AWS Big Data

OCTOBER 23, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a fully managed service that builds upon Apache Airflow, offering its benefits while eliminating the need for you to set up, operate, and maintain the underlying infrastructure, reducing operational overhead while increasing security and resilience. Creating a test variable.

Interactive 115

Interactive Testing Data-driven Data Lake 115

CIO Business Intelligence

DECEMBER 11, 2024

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. While its acceptable to start with manually set thresholds, the ultimate goal should be to automate them with self-learning mechanisms.

Management 111

Management Data Governance Data Science Reporting 111

datapine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

JANUARY 15, 2025

Internally, making data accessible and fostering cross-departmental processing through advanced analytics and data science enhances information use and decision-making, leading to better resource allocation, reduced bottlenecks, and improved operational performance. Eliminate centralized bottlenecks and complex data pipelines.

IoT 111

IoT Machine Learning Metadata Data-driven 111

AWS Big Data

DECEMBER 23, 2024

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that allows you to build and run production Kafka applications. MSK Replicator is a fully managed replication service that enables continuous, automated data replication between MSK clusters within the same Region or across different Regions.

Data-driven 97

Data-driven Management Risk Big Data 97

datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. Dispelling 3 Common SaaS Myths.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

Rocket-Powered Data Science

MARCH 20, 2023

Here are just 10 of the many key features of Datasphere that were covered during the launch day announcements : Datasphere works with the SAP Analytics Cloud and runs on the existing SAP BTP (Business Technology Platform), with all the essential features: security, access control, high availability. Datasphere is not just for data managers.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

O'Reilly on Data

FEBRUARY 11, 2020

Data quality solutions almost always boil down to two big issues: politics and cost. Drilling down deeper, almost two-fifths of the survey audience works in tech-laden verticals such as software, consulting/professional services, telcos, and computers/hardware (Figure 2). This could impart a slight tech bias to the results.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

Cloudera

NOVEMBER 13, 2024

Cloudera, together with Octopai, will make it easier for organizations to better understand, access, and leverage all their data in their entire data estate – including data outside of Cloudera – to power the most robust data, analytics and AI applications.

Metadata 90

Metadata Management Data Governance Data-driven 90

AWS Big Data

NOVEMBER 22, 2024

It is appealing to migrate from self-managed OpenSearch and Elasticsearch clusters in legacy versions to Amazon OpenSearch Service to enjoy the ease of use, native integration with AWS services, and rich features from the open-source environment ( OpenSearch is now part of Linux Foundation ). billion documents) was stored.

Snapshot 98

Snapshot Metadata Recreation/Entertainment Data Processing 98

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. The commercial use of predictive analytics is a relatively new thing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

AWS Big Data

DECEMBER 4, 2024

By treating data as a product, the bank is positioned to not only overcome current challenges, but to unlock new opportunities for growth, customer service, and competitive advantage. A self-serve data platform empowers domains to create, discover, and consume data products independently.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

DataKitchen

AUGUST 5, 2021

With a steady stream of requests for new data sources and new analytics, the centralized team managing the platform can quickly exceed their capacity to keep up. With large systems, it’s much harder to iterate toward a solution that addresses a user’s latent requirements. Data Mesh Architecture Example.

Enterprise 246

Enterprise Management Data Processing Analytics 246

Corinium

JUNE 6, 2019

Will you please describe your role at Fractal Analytics? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataKitchen

SEPTEMBER 20, 2021

The pipelines and workflows that ingest data, process it and output charts, dashboards, or other analytics resemble a production pipeline. According to a recent Gartner survey, data teams spend only 22% of their time on “data innovation, data monetization and enhanced analytics insights.” Figure 1: The four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

datapine

MAY 28, 2019

BI projects aren’t just for the big fishes in the sea anymore; the technology has developed rapidly, the software has become more accessible while business intelligence and analytics projects implemented in various industries regularly, no matter the shape and size, small businesses or large enterprises. Create a solid BI project plan.

Business Intelligence 317

Business Intelligence KPI Dashboards Reporting 317

AWS Big Data

NOVEMBER 26, 2024

Initially, data warehouses were the go-to solution for structured data and analytical workloads but were limited by proprietary storage formats and their inability to handle unstructured data. In practice, OTFs are used in a broad range of analytical workloads, from business intelligence to machine learning.

Metadata 105

Metadata Data Lake Snapshot Data Warehouse 105

DataKitchen

NOVEMBER 29, 2021

As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. In other words, they will use DataOps principles to build a platform that creates a robust, transparent, efficient, repeatable analytics process hub that unifies all workflows. The Great Resignation Hits Data & Analytics.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

DataKitchen

DECEMBER 30, 2020

We also want to thank all of the data industry groups that have recognized our DataKitchen DataOps Platform and Transformation Advisory Services throughout the year. The company’s platform manages the data pipeline through data engineering, data science and business analytics processes. SD Times’s Companies to Watch in 2021.

