Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . If you are new to Cloudera Operational Database, see this blog post. In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database.

Interactive 104

Interactive Machine Learning Data Science IT 104

Cloudera

FEBRUARY 8, 2021

This revolution is just beginning to accelerate – in fact, according to a recent Applied Market Research study, the global connected car market was valued at $63.03 This revolution is just beginning to accelerate – in fact, according to a recent Applied Market Research study, the global connected car market was valued at $63.03

Machine Learning 108

Machine Learning Manufacturing Unstructured Data Data Collection 108

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

AWS Big Data

NOVEMBER 22, 2023

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams.

Statistics 131

Statistics Data Lake Optimization Data-driven 131

Cloudera

OCTOBER 15, 2021

As organizations wrangle with the explosive growth in data volume they are presented with today, efficiency and scalability of storage become pivotal to operating a successful data platform for driving business insight and value. Apache Ozone supports interoperability of the same data for various use cases.

Testing 87

Testing Measurement Optimization Metadata 87

IBM Big Data Hub

APRIL 28, 2022

Data agility, the ability to store and access your data from wherever makes the most sense, has become a priority for enterprises in an increasingly distributed and complex environment. That’s where the data fabric comes in. enterprises to minimize their time to value. Data fabric in action: Retail supply chain example.

Data Warehouse 77

Data Warehouse Metadata Forecasting Predictive Modeling 77

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! The growth in the range of data job titles is a testament to the value that these experts bring to their organizations.

Statistics 97

Statistics Metrics Visualization Finance 97

Darkhorse

DECEMBER 11, 2017

Analytics and now Data Science are trapped in the middle. A recent HBR article put it at 100% for data science projects. I suggest that there are five distinct job descriptions: SUBSCRIBE TO OUR BLOG. Data Steward – this skillset is alive and well in most organizations. That’s abysmal.

Analytics 80

Analytics Visualization Data Warehouse Data-driven 80

Sisense

JUNE 5, 2020

This is where product teams come in: creating value for customers with unique selling points (USPs) that aid in product differentiation. This is where product teams come in: creating value for customers with unique selling points (USPs) that aid in product differentiation. Horizontal vs. vertical product differentiation.

Analytics 89

Analytics Manufacturing Business Intelligence Data-driven 89

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Domino Data Lab

JUNE 15, 2021

These companies often undertake large data science efforts in order to shift from “data-driven” to “model-driven” operations, and to provide model-underpinned insights to the business. The typical data science journey for a company starts with a small team that is tasked with a handful of specific problems.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

Sisense

JANUARY 15, 2021

In Building Bridges , we focus on helping end users, app builders, and data experts select and roll out analytics platforms easily and efficiently. We live in a world driven by data. As we have previously posted, the BI group is often the department that approaches the data teams for access to an analytics solution.

Analytics 75

Analytics Data-driven Business Intelligence Visualization 75

Alation

JULY 28, 2022

There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? The cloud is no longer synonymous with risk.

Data Warehouse 69

Data Warehouse Cost-Benefit Data-driven Data Governance 69

Sisense

FEBRUARY 24, 2021

Whatever a company does, how it uses data is a key differentiator in its success or failure. Whether that data is generated internally or gathered from an external application used by customers, organizations now use on-demand cloud computing resources to make sense of the data, discover trends, and make intelligent forecasts.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Alation

APRIL 2, 2021

Three new case studies from Alation have exciting implications for the world of data management. The Time Is on My Side case studies examine major pain points for data-centric enterprises. Recently I sat down with the study authors and data scientists at Alation, Andrea Levy and Naveen Kalyanasamy.

Measurement 52

Measurement Metadata Data Science Machine Learning 52

AWS Big Data

SEPTEMBER 29, 2023

In today’s digital age, data is at the heart of every organization’s success. One of the most commonly used formats for exchanging data is XML. Analyzing XML files can help organizations gain insights into their data, allowing them to make better decisions and improve their operations.

Metadata 72

Metadata Visualization Data-driven Optimization 72

Alation

FEBRUARY 20, 2020

The energy at the conference was amazing – over 2,000 attendees and 100 vendors gathered to find our inner data heroes. Cindi Howson Wrangles a BI Bake-Off. And the Great BI Bake-Off is a perfect example: Four vendors (selected by their Gartner search popularity) took the stage in a live showdown of data viz expertise.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

Alation

APRIL 26, 2021

This is where a data dictionary and business glossary become useful for getting both your business and IT teams on the same page. What is a data dictionary? As the name suggests, a data dictionary defines and describes technical data terms. Data terms could be database schemas, tables, or columns.

IT 52

IT Machine Learning Metrics Cost-Benefit 52

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. As business processes grew more complex, the data transparency and visibility suffered.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

Cloudera

JULY 9, 2018

Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Most organizations struggle to unlock data science in the enterprise. To that end, Cloudera offers the Data Science Workbench, a collaborative, scalable, and highly extensible platform for data exploration, analysis, modeling, and visualization.

Machine Learning 42

Machine Learning Data Science Visualization Business Intelligence 42

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Alation

FEBRUARY 13, 2020

We recently announced $50M in Series C funding to supercharge our growth, cement our leadership position, and innovate so data catalogs can create even deeper and broader value than they are today. As well as our great community of over 100 customers now who want to build this data-democratized future with us.

ROI 52

ROI Data-driven Finance Data Quality 52

Sisense

MARCH 26, 2021

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

AWS Big Data

OCTOBER 31, 2024

This is a joint blog post co-authored with Martin Mikoleizig from Volkswagen Autoeuropa. Volkswagen Autoeuropa aims to become a data-driven factory and has been using cutting-edge technologies to enhance digitalization efforts. The lead time to access data was often from several days to weeks.

Digital Transformation 111

Digital Transformation Metadata Data Quality Manufacturing 111

AWS Big Data

NOVEMBER 13, 2024

This second post of a two-part series that details how Volkswagen Autoeuropa , a Volkswagen Group plant, together with AWS, built a data solution with a robust governance framework using Amazon DataZone to become a data-driven factory. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases.

Data Lake 98

Data Lake IoT Metadata Testing 98