Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Remember that data stream/river analogy earlier? Remember that data stream/river analogy earlier? Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

AUGUST 4, 2022

That’s typically due to the exponential growth in dataset size and complexity of AI models. “In In an early phase, you might submit a job to the cloud where a training run would execute and the AI model would converge quickly,” says Tony Paikeday, senior director of AI systems at NVIDIA.

Modeling 97

Modeling Cost-Benefit ROI Data Lake 97

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 76

Data Lake Data Governance Cost-Benefit Machine Learning 76

CIO Business Intelligence

APRIL 25, 2024

With questions around ROI, increasing outlay, and corporate scrutiny on IT cost savings on the rise, CIOs must know not only what contributes to their organization’s overall cloud spend but also how to optimize it. Evolving enterprise needs often outpace the product roadmaps of SaaS cost optimization solutions providers.

Management 124

Management Optimization Strategy Enterprise 124

IBM Big Data Hub

APRIL 25, 2023

Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. Read our blog on solving today’s challenges with a lakehouse architecture Value of data warehouse optimization Since its introduction over a century ago, the gasoline-powered engine has remained largely unchanged.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

CIO Business Intelligence

APRIL 1, 2024

You can innovate and protect your corporate data by running a private GenAI instance that affords you greater control over total cost of ownership, performance, security, and other critical factors. Cleanse your data. GenAI requires high-quality data. Right-size your model(s).

Data Lake 142

Data Lake Consulting Uncertainty Risk 142

CIO Business Intelligence

APRIL 29, 2022

This would be straightforward task were it not for the fact that, during the digital-era, there has been an explosion of data – collected and stored everywhere – much of it poorly governed, ill-understood, and irrelevant. Data Centricity. There is evidence to suggest that there is a blind spot when it comes to data in the AI context.

Data Governance 145

Data Governance IT Risk Data Lake 145

IBM Big Data Hub

JUNE 14, 2023

And then you need highly specialized, expensive and difficult to find skills to work the magic of training an AI model. But that’s all changing thanks to pre-trained, open source foundation models. This is usually text, but it can also be code, IT events, time series, geospatial data, or even molecules.

Modeling 92

Modeling Data Lake Enterprise Deep Learning 92

IBM Big Data Hub

APRIL 15, 2024

The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Or we create a data lake, which quickly degenerates to a data swamp. IBM built a workforce advisor that uses summarization and contextual data understanding with intent detection and multi-modal interaction.

Manufacturing 102

Manufacturing Contextual Data Knowledge Discovery Data Lake 102

CIO Business Intelligence

DECEMBER 6, 2023

The migration, still in its early stages, is being designed to benefit from the learned efficiencies, proven sustainability strategies, and advances in data and analytics on the AWS platform over the past decade. This enables the company to extract additional value from the data through real-time availability and contextualization.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Risk 76

Risk Modeling Management Metadata 76

AWS Big Data

NOVEMBER 10, 2023

Apache Spark is a widely-used open source distributed processing system renowned for handling large-scale data workloads. Amazon Redshift offers seamless integration with Apache Spark, allowing you to easily access your Redshift data on both Amazon Redshift provisioned clusters and Amazon Redshift Serverless.

Data Processing 89

Data Processing Data Lake Data Warehouse Optimization 89

erwin

JUNE 7, 2022

Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Data modeling for the cloud: good database design means “right size” and savings. It shows pricing for a data warehousing project with just 4 TBs of data, small by today’s standards.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

CIO Business Intelligence

MARCH 18, 2024

As more businesses look to carve out an advantage in an increasingly competitive market, many are turning toward cloud computing—particularly hybrid cloud approaches that blend the power of the mainframe with the innovation of the cloud—to make the most of their data. But that data is only valuable if it is up to date and accurate.

Cost-Benefit 98

Cost-Benefit Data Lake Machine Learning Data Integration 98

CIO Business Intelligence

MAY 23, 2022

Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. The cloud is great for experimentation when data sets are smaller and model complexity is light.