Testing 241

Testing Big Data Statistics Manufacturing 241

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Amazon Redshift scales linearly with the number of users and volume of data, making it an ideal solution for both growing businesses and enterprises.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. In our opinion, both terms, agile BI and agile analytics, are interchangeable and mean the same. Your Chance: Want to test an agile business intelligence solution? What Is Agile Analytics And BI?

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

CIO Business Intelligence

DECEMBER 3, 2024

There is no single solution to success, but the research highlights some key plays UAE business leaders need to home in on to build a truly AI-driven enterprise. Despite concerns around regulation, AI is significantly impacting the key skill sets of the future enterprise.

Enterprise 84

Enterprise Technology Data-driven Data Governance 84

AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. Your content processed by generative SQL is not stored or used by AWS for service improvement. You receive the generated SQL code suggestions within the same chat interface.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

CIO Business Intelligence

MARCH 5, 2025

But AI itself presents a solution in the form of an orchestration layer embedded with AI agents. Agentic AI is the use of systems that act with more autonomy and self-regulation than other forms of artificial intelligence. Benefits of EXLs agentic AI Unlike most AI solutions, which perform a single task, EXLerate.AI

Insurance 85

Insurance Cost-Benefit Interactive Enterprise 85

Rocket-Powered Data Science

JULY 6, 2021

Another example was in new data-driven cybersecurity practices introduced by the COVID pandemic, including behavior biometrics (or biometric analytics), which were driven strongly by the global “work from home” transition, where many insecurities in networks, data-sharing, and collaboration / communication tools have been exposed.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

CIO Business Intelligence

MARCH 25, 2025

What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics. Engineering teams also risk drowning in tangled service interactions instead of delivering new features.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

datapine

JULY 1, 2020

The self-service nature of ad hoc reporting catalyzes the report creation process by allowing end-users to work with customized reports on niche areas of the business without relying on the technical assistance of developers. Now that we’ve asked the question, ‘what is an ad hoc report?,’ Reduces the IT workload: .

Reporting 260

Reporting Dashboards Cost-Benefit Visualization 260

DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019. From an industry perspective, the topic of data fabrics is on fire.

Statistics 246

Statistics Optimization Data Analytics Technology 246

datapine

NOVEMBER 11, 2021

b) Analytics Features. With this industry having its boom in the past decade, the offer of new solutions with different features has grown exponentially making the market as competitive as ever. Thanks to real-time data provided by these solutions, you can spot potential issues and tackle them before they become bigger crises.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

datapine

JANUARY 24, 2021

However, the truth is that no matter how advanced your IT infrastructure is, your data will not provide you with a ready-made solution unless you ask it specific questions regarding data analysis. This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Ok, that’s it.

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

MARCH 11, 2025

Its about orchestrating data, digital solutions and human intelligence to optimize decision-making and unlock new opportunities. With autonomous, self-regulating AI agents, enterprises can create automated workflows that adapt to real-world business complexity and augment their human experts to boost efficiency, accuracy and innovation.

Enterprise 108

Enterprise Insurance Forecasting Optimization 108

AWS Big Data

FEBRUARY 13, 2025

Amazon SageMaker Unified Studio (preview) provides a unified experience for using data, analytics, and AI capabilities. You can use familiar AWS services for model development, generative AI, data processing, and analyticsall within a single, governed environment. They can also decide to onboard existing resources or pre-create them.

Data Analytics 72

Data Analytics Analytics Modeling Data-driven 72

CIO Business Intelligence

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. Have a data governance plan as well to validate and keep the metrics clean.

Analytics 137

Analytics Slice and Dice Metrics Sales 137

Jet Global

NOVEMBER 20, 2024

Organizations can now streamline digital transformations with Logi Symphony on Google Cloud, utilizing BigQuery, the Vertex AI platform and Gemini models for cutting-edge analytics RALEIGH, N.C. – “insightsoftware can continue to securely scale and support customers on their digital transformation journeys.”

Analytics 59

Analytics Digital Transformation Business Intelligence Data-driven 59

AWS Big Data

NOVEMBER 6, 2024

Amazon Kinesis Data Streams is a serverless data streaming service that makes it straightforward to capture and store streaming data at any scale. He is passionate about understanding customer challenges around streaming data and developing optimized solutions for them. You can realize the same cost saving benefit for your KCL 3.0

Cost-Benefit 116

Cost-Benefit Metadata Optimization Publishing 116