Cloudera

MAY 9, 2023

New Data Lakehouse Enables Stronger Data Governance SoftBank needed to reduce the number of workloads on its existing platform and decided to adopt Cloudera to build a data lake capable of managing data more effectively. We believe these new data analysis capabilities will boost what we can offer to our customers.”

Data Lake 89

Data Lake IoT Data Governance Data Strategy 89

Cloudera

MARCH 28, 2024

Modern data architecture: A flexible approach is critical for building a modern architecture, with IT leaders recognizing the importance of data lakes or lakehouses for managing the large volumes of unstructured and semistructured data required for AI model training.

Data Architecture 92

Data Architecture Strategy Data Lake Data-driven 92

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy.

Data Lake 81

Data Lake Metadata Cost-Benefit Data Warehouse 81

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Analytics 109

Analytics Data Lake Unstructured Data Enterprise 109

Cloudera

JANUARY 30, 2024

Simply put, many organizations fail to realize the value of AI because they rely on AI tools and data science that is being applied to data which is faulty to begin with. Trusted AI begins with trusted data What resolves the data challenge and fuels data-driven AI in manufacturing? Eliminate data silos.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

Cloudera

APRIL 4, 2022

While challenges exist in data interoperability, privacy controls, ongoing compliance initiatives, etc, the industry has proven speed is possible despite these obstacles. . The usage of data lakes and automation are helping facilitate the data sharing and collaboration across the healthcare ecosystem.

Data Lake 79

Data Lake Digital Transformation Manufacturing Sales 79

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. With persistent context across analytics and cloud environments, SDX simplifies data delivery and access with a unified multi-tenant model.

Metadata 81

Metadata Data Lake Optimization Modeling 81

BizAcuity

APRIL 14, 2022

Netflix uses big data to make decisions on new productions, casting and marketing and generate millions in revenue through successful and strategic bets. Data Management. Before building a big data ecosystem, the goals of the organization and the data strategy should be very clear. Enterprise Big Data Strategy.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Integrating data across this hybrid ecosystem can be time consuming and expensive. The volume of data assets.

Data-driven 57

Data-driven Enterprise Data Governance Data Lake 57

AWS Big Data

MARCH 23, 2023

For this blog our “primary” workgroup is using Athena engine version 3. Data producer setup In this section, we present the steps to set up the data producer. Register the S3 path storing the table using Lake Formation We register the S3 full path in Lake Formation: Navigate to the Lake Formation console.

Interactive 71

Interactive Snapshot Data Lake Software 71

BizAcuity

MAY 16, 2022

For business intelligence to work out for your business – Define your data strategy roadmap. Your data strategy and roadmap will eventually lead you to a BI strategy. So, make sure you have a data strategy in place. Data mining. Do let us know if you found the blog useful in the comments.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

Alation

DECEMBER 14, 2021

How do you provide access and connect the right people to the right data? AWS has created a way to manage policies and access, but this is only for data lake formation. What about other data sources? In summary, AWS powers next-generation analytics with the best of both data lakes and purpose-built data stores.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Cloudera

SEPTEMBER 8, 2021

CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade. Our upcoming webinar is centered on how an integrated data platform supports the data strategy and goals of becoming a data-driven company.

Data Lake 77

Data Lake Enterprise Data-driven Data Strategy 77

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . Assumptions.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . The result has been an extraordinary volume of data redundancy across the business, leading to disaggregated data strategy, unknown compliance exposures, and inconsistencies in data-based processes. .

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Cloudera

SEPTEMBER 10, 2020

With that in mind, the agency uses open-source technology and high-performance hybrid cloud infrastructure to transform how it processes demographic and economic data with an Enterprise Data Lake (EDL). This confidence and trust is key to enabling them to use data to its fullest potential and generating business value. .

IT 104

IT Digital Transformation Business Objectives Data-driven 104

TDAN

MARCH 19, 2019

Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way.

Management 84

Management Data Lake Data Warehouse Analytics 84

BizAcuity

SEPTEMBER 5, 2022

Inability to get player level data from the operators. It does not make sense for most casino suppliers to opt for integrated data solutions like data warehouses or data lakes which are expensive to build and maintain. They do not have a single view of their data which affects them. The Data Strategy.

