CIO Business Intelligence

OCTOBER 25, 2023

The release of intellectual property and non-public information Generative AI tools can make it easy for well-meaning users to leak sensitive and confidential data. Once shared, this data can be fed into the data lakes used to train large language models (LLMs) and can be discovered by other users.

Enterprise 133

Enterprise Risk Manufacturing Finance 133

Cloudera

JUNE 5, 2023

RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake. Many developers use DataFlow to filter/enrich streams and ingest into cloud data lakes and warehouses where the ability to process and route anywhere makes DataFlow very effective. His submission post can be found here.

Testing 76

Testing Data Lake Data Processing IT 76

Jedox

OCTOBER 22, 2020

Too often, Finance & FP&A has been constrained by the data architecture our organizations have built (or maybe not built) over the past twenty or so years. Typically, we take our multiple data sources and perform some level of ETL on the data.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. You can also watch the webinar to learn more about Apache Iceberg and see the demo to learn the latest capabilities.

Strategy 57

Strategy Optimization Snapshot Metadata 57

Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Big data architecture is used to augment different applications, operating alongside or in a discrete fashion with a data warehouse.

Data Warehouse 54

Data Warehouse Analytics Big Data Data Architecture 54

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

erwin

JUNE 7, 2022

The first and most important thing to recognize and understand is the new and radically different target environment that you are now designing a data model for. Star schema: a data modeling and database design paradigm for data warehouses and data lakes. Business Focus. Operational. Operational Tactical.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Alation

JUNE 14, 2021

Guided Navigation Guided navigation helps data stewards locate sensitive data. This includes finding the most exposed sensitive data and ensuring it is used properly. There are many locations where sensitive data can reside — from data lakes, databases, and reports, to APIs and queries.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

DataKitchen

DECEMBER 7, 2021

This book is not available until January 2022, but considering all the hype around the data mesh, we expect it to be a best seller. In the book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Cloudera

MAY 7, 2024

Our customer is able to collect, process, and filter log data from hundreds of thousands of distributed devices, streaming that data for high-speed ingestion into a cyber data lake for analysis much more efficiently than a SIEM-only approach.

Digital Transformation 73

Digital Transformation Data-driven Data Lake Enterprise 73

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Forrester ). Gartner ).

Data Architecture 79

Data Architecture Data Lake Metadata Data Warehouse 79

Cloudera

FEBRUARY 8, 2024

The support for Apache Iceberg as the table format in Cloudera Data Platform and the ability to create and use materialized views on top of such tables provides a powerful combination to build fast analytic applications on open data lake architectures.

Snapshot 91

Snapshot Metadata Cost-Benefit Data Warehouse 91

Cloudera

MAY 19, 2021

Data Ingestion. The raw data is in a series of CSV files. We will firstly convert this to parquet format as most data lakes exist as object stores full of parquet files. On June 3, join the NVIDIA and Cloudera teams for our upcoming webinar Enable Faster Big Data Science with NVIDIA GPUs. Register Now. .

Machine Learning 138

Machine Learning Data Science Data Lake Modeling 138

Cloudera

DECEMBER 15, 2022

New capabilities such as multi-cloud deployment, ACID compliance, and enhanced multi-function analytics accelerate implementation for the multi-cloud open data lakehouse to meet ever-evolving requirements for modern data warehouse, data lake, AI/ML, data science, and more. .

Metadata 79

Metadata Data Warehouse Snapshot Data Quality 79

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

DataKitchen

OCTOBER 11, 2021

Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments. The automated orchestration published the data to an AWS S3 Data Lake. In some cases, DataOps has helped us save hours, weeks and even months of work. .

Testing 157

Testing Metadata Dashboards Statistics 157

Alation

MARCH 29, 2021

Alation helps connects to any source Alation helps connect to virtually any data source through pre-built connectors. Alation crawls and indexes data assets stored across disparate repositories, including cloud data lakes, databases, Hadoop files, and data visualization tools. Subscribe to Alation's Blog.

