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.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

CIO Business Intelligence

DECEMBER 1, 2022

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.”

Digital Transformation 137

Digital Transformation IoT Data-driven KPI 137

IBM Big Data Hub

SEPTEMBER 19, 2023

Manufacturers can analyze a failed component on an assembly line and determine the reason behind its failure. An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Cloudera

NOVEMBER 12, 2020

Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Warehouse 101

Data Warehouse Reporting Risk Cost-Benefit 101

CIO Business Intelligence

APRIL 22, 2024

Per esempio, “i PoC aiutano a definire i parametri in base ai quali organizzare i data lake o i criteri per la digitalizzazione dei workflow. Infatti, un CIO del manufacturing ci ha raccontato di aver chiesto un aumento di budget per effettuare procedure di ridondanza edisaster recovery in cloud, ma “il messaggio non è stato raccolto”.

Data Lake 103

Data Lake Testing Management IoT 103

CIO Business Intelligence

SEPTEMBER 8, 2022

Few companies have the luxury of waiting days or weeks to analyze data before reacting. And in some industries — like healthcare, financial services, manufacturing, etc., — not having real-time data to make rapid critical adjustments can lead to catastrophic outcomes.” — Jack Gold ( @jckgld ), President and Principal Analyst at J.

Cost-Benefit 119

Cost-Benefit Internet of Things Data-driven Data Lake 119

Cloudera

MAY 12, 2021

If you are working in an organization that is driving business innovation by unlocking value from data in multiple environments — in the private cloud or across hybrid and multiple public clouds — we encourage you to consider entering this category. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. 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.

Metadata 78

Metadata Testing Data Lake Consulting 78

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. Data Literacy, training, coordination, collaboration 8.

IT 52

IT Data Lake Strategy Data Science 52

IBM Big Data Hub

OCTOBER 16, 2023

These advanced analytics can lead to data-driven personalized medication or treatment recommendations. The discovery and manufacturing of new medications, which traditionally go through involved, expensive and time-consuming tests, can be sped up using ML. The platform has three powerful components: the watsonx.ai

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Sisense

OCTOBER 6, 2020

Traditional methods of gathering and organizing data can’t organize, filter, and analyze this kind of data effectively. What seem at first to be very random, disparate forms of qualitative data require the capacity of data warehouses , data lakes , and NoSQL databases to store and manage them.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

NOVEMBER 25, 2022

Today, more than 90% of its applications run in the cloud, with most of its data is housed and analyzed in a homegrown enterprise data warehouse. Like many CIOs, Carhartt’s top digital leader is aware that data is the key to making advanced technologies work. Today, we backflush our data lake through our data warehouse.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

AWS Big Data

FEBRUARY 12, 2024

Gupshup’s carrier-grade platform provides a single messaging API for 30+ channels, a rich conversational experience-building tool kit for any use case, and a network of emerging market partnerships across messaging channels, device manufacturers, ISVs, and operators. Save time and eliminate unnecessary processes.

Data Warehouse 98

Data Warehouse Analytics Snapshot Cost-Benefit 98

In(tegrate) the Clouds

DECEMBER 21, 2015

Aside from the Internet of Things, which of the following software areas will experience the most change in 2016 – big data solutions, analytics, security, customer success/experience, sales & marketing approach or something else? 2016 will be the year of the data lake. Is Netflix considered a software company these days?

Technology 45

Technology Internet of Things Digital Transformation Software 45

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 120

Data Lake IT Experimentation Data-driven 120

AWS Big Data

MARCH 18, 2024

Load generic address data to Amazon Redshift Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Redshift Serverless makes it straightforward to run analytics workloads of any size without having to manage data warehouse infrastructure.

Data Warehouse 79

Data Warehouse Visualization Snapshot Data-driven 79

Ontotext

MARCH 8, 2023

As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place. Yet, the biggest challenge for risk analysis continues to suffer from lack of a scalable way of understanding how data is interrelated.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

CIO Business Intelligence

MAY 24, 2022

The survey found the mean number of data sources per organisation to be 400, and more than 20 percent of companies surveyed to be drawing from 1,000 or more data sources to feed business intelligence and analytics systems. However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years.

Data-driven 92

Data-driven Data Lake Data Warehouse Cost-Benefit 92

IBM Big Data Hub

AUGUST 1, 2023

Instead of spending time and effort on training a model from scratch, data scientists can use pretrained foundation models as starting points to create or customize generative AI models for a specific use case. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks.

Modeling 60

Modeling Cost-Benefit Data Lake Machine Learning 60

CIO Business Intelligence

OCTOBER 19, 2022

“So, at Zebra, we created a hub-and-spoke model, where the hub is data engineering and the spokes are machine learning experts embedded in the business functions. We kept the data warehouse but augmented it with a cloud-based enterprise data lake and ML platform.

IT 123

IT Digital Transformation Data Warehouse Risk 123

CIO Business Intelligence

SEPTEMBER 22, 2023

DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein. Roku OneView The brand name may be more familiar as a streaming video device manufacturer, but Roku also places ads.

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

JUNE 9, 2022

Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein. Now advertisers can use the data management platform to track how their campaigns are performing.

Management 144

Management Advertising Data Lake Sales 144

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.

Analytics 109

Analytics Key Performance Indicator Data Warehouse Data-driven 109

FineReport

APRIL 11, 2023

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

IBM Big Data Hub

OCTOBER 12, 2023

To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture. This type of architecture combines the performance and usability of a data warehouse with the flexibility and scalability of a data lake.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

datapine

AUGUST 29, 2022

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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. Reserve your seat now!

Data-driven 87

Data-driven Data Lake Machine Learning Cost-Benefit 87

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 85

Data Lake Manufacturing Metadata Dashboards 85

Cloudera

MAY 3, 2021

Contrast this with the skills honed over decades for gaining access, building data warehouses, performing ETL, creating reports and/or applications using structured query language (SQL). Benefits of Streaming Data for Business Owners. Available Solutions .

Cost-Benefit 100

Cost-Benefit Digital Transformation Data Lake Enterprise 100

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. What Is the Role of Data Governance in Data Modernization?

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

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. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Data lakes don’t offer this nor should they. Policy execution.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52