CIO Business Intelligence

SEPTEMBER 14, 2023

Additionally, Peterson says large language models (LLMs) are enabling Nasdaq to “create new kinds of intelligence reports for investors and corporate customers that leverage the company’s proprietary data sets and drive faster, more impactful content creation in Nasdaq’s marketing and communication teams.”

Risk Management 114

Risk Management Risk Marketing Cost-Benefit 114

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 106

IT Data Architecture Unstructured Data Big Data 106

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 109

Analytics IoT Data-driven Snapshot 109

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Every organization needs data to make many decisions.

Interactive 113

Interactive Unstructured Data Analytics Data Warehouse 113

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 84

IT Data Architecture Unstructured Data Big Data 84

AWS Big Data

MARCH 27, 2023

Businesses are using real-time data streams to gain insights into their company’s performance and make informed, data-driven decisions faster. As real-time data has become essential for businesses, a growing number of companies are adapting their data strategy to focus on data in motion.

Visualization 72

Visualization Data Lake Interactive Data-driven 72

AWS Big Data

NOVEMBER 17, 2023

Amazon Redshift is a cloud data warehousing service that provides high-performance analytical processing based on a massively parallel processing (MPP) architecture. Building and maintaining data pipelines is a common challenge for all enterprises. How does the dbt framework work with Amazon Redshift?

Snapshot 87

Snapshot Data Processing Testing Data Warehouse 87

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data.

Data Warehouse 101

Data Warehouse Reporting Risk Cost-Benefit 101

Cloudera

JUNE 2, 2021

Data pipelines are in high demand in today’s data-driven organizations. As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable.

Data Warehouse 88

Data Warehouse Machine Learning Data-driven Enterprise 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. Background: . New Features CDH to CDP. Ranger 2.0.

Testing 130

Testing Metadata Risk Data Science 130

Smart Data Collective

MARCH 21, 2022

If you are stuck with dumping data into warehouses and lakes then you are most likely not prepared for what’s coming up next. This era is changing data as we know it. Data Mesh which is the latest addition to the stack is saving data teams from the hassle of producing qualitative data for all business types.

Management 66

Management Data Lake Uncertainty Data Warehouse 66

Cloudera

NOVEMBER 5, 2020

Many organizations struggle to meet growing and variable data warehouse demands. These independent departmental IT projects threaten security and compliance for the entire organization because nobody can be sure that consistent security is maintained — most of the time, central IT is not even aware of their existence.

Data Lake 69

Data Lake Data Warehouse Metadata Optimization 69

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

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 67

Data Warehouse Cost-Benefit Metadata Management 67

Alation

NOVEMBER 17, 2022

But what does it mean for an organisation to be truly data-driven? What foundation needs to be in place at the start, and what journey does an organisation need to embrace to benefit from the forensic insights their data can reveal? This requires: Data is embedded into the processes of the organisation.

Data-driven 52

Data-driven Cost-Benefit Business Objectives Technology 52

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Cloudera

FEBRUARY 11, 2019

The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. Cloudera believes disruption persists around multi-cloud. However, we believe disruption persists around multi-cloud approaches. Why multi-cloud?

Management 42

Management Metadata Analytics Machine Learning 42

Wise Analytics

FEBRUARY 18, 2015

Last week I was part of a panel discussion with Robin Bloor of the Bloor Group and Marc Clark from Teradata to discuss the TCO of cloud analytics and the strategic benefits and challenges of cloud deployments. As organizations struggle with larger and more complex data sets, this trend will become even broader.

Marketing 40

Marketing Analytics Cost-Benefit Big Data 40

AWS Big Data

JANUARY 24, 2023

Data abstraction – Decouple and refactor underlying data structure and infrastructure. In this post, you will learn how to build a serverless analytics application using Amazon Redshift Data API and Amazon API Gateway WebSocket and REST APIs. The Data API takes care of managing database connections and buffering data.

Analytics 57

Analytics Data-driven Management Reporting 57

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

APRIL 24, 2023

The dependence on remote internet access for business, personal, and educational use elevated the data demand and boosted global data consumption. Additionally, the increase in online transactions and web traffic generated mountains of data. Enter the modernization of data warehousing solutions.

Data Warehouse 100

Data Warehouse Data Lake Cost-Benefit Enterprise 100

CIO Business Intelligence

FEBRUARY 20, 2024

Without a modern data platform and an effective supporting cloud infrastructure, organisations could be scuppering their progress from the start. Data modernisation is crucial. Data also needs to be sorted, annotated and labelled in order to meet the requirements of generative AI. This seems a formidable task.

Cost-Benefit 107

Cost-Benefit Data Lake Data Warehouse Data Integration 107

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 97

Data Warehouse Data Lake Analytics Machine Learning 97

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Cloudera

MAY 17, 2021

Making a decision on a cloud data warehouse is a big deal. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Data Warehouse 87

Data Warehouse Measurement Reporting Testing 87

AWS Big Data

MARCH 1, 2024

As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud. Only users with required permissions are allowed to access data in clear text.

Data Lake 96

Data Lake Data Warehouse Management Risk 96

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. Modern analytics is much wider than SQL-based data warehousing.

Analytics 92

Analytics Data Warehouse Testing Dashboards 92

Cloudera

MARCH 23, 2022

Please join us on March 24 for Future of Data meetup where we do a deep dive into Iceberg with CDP . Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. What is Apache Iceberg? 1: Multi-function analytics .

Metadata 88

Metadata Data Architecture Machine Learning Cost-Benefit 88

AWS Big Data

DECEMBER 8, 2023

In this post, we share how FanDuel moved from a DC2 nodes architecture to a modern Amazon Redshift architecture, which includes Redshift provisioned clusters using RA3 instances , Amazon Redshift data sharing , and Amazon Redshift Serverless. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 66

Data Warehouse Cost-Benefit KPI Risk 66

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. Key Design Goals .

Snapshot 103

Snapshot Metadata Cost-Benefit Data Architecture 103

Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. How do you take a mission-critical on-premises workload and rapidly burst it to the cloud? Can you instantly auto-scale resources as demand requires and just as easily pause your work so you don’t run up your cloud bill? Cloudera Data Platform.

Enterprise 86

Enterprise Machine Learning Recreation/Entertainment IoT 86

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift also supports querying nested data with complex data types such as struct, array, and map.

Data Lake 89

Data Lake Data Warehouse Metadata Data Architecture 89

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 89

Data-driven Data Lake Data Warehouse Cost-Benefit 89

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight. Secure, Integrated Visualizations Native to CDP.

Visualization 105

Visualization Machine Learning Dashboards Data Warehouse 105