datapine

NOVEMBER 27, 2019

We all gained access to the cloud. Data quality management is not only uprising in the BI trends 2020, but also growing to a crucial practice to adopt by companies for the sake of their initial investments. 2) Data Discovery/Visualization. 2) Data Discovery/Visualization. Data exploded and became big. 8) Mobile BI.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

APRIL 15, 2020

Through agile adoption, organizations are seeing a quicker return on their BI investments and are able to quickly adapt to changing business needs. You may find different versions of this to adopt but the underlying methodology is the same. You need to determine if you are going with an on-premise or cloud-hosted strategy.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. While IoT was a prominent feature of buzzwords 2019, the rapid advancement and adoption of the internet of things is a trend you cannot afford to ignore in 2020.

Technology 279

Technology Internet of Things IT IoT 279

datapine

MAY 21, 2019

Generally, we find small organizations are early adopters and have the highest estimates of BI success,” said Howard Dresner , founder, and chief research officer at Dresner Advisory Services. Though BI has helped countless companies make smarter, data-driven decisions, it has yet to gain universal adoption. There may be push back.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

AWS Big Data

DECEMBER 4, 2024

This blog post will explore how zero-ETL capabilities combined with its new application connectors are transforming the way businesses integrate and analyze their data from popular platforms such as ServiceNow, Salesforce, Zendesk, SAP and others. For Instance Name , enter ServiceNowInstance (created as part of the prerequisites).

Data Integration 115

Data Integration Data Lake Statistics Data-driven 115

DataKitchen

SEPTEMBER 20, 2021

An essential part of the DataOps methodology is Agile Development , which breaks development into incremental steps. Figure 2: The DataKitchen Platform helps you reduce time spent managing errors and executing manual processes from about half to 15%. Figure 2 below shows the number of tests associated with each step in a data pipeline.

Testing 246

Testing Metrics Measurement Dashboards 246

IBM Big Data Hub

SEPTEMBER 5, 2023

This is part four in a five-part series on mainframe modernization. The secret to mainstreaming the mainframe into today’s modern, cloud-centric IT environments is to make the experience of working with the mainframe like the experience of working off the mainframe—especially the developer experience (DX).

Software 120

Software Testing Interactive Digital Transformation 120

Cloudera

OCTOBER 13, 2020

Recently, my colleague published a blog build on your investment by Migrating or Upgrading to CDP Data Center , which articulates great CDP Private Cloud Base features. This blog focuses on the process to accelerate your CDP journey to CDP Private Cloud Base for both professional services engagements and self-service upgrades.

Risk 114

Risk Software Management Publishing 114

Cloudera

APRIL 21, 2021

In this blog, we discuss our journey to CDP for this critical cluster. The most important step in a successful upgrade to CDP Private Cloud Base is understanding your environment. While our team has always been quick to adopt new Cloudera products, we have not been similarly fast with our infrastructure. Aging infrastructure.

Testing 121

Testing Data Processing Interactive Data Warehouse 121

Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). It has brought a lot of data to the cloud in recent years. AWS SaaS: When to use it? Management of data.

Cost-Benefit 138

Cost-Benefit Data Lake Software Machine Learning 138

datapine

AUGUST 7, 2019

If you’re part of a growing SaaS company and are looking to accelerate your success, leveraging the power of data is the way to gain a real competitive edge. This can be done with the help of modern cloud BI tools. 2) Vision. That’s where SaaS dashboards enter the fold. Speedy integration. Customer lifetime value.

Dashboards 168

Dashboards Management KPI Cost-Benefit 168

Cloudera

SEPTEMBER 21, 2021

With 100s of open source operators, Airflow makes it easy to deploy pipelines in the cloud and interact with a multitude of services on premise, in the cloud, and across cloud providers for a true hybrid architecture. . They were already part of Airflow 1.x x but starting with Airflow 2.x airflow db init.

Data Processing 99

Data Processing Testing Machine Learning Management 99

datapine

NOVEMBER 5, 2019

Studies suggest that businesses that adopt a data-driven marketing strategy are likely to gain an edge over the competition and in turn, increase profitability. You need to report on your performance, no matter the industry or department you’re a part of. Another crucial part of a successful business is the support team.

