AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 93

Management Data Warehouse Metrics Dashboards 93

DataKitchen

FEBRUARY 1, 2021

How do you choose a project that matters to people? DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. Your data consumers are focused on business objectives. A data team with unhappy users is ripe for transformational change.

Business Objectives 245

Business Objectives Cost-Benefit Measurement Metrics 245

AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

Forecasting 82

Forecasting Data Warehouse Machine Learning Modeling 82

DataKitchen

AUGUST 9, 2021

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. We’ve talked about data mesh in organizational terms (see our first post, “ What is a Data Mesh? ”) and how team structure supports agility.

Testing 246

Testing Data Lake Metadata Publishing 246

AWS Big Data

MARCH 17, 2023

Amazon Athena is a serverless and interactive query service that allows you to easily analyze data in Amazon Simple Storage Service (Amazon S3) and 25-plus data sources, including on-premises data sources or other cloud systems using SQL or Python. H3 divides the globe into equal-sized regular hexagons.

Visualization 91

Visualization Machine Learning Consulting Data Warehouse 91

AWS Big Data

AUGUST 3, 2023

Today’s modern data lakes span multiple accounts, AWS Regions, and lines of business in organizations. It’s important that their data solution gives them the ability to share and access data securely and safely across Regions. A resource link is a Data Catalog object that is a link to a database or table.

Data Lake 84

Data Lake Metadata Management Data Processing 84

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. Imagine a self-driving car piloted by an AGI.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

CIO Business Intelligence

NOVEMBER 29, 2023

And now, with the explosion of generative AI onto the scene and into use cases everywhere, those who persisted in understanding and investing in AI skills and supporting infrastructure and tools are being rewarded. If you’re skeptical about dipping your enterprise’s virtual toes into a metaverse, rightfully so.

Interactive 99

Interactive Recreation/Entertainment Enterprise Advertising 99

AWS Big Data

OCTOBER 25, 2023

As the scale and complexity of microservices and distributed applications continues to expand, customers are seeking guidance for building cost-efficient infrastructure supporting operational analytics use cases. Operational analytics is a popular use case with Amazon OpenSearch Service.

Analytics 119

Analytics Data Processing Optimization Metrics 119

O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. Identifying the problem.

Marketing 362

Marketing Experimentation Metrics Testing 362

Dataiku

FEBRUARY 25, 2021

When choosing a data science use case , it’s important to identify the potential business value (i.e., who will the project benefit, how will it change their current processes and habits), the level of necessary effort, and the likelihood of success (how much risk is involved).

Finance 93

Finance Data Science Risk Strategy 93

AWS Big Data

AUGUST 15, 2023

As customers accelerate their migrations to the cloud and transform their businesses, some find themselves in situations where they have to manage data analytics in a multi-cloud environment, such as acquiring a company that runs on a different cloud provider. We use Athena to run queries on data stored on Google Cloud Storage.

Recreation/Entertainment 86

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 86

O'Reilly on Data

OCTOBER 22, 2020

While we approach our questions from different angles because of our different roles, we all have the same goal in mind: we want to elicit truth and get people working with us to dig deeper into an issue. They will get to what happened, along with when and how and why. “ – Inspector Pastor in La Fée Carabine, by Daniel Pennac.

Consulting 296

Consulting Risk Cost-Benefit Modeling 296

Cloudera

APRIL 4, 2022

Vaccine development became the top priority for the life sciences industry – delivering new vaccines at unprecedented speed and maneuvering large-scale production processes. So now that we’ve experienced these advancements, how can the industry keep momentum to speed-up innovative solutions across healthcare? Maintain Momentum.

Data Lake 78

Data Lake Digital Transformation Manufacturing Sales 78

Ontotext

DECEMBER 16, 2021

Because without the right tools, searching for data in the life sciences is a lot like whale watching. Because without the right tools, searching for data in the life sciences is a lot like whale watching. Companies in the life sciences face data challenges on two fronts: Volume. Why do I bring this up?

Metadata 98

Metadata Reporting Unstructured Data Risk 98

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 100

Data Lake Sales Data Warehouse Snapshot 100

CIO Business Intelligence

OCTOBER 25, 2022

Data & Analytics is delivering on its promise. Every day, it helps countless organizations do everything from measure their ESG impact to create new streams of revenue, and consequently, companies without strong data cultures or concrete plans to build one are feeling the pressure. We discourage that thinking.

