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

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

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 59

Data-driven Enterprise Data Governance Data Lake 59

TDAN

APRIL 19, 2022

Introduction We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively.

Data Warehouse 72

Data Warehouse Enterprise IT Metadata 72

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. Then, you transform this data into a concise format.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Sisense

MAY 28, 2020

As enterprises demand data infrastructures that can meet this growth in real-time data — and ultimately assist with their product differentiation strategy — the pressure put on product teams is huge. Product teams are already having to manage the growing complexities that come with modern data environments.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

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

AWS Big Data

JANUARY 31, 2023

Amazon Redshift is a fully-managed, petabyte-scale data warehouse service in the AWS Cloud. The data sharing feature allows data owners to group databases, tables, and views in an Amazon Redshift cluster and share it with other Amazon Redshift clusters within or across AWS accounts.

Data Lake 78

Data Lake Data Governance Data Architecture Machine Learning 78

Ontotext

MARCH 8, 2023

Rich metadata and semantic modeling continue to drive the matching of 50K training materials to specific curricula, leading new, data-driven, audience-based marketing efforts that demonstrate how the recommender service is achieving increased engagement and performance from over 2.3 million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. the flywheel effect.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. All of this supports the use of AI.

Data Lake 87

Data Lake Metadata Cost-Benefit Data Warehouse 87

AWS Big Data

JULY 28, 2023

Organizations must comply with these requests provided that there are no legitimate grounds for retaining the personal data, such as legal obligations or contractual requirements. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tags provide metadata about resources at a glance.

Snapshot 79

Snapshot Metadata Measurement Data Warehouse 79

Alation

AUGUST 11, 2022

The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. 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. Architectures became fabrics.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

Alation

OCTOBER 21, 2021

That dirty data then corrupts analyses and forces mistakes. A frequent and periodic data cleansing strategy is. Lack of metadata. A lack of organization is another sign of a data swamp, typically driven by bad or incomplete metadata.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

AWS Big Data

FEBRUARY 1, 2023

This introduces the need for both polling and pushing the data to access and analyze in near-real time. Implementation strategy Based on these requirements, we changed strategies and started analyzing each issue to identify the solution. We also used AWS Lambda for data processing.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

Alation

DECEMBER 14, 2021

These included: Johnson & Johnson is migrating its entire enterprise data warehouse to the cloud to get better performance, reduced costs, and superior scalability. Redshift , AWS’ data warehouse that powers data exchange, provides 3x performance (3TB, 30 Tb, 100Tb dataset). In Conclusion.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

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. These include tools for metadata management (e.g.,

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 85

Cost-Benefit Metadata Optimization Management 85

Alation

AUGUST 11, 2021

The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. As Vice President of Data Governance at TMIC, Anthony has robust experience leading cloud migration as part of a larger data strategy. This underscores the importance of having a plan that fits your data strategy.

Data Governance 52

Data Governance Insurance Metadata Strategy 52

AWS Big Data

MARCH 9, 2023

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. Data loading is one of the key aspects of maintaining a data warehouse.

Slice and Dice 78

Slice and Dice Data Warehouse Metrics Metadata 78

Alation

FEBRUARY 13, 2020

Be it the stellar customer and analyst sessions at Tableau Conference in New Orleans or Forrester Data Strategy & Insights 2018 in Orlando, or the professional grade, bullet proof Alation Arena of robots at Strata Data Conference in New York or the Teradata Analytics Universe in Las Vegas, our rockstar avatar didn’t fail to impress.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. Before we jump into a methodology or even a data strategy-based approach, what are we trying to accomplish? Bergh added, “ DataOps is part of the data fabric.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Alation

FEBRUARY 20, 2020

The next stops on the MLDC World Tour include Data Transparency in Washington, Gartner Symposium/ITxpo in Orlando, Teradata Analytics Universe in Las Vegas, Tableau in New Orleans, Big Data LDN in London, TDWI in Orlando and Forrester Data Strategy & Insights in Orlando, again. Data Catalogs Are the New Black.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 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. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 66

Data Architecture Data Lake Machine Learning Data Governance 66

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Yet finding data is just the beginning.

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

JUNE 7, 2022

Today, they bridge the gap between the experts with data and everyone who needs to use data with a self-service environment; in other words, they’ve democratized data , supported by a system of record, with clear, authoritative sources and labels. Maturing our data strategy helps to accelerate our value to the customer.”.

Metadata 52

Metadata Data Strategy Strategy Data Governance 52