Experimentation 137

Experimentation Cost-Benefit Data Lake Data Science 137

BizAcuity

JULY 13, 2021

Fraud Detection: AI records the data of users and their gambling activities and collectively determines cheating methods by flagging its suspicious occurrence and therefore, suspending accounts for further investigation. Data Enrichment/Data Warehouse Layer. Data Analytics Layer. Data Visualization Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

AWS Big Data

JANUARY 17, 2024

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg, and Delta lake. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 89

Data Lake Snapshot Big Data Data-driven 89

DataKitchen

AUGUST 19, 2021

We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space. DataKitchen has extensive experience using the data mesh design pattern with pharmaceutical company data. . The new Recipes run, and BOOM!

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

CIO Business Intelligence

APRIL 11, 2022

With the focus shifting to distributed data strategies, the traditional centralized approach can and should be reimagined and transformed to become a central pillar of the modern IT data estate. It can also ease data accessibility. over last year. In many cases, this created a mostly unusable swamp.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

AWS Big Data

MARCH 21, 2024

They have to reliably capture, process, analyze, and load the data into a myriad of data stores, all in real time. However, it can be challenging to set up a Kafka cluster along with other data processing components that scale automatically depending on your application’s needs.

Data Lake 92

Data Lake Management Modeling Optimization 92

IBM Big Data Hub

MAY 9, 2023

Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. Building a model requires specialized, hard-to-find skills — and each new task requires repeating the process. ” These large models have lowered the cost and labor involved in automation.

Enterprise 133

Enterprise Technology Modeling Cost-Benefit 133

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Choose Create endpoint.

Data Lake 93

Data Lake Data Warehouse Testing Business Objectives 93

CIO Business Intelligence

JULY 26, 2023

“The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. As for Keller Williams, Chief Technology and Digital Officer Chris Cox sees the cloud as an engine for innovation. “We

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

CIO Business Intelligence

APRIL 25, 2022

You can think that the general-purpose version of the Databricks Lakehouse as giving the organization 80% of what it needs to get to the productive use of its data to drive business insights and data science specific to the business. They require specific data inputs, models, algorithms and they deliver very specific recommendations.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

OCTOBER 21, 2022

Chipotle IT’s secret sauce Garner credits Chipotle’s wholly owned business model for enabling him to deploy advanced technologies such as the cloud, analytics, data lake, and AI uniformly to all restaurants because they are all based on the same digital backbone. Seven years later, the Newport Beach, Calif.-based

Digital Transformation 145

Digital Transformation Data Lake Forecasting Technology 145

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution. It’s a win-win.

Metadata 82

Metadata Data Lake Optimization Modeling 82

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. One of the key benefits of DataOps is the ability to accelerate the development and deployment of data-driven solutions.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

JANUARY 10, 2024

Optimizing cloud investments requires close collaboration with the rest of the business to understand current and future needs, building effective FinOps teams, partnering with providers, and ongoing monitoring of key performance metrics. “Overspending is easy to do,” says Chris McMasters, CIO at the City of Corona, California.

Cost-Benefit 124

Cost-Benefit Measurement Optimization Metrics 124

Ontotext

MAY 2, 2024

Application-centric approach In the application-centric approach to data, people create an application to solve their problems today. Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.

Manufacturing 80

Manufacturing Contextual Data IoT Digital Transformation 80

CIO Business Intelligence

MARCH 9, 2022

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a data lake. Reem Alaya Lebhar. Talal Mufti.

Data Science 98

Data Science Data Lake Cost-Benefit Digital Transformation 98

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

AWS Big Data

APRIL 11, 2023

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. Solution overview In today’s highly competitive business landscape, it’s essential for retailers to optimize their inventory management processes to maximize profitability and improve customer satisfaction.

Forecasting 72

Forecasting Management IoT Data-driven 72

CIO Business Intelligence

JULY 12, 2023

However, some things are common to virtually all types of manufacturing: expensive equipment and trained human operators are always required, and both the machinery and the people need to be deployed in an optimal manner to keep costs down. We created a data lake, so we have access to all that data in a very efficient way,” says Papermaster.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98