Rocket-Powered Data Science

FEBRUARY 15, 2023

I suggest that the simplest business strategy starts with answering three basic questions: What? That is: (1) What is it you want to do and where does it fit within the context of your organization? (2) Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Cloudera

NOVEMBER 13, 2024

Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights. The post Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate appeared first on Cloudera Blog.

Metadata 90

Metadata Management Data Governance Data-driven 90

datapine

MAY 31, 2022

1) What Is Cloud Computing? 2) The Challenges Of Cloud Computing. 3) Cloud Computing Benefits. 4) The Future Of Cloud Computing. Everywhere you turn these days, “the cloud” is being talked about. It is clear that utilizing the cloud is a trend that continues to grow – and will long into the future.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Cloudera

JANUARY 7, 2025

In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience.

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

O'Reilly on Data

NOVEMBER 28, 2023

We wanted to find out what people are actually doing, so in September we surveyed O’Reilly’s users. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed. Generative AI users represent a two-to-one majority over nonusers, but what does that mean?

Enterprise 344

Enterprise Testing Modeling Reporting 344

AWS Big Data

DECEMBER 4, 2024

While traditional extract, transform, and load (ETL) processes have long been a staple of data integration due to its flexibility, for common use cases such as replication and ingestion, they often prove time-consuming, complex, and less adaptable to the fast-changing demands of modern data architectures. What is zero-ETL?

Data Integration 114

Data Integration Data Lake Statistics Data-driven 114

erwin

OCTOBER 8, 2020

More and more companies are looking at cloud migration. So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. Automated Cloud Migration. Historically, moving legacy data to the cloud hasn’t been easy or fast.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

datapine

MAY 14, 2019

So, what makes the best book for data science? “Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. At present, around 2.7 Exclusive Bonus Content: The top books on data science summarized! Wondering which data science book to read?

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

Cloudera

JANUARY 7, 2025

Tell me about what you were trying to build or replace or accomplish. What’s the reason for data? I want to get people to think of not what has happened but what could happen. To dive into the problem, we had to uncover what that means for him. What size planes are they? What did that look like?

Predictive Modeling 81

Predictive Modeling Modeling Forecasting Data-driven 81

AWS Big Data

NOVEMBER 14, 2024

The landscape of big data management has been transformed by the rising popularity of open table formats such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. For more information about the table protocol versions, refer to What is a table protocol specification? in Delta Lake public document. Appendix 1.

Metadata 121

Metadata Data Warehouse Big Data Data Lake 121

DataKitchen

AUGUST 13, 2021

In the example shown, one group has an on-premise toolchain, and the others use Google Cloud Platform (GCP), Azure, and Amazon Web Services (AWS). Another R&D team in California builds their analytics on an Azure cloud platform using other tools like Databricks and other very large databases.

Testing 246

Testing Dashboards Marketing Measurement 246

datapine

MAY 9, 2019

Exclusive Bonus Content: Do you know what is BI all about? By gaining the ability to understand which datasets are relevant to particular goals, strategies, and initiatives in your organization, you’ll be able to identify trends or patterns that will help you make significant improvements in a number of key areas within the organization.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? What Is Data Quality Management (DQM)? But first, let’s define what data quality actually is. What is the definition of data quality? Table of Contents. 2) Why Do You Need DQM? 3) The 5 Pillars of DQM. 4) Data Quality Best Practices. 5) How Do You Measure Data Quality?

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

DECEMBER 4, 2019

Predictive Analytics: What could happen? Prescriptive Analytics: What should we do? These analytics use optimization and simulation algorithms to advise on possible outcomes and answer: “What should we do?” At their best, prescriptive analytics predicts not only what will happen, but also why it will happen.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

CIO Business Intelligence

MARCH 29, 2022

For the conference keynote, Foundry (formerly IDG Communications) welcomes Corey Quinn , chief cloud economist at the Duckbill Group, where he speaks with Scott Carey on innovation and cost – the ability to have your cake and expense it too. The CIO Boardroom will delve into what successful cloud strategies look like.

Enterprise 111

Enterprise Data Processing Strategy Statistics 111

CIO Business Intelligence

FEBRUARY 10, 2023

Consumers have high expectations for digital experiences in online banking, email, cloud storage, video on demand (VoD), smart digital assistants, and virtual reality. What will be common among them will be the need to grant or restrict access to resources according to security criteria. Multi-cloud is the future of enterprise IT.

IT 122

IT Digital Transformation Manufacturing Software 122

Smart Data Collective

SEPTEMBER 8, 2021

The data is initially extracted from a vast array of sources before transforming and converting it to a specific format based on business requirements. Before you understand what is ETL tool , you need to understand the ETL Process first. The extracted data is then stored in a staging area where further transformations are carried out.

Data Warehouse 126

Data Warehouse Data Integration Marketing Software 126

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. This is something that you can learn more about in just about any technology blog. This is something that you can learn more about in just about any technology blog. Data is useless without the opportunity to visualize what we are looking for.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

IBM Big Data Hub

MAY 17, 2023

For customers who run their operations on SAP, this means modernizing to a cloud ERP platform that supports greater flexibility and agility. However, this is a complex transformation and organizations need guidance on accelerating time to value. This is why we put in place [IBM Cloud for SAP].”

