, 2021

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

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.

Big Data 125

Big Data Cost-Benefit Business Objectives Technology 125

CIO Business Intelligence

MAY 7, 2024

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. The CDO position first gained momentum around 2008, to ensure data quality and transparency to comply with regulations following the housing credit crisis of that era.

Data Strategy 131

Data Strategy Data-driven Data Quality Data Governance 131

CIO Business Intelligence

MARCH 16, 2022

In 2008, Praveen Jonnala became global vice president of digital transformation and business solutions for CommScope, then a $2 billion manufacturer of network infrastructure solutions. Today, after 14 years of acquisitions, the business has more than quadrupled in size. We proactively went to the supply chain team.

IT 114

IT Manufacturing IoT Marketing 114

Smart Data Collective

JULY 31, 2022

Recent months have seen a steady decline in the euro, as inflation has hit a record high and economic growth has dropped to its lowest level since the financial crisis of 2008. There has been some recent evidence that the Eurozone economy is struggling.

Predictive Analytics 145

Predictive Analytics Analytics Uncertainty Forecasting 145

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required. It is continuously updated.

Metadata 121

Metadata Modeling Data Processing Unstructured Data 121

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 134

Data Warehouse Dashboards Risk Management Risk 134

AWS Big Data

APRIL 26, 2024

About the Authors Pradeep Misra is a Principal Analytics Solutions Architect at AWS. He works across Amazon to architect and design modern distributed analytics and AI/ML platform solutions. He is passionate about solving customer challenges using data, analytics, and AI/ML.

Analytics 115

Analytics Data Lake Management Enterprise 115

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 Metrics 79

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 98

Data Lake Data Warehouse Sales Data-driven 98

bridgei2i

AUGUST 11, 2020

You know that, when we went through the last business downturn, 2008 in 2009, funny thing happened in 2010 turnover went up dramatically in sales and because companies started hiring again. We’ll be back with more discussions and points of view from the world of data analytics and AI.

Sales 98

Sales Enterprise B2B Digital Transformation 98

BizAcuity

MAY 10, 2022

2008: Microsoft announces Windows Azure (PaaS) with Azure Blob storage (S3 competitor). 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. The platform wasn’t received well at the beginning. To be continued. About BizAcuity.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

AUGUST 8, 2019

2008 – Financial crisis : scientists flee Wall St. to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops! Data governance, for the win!

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JANUARY 6, 2019

Lately I’ve been developing curriculum for a client for their new “Intro to Data Science” sequence of courses. I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. That’s no problem.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

David Menninger's Analyst Perspectives

JANUARY 15, 2025

I previously explained how Cloudera was positioning itself and its Cloudera Data Platform as an enabler of versatile enterprise data strategies, thanks to its ability to support a variety of workloads, deployment locations and architectural approaches.

Metadata 130

Metadata Data Warehouse Machine Learning Modeling 130

CIO Business Intelligence

APRIL 2, 2025

In 2008, SAP developed the SAP HANA architecture in collaboration with the Hasso Plattner Institute and Stanford University with the goal of analyzing large amounts of data in real-time. However, R/3 was too much for these systems, so SAP had to resort toUNIXworkstations andOracle databases, thereby requiring a client-server model.

Recreation/Entertainment 112

Recreation/Entertainment Manufacturing Enterprise Modeling 112