Visualization 98

Visualization Analytics Data Warehouse Consulting 98

BizAcuity

APRIL 1, 2023

Data governance and security measures are critical components of data strategy. Data strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations. Data is susceptible to breach due to a number of reasons.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Cloudera

SEPTEMBER 2, 2020

Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX). Implement an infrastructure-agnostic enterprise hybrid cloud data strategy by incorporating CDP Private Cloud and CDP Public Cloud.

Cost-Benefit 67

Cost-Benefit Data Warehouse Data Lake Machine Learning 67

Sisense

JULY 6, 2021

To drive this point home, Yonatan Dolan, an Analytics Specialist from AWS, introduced AWS’ new Lake House architecture. This cutting-edge service integrates the abilities of a data lake, a data warehouse, and purpose-built stores, to enable unified governance and easy data movement.

Data Lake 52

Data Lake Data Warehouse Data-driven Unstructured Data 52

BizAcuity

JANUARY 31, 2023

Data governance and security measures are critical components of data strategy. Data strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations. Data is susceptible to breach due to a number of reasons.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

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

Alation

JANUARY 10, 2023

These are companies that have tried to make something resembling a data catalog themselves — e.g., using business glossaries, spreadsheets, and other systems — but they have recognized problems with this method. Starting a data strategy journey. Acting on and making use of data. Subscribe to Alation's Blog.

ROI 52

ROI Data Lake Strategy Data-driven 52

Peter James Thomas

APRIL 9, 2019

This is the second year in which I have produced a retrospective of my blogging activity. How to Spot a Flawed Data Strategy. What alarm bells might alert you to problems with your Data Strategy ; based on the author’s extensive experience of both developing Data Strategies and vetting existing ones.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

Sisense

NOVEMBER 12, 2020

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

IBM Big Data Hub

MARCH 14, 2024

Whether it’s for ad hoc analytics, data transformation, data sharing, data lake modernization or ML and gen AI, you have the flexibility to choose.  Start modernizing your data infrastructure by trying and purchasing IBM solutions directly from IBM and the AWS Marketplace. 

Cost-Benefit 79

Cost-Benefit Metadata Optimization Management 79

DataRobot Blog

OCTOBER 3, 2017

This highlights the two companies’ shared vision on self-service data discovery with an emphasis on collaboration and data governance. 2) When data becomes information, many (incremental) use cases surface. 3) Data professionals come in all shapes and forms.

Data Lake 52

Data Lake Data Architecture Advertising Insurance 52

Data Virtualization

NOVEMBER 17, 2022

The idea seems, on the face of it, easy to understand: a data catalog is simply a centralized inventory of the data assets within an organization. Data catalogs also seek to be the. The post Choosing a Data Catalog: Data Map or Data Delivery App?

Data Integration 59

Data Integration Management Data Lake IT 59

Cloudera

JULY 26, 2021

As a result, data platforms need to deliver multiple product attributes and features rather than focusing on a particular analytical output or intermediate analytical stage (e.g., data warehousing). The post Five Strategies to Accelerate Data Product Development appeared first on Cloudera Blog. Conclusion.

Strategy 117

Strategy Data Science Marketing Unstructured Data 117

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. That combination of MiNiFi, NiFi, Kafka, and Flink is what makes for a true data-in-motion platform and empowers companies with the ability to ingest, scale, and process data in real-time.

Enterprise 61

Enterprise Data Lake Strategy Metadata 61

Alation

AUGUST 11, 2022

Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. ET at Gartner D& Summit in Orlando for our presentation, Alation: Helping Regeneron Power Drug Discoveries with Active Data Governance.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

AWS Big Data

FEBRUARY 27, 2023

Data sharing is becoming an important element of an enterprise data strategy. AWS services like AWS Data Exchange provide an avenue for companies to share or monetize their value-added data with other companies. They also need to ensure that data is of high quality.

Enterprise 87

Enterprise Publishing Data Lake Management 87