Consulting 114

Consulting ROI Manufacturing Management 114

Cloudera

APRIL 22, 2022

This blog post was written by Dean Bubley , industry analyst, as a guest author for Cloudera. . Part of this emphasis extends to helping enterprises deal with their data and overall cloud connectivity as well as local networks. At the same time, operators are also becoming more data- and cloud-centric themselves.

Enterprise 134

Enterprise Internet of Things Manufacturing Management 134

datapine

SEPTEMBER 27, 2022

We have already given you our top data visualization books , top business intelligence books , and best data analytics books. Now it’s time to ponder over our hand-picked list of the 20 best SQL learning books available today. SQL isn’t just for database administrators (DBAs). Feeling inspired? Let’s look at our 20 best books for SQL.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Cloudera

JUNE 1, 2021

Cloudera will become a private company with the flexibility and resources to accelerate product innovation, cloud transformation and customer growth. It also means we can complete our business transformation with the systems, processes and people that support a new operating model. . Hybrid cloud matters. Our strategy.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

erwin

SEPTEMBER 10, 2020

Not everyone understands what end-to-end data lineage is or why it is important. In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time. What are the transformation rules? Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

datapine

JANUARY 31, 2022

Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was. What Are The Benefits of Business Intelligence? Whichever unit they impact, they can transform your organization and way to do business deeply.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Cloudera

OCTOBER 1, 2020

Since 2013 the UK Government’s flagship ‘Cloud First’ policy has been at the forefront of enabling departments to shed their legacy IT architecture in order to meaningfully embrace digital transformation. The first is cloud concentration risk. Whilst two of the big three have UK data centres – what happens if they go down?

Data Processing 127

Data Processing Uncertainty Digital Transformation Risk 127

Domino Data Lab

APRIL 29, 2021

Two examples of novel deep net architectures reviewed below both borrow heavily from the concepts of transformers and BERT-like models that lend themselves so well to transfer learning, however, they do so in a way that can be generalized to other applications like computer vision. Let’s start with the themes. Practitioners take heart.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

Timo Elliott

JANUARY 5, 2022

This is a English translation of an article by Thérèse van Bellinghen that first appeared on the SAP News Blog. . They discussed how medium and small sized enterprises should handle the digital transformation, and the concrete roles of Data Protection Officers and Innovation Evangelists during this process.

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Data Science 115

Cloudera

MARCH 24, 2022

Across APAC too, telcos are looking at the shift to becoming technology companies, and last week’s TMForum Leadership Summit “ The Tech Driven Telco ” sought to unpack what that meant. . What are the Challenges and Opportunities in Telco Transformation? . Another key topic was that of innovation.

Internet of Things 124

Internet of Things IoT Enterprise Data-driven 124

CIO Business Intelligence

SEPTEMBER 12, 2023

Protecting the Enterprise So, what can security professionals do to properly safeguard the use of Generative AI tools by their employees? Symantec Enterprise Cloud enables our customers to enforce their specific Generative AI policies. Please see our Symantec Enterprise Blog and our Generative AI Protection Demo for more details.

Risk 131

Risk Enterprise Software Marketing 131

Cloudera

AUGUST 17, 2022

?. What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in.

Analytics 116

Analytics Data-driven Machine Learning Data Science 116

erwin

NOVEMBER 28, 2019

Collaborate with all stakeholders on innovation and transformation initiatives. Roles and titles will continue to evolve to meet new challenges in the face of digital transformation. In the era of data-driven business, such perspective is critical. IT has graduated from a support department to a proactive, value-driving function.

Enterprise 145

Enterprise Data-driven Data Governance Metadata 145

Cloudera

AUGUST 13, 2021

What should IT leaders consider when planning their data needs? A global oil and gas company collects, transforms, and distributes over hundreds terabytes of desktop, server, and application log data to their SIEM per day. What product can help collect events only? Let’s transform the first mile of the data pipeline.

Analytics 111

Analytics Data Lake Unstructured Data Data Strategy 111

AWS Big Data

OCTOBER 12, 2023

EMR Serverless automatically scales resources up and down to provide just the right amount of capacity for your application, and you only pay for what you use. On the Cloud Formation console, provide a stack name and accept the defaults to create the stack. This API step waits for Application creation to complete.

Big Data 134

Big Data Data-driven Management Visualization 134

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Testing 246

Testing Metrics Measurement Dashboards 246

erwin

FEBRUARY 13, 2020

What Is Metadata? Quicker Project Delivery – Acceleration of Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc. When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

Cloudera

MAY 4, 2022

AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction. Inventory systems make note of what is being replenished and, with the assistance of data analytics, predict when to order more and how frequently. .

Internet of Things 130

Internet of Things Cost-Benefit Insurance Data-driven 130

DataKitchen

JULY 27, 2023

We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure. Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130