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

CIO Business Intelligence

AUGUST 22, 2024

Those were among the questions that IDC recently asked a variety of enterprise security leaders as part of a project to understand approaches to organizing security functions today. Finding 2: Security team focus varies widely What, exactly, does each security team within an organization do? The answer, it turns out, varies widely.

Management 122

Management Reporting Risk Marketing 122

Smart Data Collective

JUNE 6, 2021

Google BigQuery is a service (within the Google Cloud platform (GCP)) implemented to collect and analyze big data (also known as a data warehouse). BigQuery, as a part of GCP, provides users with a substantial list of services and applications for managing data and workflow. Big data analytics advantages. What is Google BigQuery?

Big Data 137

Big Data Data Analytics Analytics Cost-Benefit 137

IBM Big Data Hub

SEPTEMBER 20, 2023

FMs address two key challenges that have kept enterprises from scaling AI adoption. By ingesting vast amounts of unlabeled data and using self-supervised techniques for model training, FMs have removed these bottlenecks and opened the avenue for widescale adoption of AI across the enterprise. What are large language models?

Modeling 83

Modeling Enterprise Software Data Science 83

IBM Big Data Hub

MAY 23, 2024

As your organization’s data footprint expands across the clouds and between your own business lines to drive value, it is essential to secure data at all stages of the cloud adoption and throughout the data lifecycle. Data is the lifeblood of every organization. The answer is through a data security broker.

Risk 87

Risk Cost-Benefit Management Strategy 87

erwin

MARCH 5, 2020

Innovation management is about quickly and effectively implementing your organization’s goals through the adoption of innovative ideas, products, processes and business models. Envision a scenario in which you’re part of the EA team at an energy company with 30,000 wind turbines. Under design. Does not exist (or is covered by IT).

Digital Transformation 133

Digital Transformation Enterprise Management Modeling 133

datapine

AUGUST 21, 2019

2) Sales Target (Actual Revenue vs Forecasted Revenue). 45% of today’s businesses run at least some of their big data workloads in the cloud. Cloud-based visual analytics tools will propel your business forward, helping you take charge of your sales strategies and get ahead of the competition.

Sales 235

Sales Dashboards Visualization KPI 235

erwin

APRIL 30, 2021

The top priority became mobility through a cloud-first strategy. By evaluating and deploying the right combination of cloud-based platforms and security tools, enterprise architects played a key role in keeping businesses up and running in a remote-work world. Priority 2: The Application Portfolio. And when are they available?

Enterprise 131

Enterprise Digital Transformation Risk Management Risk 131

AWS Big Data

MAY 4, 2023

Over the last decade, we’ve seen a surge in data science frameworks coming to fruition, along with mass adoption by the data science community. In this post, we show you how to deploy a custom AWS Cloud Development Kit (AWS CDK) solution that extends Dask’s functionality to work inter-Regionally across Amazon’s global network.

Data Processing 122

Data Processing Metadata Informatics Interactive 122

Cloudera

FEBRUARY 18, 2021

There are also concerns about what new regulation may be enacted to oversee cloud service providers both in general, and in regulated industries. . Trend #1: Expanded Use of ML/AI as Part of Digital Acceleration. Trend #1: Expanded Use of ML/AI as Part of Digital Acceleration. Trend #3: Cloud Considerations.

Insurance 105

Insurance Digital Transformation Data-driven Risk 105

Smart Data Collective

SEPTEMBER 22, 2021

But even with the changing dynamics of the internet with its adoption rate reaching records, one characteristic of this landscape remains unchanged. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. But here is the most troubling part.

Statistics 133

Statistics Risk Measurement Software 133

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies. Introduction.

Strategy 119

Strategy Data Science Unstructured Data Marketing 119

Sisense

NOVEMBER 26, 2019

Your company might still have legacy machines on-premises, while leveraging any number of cloud storage solutions in parallel. Enabling data-driven decisions throughout the company (not just in certain departments or teams) 2. There’s only one term we need to bring up here: cloud. It’s all going to one place today: the cloud.

