DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Data Lake Dashboards Data Science 130

IBM Big Data Hub

MAY 19, 2023

In addition, cloud ERP solutions enable SMEs to enhance their overall productivity by reducing manufacturing time. TDC Digital caters to small factories, such as rolling door manufacturers, who use their platform to monitor their stock and production flow.

Unstructured Data 74

Unstructured Data Data Processing Manufacturing Data Lake 74

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation. “I

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

AWS Big Data

MARCH 25, 2024

You can find similar use cases in other industries such as retail, car manufacturing, energy, and the financial industry. In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature. Apache Flink again is a framework that can do stateful operations in at-memory speed.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

Cloudera

MAY 12, 2021

Should you find yourself looking for inspiration for your entry, we encourage you to have a look at the incredible work of last year’s data superheroes. With use cases across Manufacturing, Financial Services, Healthcare, and beyond, our customers showcased immense innovations in tackling some big challenges.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

AWS Big Data

APRIL 19, 2023

He is passionate about big data and data analytics. Sandeep Singh is a Lead Consultant at AWS ProServe, focused on analytics, data lake architecture, and implementation. He helps enterprise customers migrate and modernize their data lake and data warehouse using AWS services.

Metadata 81

Metadata Testing Data Lake Consulting 81

Andrew White

OCTOBER 22, 2021

Manufacturer (process or discrete) 8. Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Financial Services 4. Healthcare 4. Higher Ed.

IT 52

IT Data Lake Strategy Data Science 52

Andrew White

OCTOBER 25, 2019

Here is my final analysis of my 1-1s and interactions this week: Topic: Data Governance 28. Vision/Data Driven/Outcomes 28. Data, analytics, or D&A Strategy 21. Modern) Master Data Management 18. Data lake 4. Data Literacy 4. IoT/Streaming data 1. Manufacturing 13. Hoteling 1.

Recreation/Entertainment 40

Recreation/Entertainment IT Data Lake Data-driven 40

Hurwitz & Associates

JUNE 28, 2018

Chief Data Officers (CDOs) have a weighty responsibility: they are “on point” to find the actionable insights and data trends from analysis of data lakes, data repositories and virtual “seas” of data flowing across their large organizations. The Role of Best Practices.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40

DataKitchen

NOVEMBER 29, 2021

If data analytics is like a factory, the DataOps Engineer owns the assembly line used to build a data and analytic product. Most organizations run the data factory using manual labor. For example, a Hub-Spoke architecture could integrate data from a multitude of sources into a data lake.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

CIO Business Intelligence

NOVEMBER 4, 2022

When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5 billion company’s scientific, commercial, and manufacturing businesses since joining the company in 2014. Much of Regeneron’s data, of course, is confidential.

Data Lake 124

Data Lake IT Experimentation Data-driven 124

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

AWS Big Data

AUGUST 2, 2023

Using existing analytics tools such as Amazon Athena and Amazon QuickSight an organization can gain insight into its estimated carbon footprint. The data architecture diagram below shows an example of how you could use AWS services to calculate and visualize an organization’s estimated carbon footprint.

Data Lake 73

Data Lake Measurement Visualization Data Architecture 73

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. Oil and Gas.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

CIO Business Intelligence

JUNE 24, 2022

For example, as a major manufacturer, Kimberly-Clark occasionally receives fraudulent claims from distributors that were often paid due to the lack of tools to detect errors and automate decision-making. But for Kumbhat, it’s the business that drives the IT agenda, not the other way around. RPA has fixed this, Kumbhat says.

Digital Transformation 126

Digital Transformation B2B Data-driven Data Lake 126

CIO Business Intelligence

MARCH 22, 2022

Which type(s) of storage consolidation you use depends on the data you generate and collect. . One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Set up unified data governance rules and processes.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

DataKitchen

OCTOBER 11, 2021

The biggest challenge is broken data pipelines due to highly manual processes. Figure 1 shows a manually executed data analytics pipeline. First, a business analyst consolidates data from some public websites, an SFTP server and some downloaded email attachments, all into Excel.

Testing 152

Testing Metadata Dashboards Statistics 152

IBM Big Data Hub

OCTOBER 12, 2023

Stored data is predicted to see a 250% growth by 2025, 1 the results of which are likely to include a greater number of disconnected silos and higher associated costs. To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture.

Cost-Benefit 77

Cost-Benefit Metadata Data Governance Modeling 77

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data Lake 89

Data Lake Manufacturing Metadata Dashboards 89

AWS Big Data

NOVEMBER 8, 2023

Real-time data empowers these models to adapt and respond instantaneously to changing scenarios, making them not just smarter but also more practical. With real-time streaming data, organizations can reimagine what’s possible. You can practice new skills in a real AWS environment with hands-on labs that cover data analytics solutions.

Data-driven 91

Data-driven Data Lake Machine Learning Cost-Benefit 91

Cloudera

MAY 3, 2021

In the typical manufacturing enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skill set typically consists of Java or Scala programming skills mated with deep DevOps acumen. Available Solutions .

Cost-Benefit 103

Cost-Benefit Digital Transformation Data Lake Enterprise 103

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. Data lakes don’t offer this nor should they.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

FEBRUARY 20, 2020

In the back office and manufacturing, organizations invested in enterprise resource planning (ERP) software. Today, CDOs in a wide range of industries have a mechanism for empowering their organizations to leverage data. As data initiatives mature, the Alation data catalog is becoming central to an expanding set of use cases.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52