Metadata 59

Metadata Data-driven Enterprise Machine Learning 59

Cloudera

FEBRUARY 4, 2019

Stream Processing – Manage and process multiple streams of real-time data using the most advanced distributed stream processing system – Apache Kafka. Process millions of real-time messages per second to feed into your data lake or for immediate streaming analytics.

IoT 74

IoT Prescriptive Analytics Digital Transformation Internet of Things 74

Cloudera

APRIL 3, 2023

Thus simplifying data exploration, ETL and deriving analytical insights on any enterprise data across the Data Lake. To learn more: Replay our webinar Unifying Your Data: AI and Analytics on One Lakehouse, where we discuss the benefits of Iceberg and open data lakehouse.

Data Warehouse 82

Data Warehouse Snapshot Metadata Cost-Benefit 82

Cloudera

JUNE 4, 2018

With Cloudera Enterprise Data Hub as the foundation for data acquisition, centralization, and indexing, more intelligent applications can be built on top of it to support: insight discovery. For a deep dive into the challenges and potential of handling massive quantities of diverse content with Cloudera, join our upcoming webinar.

Unstructured Data 46

Unstructured Data Metadata Big Data Enterprise 46

In(tegrate) the Clouds

MAY 1, 2016

SnapLogic published Eight Data Management Requirements for the Enterprise Data Lake. They are: Storage and Data Formats. The company also recently hosted a webinar on Democratizing the Data Lake with Constellation Research and published 2 whitepapers from Mark Madsen. Ingest and Delivery.

Data Lake 40

Data Lake Enterprise Management Metadata 40

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. 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. The fill report is here: Leadership Vision for 2021: Data and Analytics. It really does. Great idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

erwin

AUGUST 31, 2023

It is particularly well positioned to see continued expansion in demand to mitigate the risks associated with democratization and modernization and assure the success and ROI of the strategic bets they were placing in modern data management, governance and analytics. Join our upcoming webinar for more insights! by Quest ®.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Birst BI

OCTOBER 24, 2019

To put it simply, by setting up DaaS, Birst offers a better way to democratize data without sacrificing security, governance, and control. Click here to register for November 12 webinar, where a CIO explains how flexible and secure DaaS is delivered today with Birst.

Data Warehouse 51

Data Warehouse Recreation/Entertainment Data Lake Data Architecture 51

Alation

FEBRUARY 20, 2020

“Enterprises are… turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”. In a recent webinar,“ Ready for a Machine Learning Data Catalog?

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

Cloudera

NOVEMBER 27, 2023

By democratizing access to streaming data, and bringing domain expert users into the development cycle, we help accelerate iterations on stream processing applications. This is vital when onboarding new data, or changing logic to meet evolving needs as is the case in fraud monitoring. Takeaway No.

Data Lake 81

Data Lake Advertising ROI Data Warehouse 81

Alation

FEBRUARY 17, 2023

Can you differentiate between governance of raw data and enhanced data (information)? It is not uncommon, particularly with data lakes, to have different data stores and degrees of transformation. This is the idea of having data at a raw, semi-transformed, and consumption-ready level. Where do you govern?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Jet Global

NOVEMBER 21, 2023

Continued global digitalization is creating huge quantities of data for modern organizations. To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. Since then, technology has improved in leaps and bounds and data management has become more complicated.

Data Lake 52

Data Lake Data Warehouse Reporting Enterprise 52

Jet Global

APRIL 26, 2022

Jet Reports now offers high performance connectivity with options to connect to Synapse/Azure Data Lakes, BYOD, SQL or your Cubes and Tabular models. So D365 F&SCM customers can enjoy all the reporting benefits that the GP, NAV, and BC community already have. With the release of Jet Reports 22.1,

Reporting 52

Reporting Finance Cost-Benefit Forecasting 52

Jet Global

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? How can we rapidly build BI reports on cloud ERP data without any help from IT?

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52