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 56

Optimization Strategy Data Warehouse Cost-Benefit 56

Sisense

AUGUST 4, 2021

The Sisense Q2 2021 product release is packed with exciting innovations and enhancements that offer users a more extensible experience when it comes to analytics. There’s no limit to the types of data you can fuse together in Sisense. Sisense Explanations deepens your understanding of your data. Learn more. Learn more.

Dashboards 52

Dashboards Analytics Data Warehouse Forecasting 52

AWS Big Data

MAY 17, 2023

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20. million at the end of 2022.

Data Warehouse 113

Data Warehouse Cost-Benefit Sales Data-driven 113

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 103

Data Warehouse Data Lake Analytics Machine Learning 103

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 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

AWS Big Data

DECEMBER 21, 2023

This is a guest post co-written by Alex Naumov, Principal Data Architect at smava. smava believes in and takes advantage of data-driven decisions in order to become the market leader. smava believes in and takes advantage of data-driven decisions in order to become the market leader.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. Cloud washing is storing data on the cloud for use over the internet. Storing data is extremely expensive even with VMs during this time. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Jet Global

DECEMBER 17, 2020

Tufte powerfully illustrates the impact that data visualization can have on real-world decisions. In the book, he provides a compelling example of how data visualization can lead observers to discover meaning in data that might otherwise appear too cryptic, ultimately saving countless lives as a result.

Visualization 72

Visualization Finance Reporting Sales 72

Jet Global

APRIL 5, 2021

Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. As a result, companies must be agile—poised to make quick, strategic decisions based on the latest incoming data—if they hope to succeed. However, its strength lies in its ability to smooth out data.

Modeling 98

Modeling Forecasting Metrics Finance 98

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 92

Data Lake Data Warehouse Machine Learning Cost-Benefit 92

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 84

Data Lake Data Warehouse Machine Learning Cost-Benefit 84

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics.

Data Warehouse 73

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 73

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 69

Data Warehouse Cost-Benefit KPI Risk 69

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021. The fill report is here: Leadership Vision for 2021: Data and Analytics.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 109

Data Lake IT Experimentation Data-driven 109

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Jet Global

NOVEMBER 15, 2021

If the technological enhancements entail the procurement of better data, then it can help support the organization’s tax positions. Good quality data can help the organization avoid audit adjustments. Data flow, proper use of technology and resources, and matching the right workers to the right task. Centralized Data.

Metrics 52

Metrics Reporting KPI Risk Management 52

Alation

DECEMBER 14, 2021

Alation recently attended AWS re:invent 2021 … in person! Unburdening IT from infrastructure management has driven an amazing transformation; today, mission-critical applications run across 80 regions in the world, using thousands of services on over 475 instance types. Re:Invent 2021 Keynote by AWS CEO Adam Selipsky.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

CIO Business Intelligence

APRIL 6, 2022

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. According to IDC estimates , there will be 55.7

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 81

Management Metadata Data Architecture Data Lake 81

Cloudera

AUGUST 27, 2021

With submissions for the Data Impact Awards coming in, we’re revisiting last year’s winners to find out what set them apart. . The organization was locked into a legacy data warehouse with high operational costs and inability to perform exploratory analytics. To learn more about Telkomsel’s work with Cloudera visit: [link].

B2B 85

B2B Digital Transformation Cost-Benefit Big Data 85

Smart Data Collective

OCTOBER 17, 2022

Businesses are producing more data year after year, but the number of locations where it is kept is increasing dramatically. This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few.

Big Data 104

Big Data Data-driven Recreation/Entertainment Data Governance 104

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. A sample data warehousing project.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? billion by the end of 2021. Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 2) Top 10 Necessary BI Skills. million in the USA alone.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

NOVEMBER 14, 2023

Data is a key strategic asset for every organization, and every company is a data business at its core. However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

CIO Business Intelligence

APRIL 25, 2022

By George Trujillo, Principal Data Strategist, DataStax. Similarly, many organizations have built data architectures to remain competitive, but have instead ended up with a complex web of disparate systems which may be slowing them down. The challenge of data silos. Aligning data. Think about your favorite recipe.

Data Architecture 94

Data Architecture Digital Transformation Data-driven Strategy 94

CIO Business Intelligence

NOVEMBER 8, 2022

Christina Scott: I joined Ovo, the UK’s third largest energy supplier, in September 2021 as chief product and technology officer. I have mainly focussed on leading companies through digital transition and becoming more data driven. An example is in the data space. CIO, Energy Industry

Snapshot 52

Snapshot Digital Transformation Data Warehouse Data-driven 52

Cloudera

OCTOBER 13, 2021

MB of data per second in 2020. That’s a lot of data. For enterprises the net result is an intricate data management challenge that’s not about to get any less complex anytime soon. Enterprises need to find a way of getting insights from this vast treasure trove of data into the hands of the people that need it.

ROI 96

ROI Optimization Data Warehouse Data-driven 96

erwin

MAY 2, 2022

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

Cloudera

DECEMBER 2, 2020

The Industry Transformation category at our Data Impact Awards celebrates these organizations— the ones that have looked digital transformation in the eye and said “bring it on!” . It serves more than 158 million customers, of which 104 million are users of data, creating more than 10 billion customer activities in a day.

Digital Transformation 65

Digital Transformation Cost-Benefit Data-driven Data Science 65

Cloudera

DECEMBER 14, 2020

If there’s one thing enterprises have learned in 2020, it’s how to navigate through uncertain times, and in 2021, organizations will likely have to continue navigating through a shifting landscape. Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics. Why upgrade to CDP now?

Big Data 70

Big Data Data-driven Data Collection Enterprise 70

CIO Business Intelligence

MAY 10, 2022

Customer data platform defined. A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. Customer data platform benefits. Types of CDPs.

Advertising 104

Advertising Interactive Marketing Data Integration 104

Cloudera

MARCH 22, 2022

Against that backdrop, Mergers and Acquisitions (M&A) activity has surged since 2021 as companies are trying to take advantage of the current environment and adapt to the new business realities shaped by the global pandemic. data engineering, data warehousing etc.);

Strategy 80

Strategy Cost-Benefit Risk Data Processing 80

BI-Survey

FEBRUARY 23, 2023

“Data culture eats data strategy for breakfast” has become a popular saying among data and analytics managers and executives. Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it. the information available on data and the skills required to use it).

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84