Data Strategy 143

Data Strategy Strategy Data Lake Data-driven 143

AWS Big Data

JULY 20, 2023

Apache Hive is a SQL-based data warehouse system for processing highly distributed datasets on the Apache Hadoop platform. The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table.

Data Lake 79

Data Lake Metadata Data Processing Big Data 79

O'Reilly on Data

APRIL 19, 2021

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. First, we wanted to understand how the use of AI grew in the past year. The second-most significant barrier was the availability of quality data. Executive Summary.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

CIO Business Intelligence

SEPTEMBER 11, 2023

So it is imperative the C-suite have digital literacy” not only to protect and enhance the customer value proposition but to understand new technologies and how they can be applied in their business. Yet, while there is “a high level of awareness in legacy companies on the need to do this,’’ there is “a low level of awareness on how to do it.”

Digital Transformation 135

Digital Transformation ROI Strategy Technology 135

Smart Data Collective

OCTOBER 5, 2022

All thanks to the country’s immense focus on promoting Science and Technology, Russia is known for its top-notch programming and IT services all around the world. All thanks to the country’s immense focus on promoting Science and Technology, Russia is known for its top-notch programming and IT services all around the world.

Cost-Benefit 110

Cost-Benefit Software Technology IT 110

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. 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.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

Smart Data Collective

OCTOBER 17, 2022

How can you ensure Outlook recipients open your bulk emails with severe competition? Email marketing is the most acceptable way to give precise customer data, but you must guarantee your efforts aren’t wasted. Using data analytics help your email marketing strategies succeed. Types of data analytics.

Marketing 119

Marketing Optimization Data Analytics Analytics 119

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using SQL commands familiar to many roles such as executives, business analysts, and data analysts.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

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. Our digital transformation has allowed us to be more streamlined, more agile, and more efficient. “Our Unifying analytics on a data science platform.

Data Science 94

Data Science Data Lake Cost-Benefit Digital Transformation 94

Smart Data Collective

JANUARY 9, 2023

For corporations, creating a reliable and easy-to-use corporate database is a vital part of developing and maintaining a smoothly-running operation. From keeping customer information private to ensuring that financial data is safe and secure, corporate databases can play an essential role in a corporation’s ability to succeed.

Data Science 76

Data Science Software IT 76

Cloudera

FEBRUARY 16, 2022

The extent to which we can predict how the model will classify an image given a change input (e.g. The extent to which we can predict how the model will classify an image given a change input (e.g. Each project consists of a declarative series of steps or operations that define the data science workflow. Model Visibility.

Machine Learning 82

Machine Learning Modeling Metadata Recreation/Entertainment 82

CIO Business Intelligence

MAY 23, 2022

Blame can go in many directions — such as teams lacking necessary skill sets or little-to-no collaboration among data scientists, IT and business stakeholders. 1 Watching costs spiral due to data gravity. Teams should make sure that compute resources used for training are located as close to the data as possible.

Software 95

Software Modeling Data Science Strategy 95

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields. Discover 10.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

CIO Business Intelligence

OCTOBER 17, 2023

Most recently the company launched gen AI-based services aimed at healthcare and life science organizations. AWS also builds its own low-cost AI chips ( Inferentia and Trainium ) in limited volumes; the company is using the chips internally to power its gen AI capabilities, and it is making the chips available to customers.

Marketing 144

Marketing IT Cost-Benefit Enterprise 144

CIO Business Intelligence

MAY 2, 2023

Other well-known GenAI applications can generate narrative text to summarize or query large volumes of data, generate images and video in response to descriptive phrases, or even generate complex code based on natural language questions. How can Generative AI speed innovation in retail?

Cost-Benefit 94

Cost-Benefit Sales Visualization ROI 94

Smarten

DECEMBER 3, 2023

Adopting Augmented Analytics: How to Get Started Gartner has predicted that, in the future ‘…40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ Establish a common understanding of your goals. What problems will it solve?

Analytics 40

Analytics Data Warehouse Metrics Interactive 40

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. What Is Data Interpretation?

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 91

Data Lake Data Warehouse Machine Learning Cost-Benefit 91

IBM Big Data Hub

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. Artificial intelligence (AI) is a transformative force.

Strategy 77

Strategy Business Objectives Cost-Benefit Consulting 77