Digital Transformation 93

Digital Transformation Data-driven ROI Software 93

AWS Big Data

SEPTEMBER 11, 2024

This blog post is co-written with Hardeep Randhawa and Abhay Kumar from HPE. Their large inventory requires extensive supply chain management to source parts, make products, and distribute them globally. 2 GB into the landing zone daily. This complex process involves suppliers, logistics, quality control, and delivery.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

IBM Big Data Hub

DECEMBER 11, 2023

With the rapid advancements in cloud computing, data management and artificial intelligence (AI) , hybrid cloud plays an integral role in next-generation IT infrastructure. As an initial step, business and IT leaders need to review the advantages and disadvantages of hybrid cloud adoption to reap its benefits.

Cost-Benefit 101

Cost-Benefit Data Processing Strategy Software 101

IBM Big Data Hub

JUNE 13, 2022

The adoption of AI is driven by its utility and the improvements in efficiency it creates. Trustworthy outcomes are critical for all AI systems, particularly in high-risk contexts, and this is a key factor in why the market for responsible AI solutions is expected to double in size in 2022 [2]. 2] [link]. [3] References. [1]

Risk 98

Risk Risk Management Data-driven Metrics 98

IBM Big Data Hub

FEBRUARY 26, 2024

IT resilience is also threatened by natural disasters, user error, infrastructure failure, cloud transitions, and more. But with automated lineage from MANTA, financial organizations have seen as much as a 40% increase in engineering teams’ productivity after adopting lineage. How did it get there?

Cost-Benefit 90

Cost-Benefit Metadata Data Governance Reporting 90

Cloudera

DECEMBER 16, 2020

It includes Apache HBase and Phoenix as part of the platform. These two components are provided in 3 form-factors: For on-prem deployments, they are available in a manner similar to CDH & HDP (within the CDP Private Cloud offering). Today, it supports many topologies including: Fan-in . Bi-directional. database) or table level.

Big Data 80

Big Data Management IT 80

datapine

NOVEMBER 15, 2022

2) Types Of Product Metrics. As a PM, collecting information about your product performance, its features, the market adoption, etc., Another trap executives often fall into is the monitoring of an ever-growing number of indicators (for the fear of missing something), which might very well cloud their vision. Table of Contents.

Metrics 141

Metrics KPI Measurement Dashboards 141

Andrew White

MARCH 18, 2022

He focused on cloud computing or compute and said that, if elastic and easily accessible, it would become ubiquitous and even a commodity. Yes, compute is a near commodity with cloud computing, but what you decide to compute is what drives competition and innovation, but the size of your compute. But it was a trick. What is missing?

Consulting 104

Consulting Strategy Marketing Digital Transformation 104

AWS Big Data

JULY 30, 2024

2) Set up automatic provisioning of users and groups in AWS IAM Identity Center You are now able to set up automatic provisioning of users from Okta into IAM Identity Center. For Step 2: Select permission sets choose Create permission set to open a new tab that steps you through the three sub-steps involved in creating a permission set.

Metadata 115

Metadata Dashboards Data-driven Management 115

IBM Big Data Hub

APRIL 10, 2024

IDC estimates that 750 million cloud native will be built by 2025. The reality is that application landscapes are complex, and they challenge enterprises to maintain and modernize existing infrastructure, while delivering new cloud-native features. How can you keep innovating consistently while delivering value?

Cost-Benefit 88

Cost-Benefit Software Risk Marketing 88

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Phase 2: Pre-upgrade. OS – RHEL/CentOS/OEL 7.6/7.7/7.8

Testing 132

Testing Metadata Risk Data Science 132

Cloudera

DECEMBER 8, 2020

As part of our ongoing commitment to supporting Government regulations and standards in our enterprise solutions, including data protection, Cloudera recently introduced a version of our Cloudera Data Platform, Private Cloud Base product (7.1.5 Bringing FIPS 140-2 to CDP Private Cloud. A More Secure Data Platform.

IoT 66

IoT Enterprise Data Architecture Interactive 66

IBM Big Data Hub

DECEMBER 19, 2023

As enterprises embrace cloud native and everything as code, the journey from code to production has become a critical aspect of delivering value to customers. Pathway to deploy roadmap To realize an accelerated pathway to deploy, there are several moving parts and stakeholders that must come together.

Testing 74

Testing Enterprise Modeling Software 74