Andrew White

OCTOBER 22, 2021

Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Portfolio Planning/Optimization 5. Data Management Infrastructure/Data Fabric 5. Data Integration tactics 4. Digital Business connections to D&A/decision modeling 10.

IT 52

IT Data Lake Strategy Data Science 52

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . In 2021, the finalists under this category include the following organizations.

Data Lake 106

Data Lake Machine Learning Big Data Data-driven 106

Cloudera

JUNE 7, 2023

To provide guidance to federal agencies, and in many ways lead the way for the private sector, the Cybersecurity and Infrastructure Security Agency (CISA) issued the initial Zero Trust Maturity Model (ZTMM) in 2021 with the intent to give agencies a conceptual roadmap to onboard to a shared zero-trust maturity model by 2024.

Metadata 78

Metadata Data Lake Optimization Modeling 78

AWS Big Data

AUGUST 31, 2023

Amazon Redshift enables you to directly access data stored in Amazon Simple Storage Service (Amazon S3) using SQL queries and join data across your data warehouse and data lake. With Amazon Redshift, you can query the data in your S3 data lake using a central AWS Glue metastore from your Redshift data warehouse.

Data Lake 97

Data Lake Data Warehouse Metadata Data Architecture 97

CIO Business Intelligence

OCTOBER 1, 2022

P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. Over the past 184 years, The Procter & Gamble Co. (P&G) These things have not been done at this scale in the manufacturing space to date, he says.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. Moreover, the framework should consume compute resources as optimally as possible per the size of the operational tables.

Data Lake 94

Data Lake Data Processing Metadata Snapshot 94

CIO Business Intelligence

MARCH 13, 2023

Cloud-enabled innovation The benefits of cloud migration extend well beyond cost optimization and scalability. The cloud gives banking organizations the ability to take core processes to the next level, to build and customize new services and monetize data.

Finance 52

Finance Data-driven Data Lake Cost-Benefit 52

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. Don’t obstruct the optimizer from seeing it’s a star schema.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. This property is set to true by default. availability.

Data Lake 86

Data Lake Snapshot Metadata Optimization 86

IBM Big Data Hub

FEBRUARY 2, 2023

The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery. In 2021, cloud databases accounted for 85% 1 of the market growth in databases.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. This introduces the need for both polling and pushing the data to access and analyze in near-real time.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

NOVEMBER 29, 2023

Modernizing analytics for scale, performance, and reliability “Our migration from legacy on-premises platform to Amazon Redshift allows us to ingest data 88% faster, query data 3x faster, and load daily data to the cloud 6x faster.

Data Warehouse 104

Data Warehouse Data Lake Analytics Machine Learning 104

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 106

Data Lake Visualization Optimization Interactive 106

CIO Business Intelligence

AUGUST 12, 2022

For its order-entry automation module, Northstar leans on AI and RPA to optimize data recognition and verification, and to reduce errors and accelerate order cycle times. The team also built a centralized data lake on AWS, Databricks, and Power BI. Catalyzing change.

IT 105

IT Data Lake Sales Interactive 105

IBM Big Data Hub

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions. models are trained on IBM’s curated, enterprise-focused data lake.

Modeling 58

Modeling Cost-Benefit Data Lake Machine Learning 58

Cloudera

FEBRUARY 18, 2022

Grant Thornton’s 2021 International Business Report research highlights the emergence of empathy as a valued leadership trait. For example, data is helping both Cloudera and our customers to create better, healthier, and more open relationships with employees. .

Data Lake 83

Data Lake Uncertainty Dashboards Optimization 83

AWS Big Data

NOVEMBER 14, 2023

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. In response, we launched On-Demand streams in 2021 to provide a simple and automatic scaling experience.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

Cloudera

AUGUST 4, 2021

Ransomware is currently the biggest cyber threat to enterprises in 2021 , and it remains the most challenging one to fend off. It uses a data-access model that can be used by several clients, yet is secure; data is identified once and applied everywhere it’s needed. Companies indeed are taking notice.

Data Governance 83

Data Governance Metadata Data-driven Enterprise 83

Cloudera

APRIL 3, 2023

CDW leverages Apache Iceberg, Apache Impala, and Apache Hive to provide broad coverage, enabling the best-optimized set of capabilities for each workload. Thus simplifying data exploration, ETL and deriving analytical insights on any enterprise data across the Data Lake.

Data Warehouse 79

Data Warehouse Snapshot Metadata Cost-Benefit 79

Sisense

MAY 11, 2021

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. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

JUNE 21, 2023

Built on highly curated structured data, it provides the flexibility and speed to run aggregations across an entire dataset to derive insights. To house our data, we need to define a data model. An optimal design choice is to use a dimensional model. This is achieved by partitioning the data.

Data Warehouse 83

Data Warehouse Data Lake OLAP Cost-Benefit 83

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data Lake 84

Data Lake Manufacturing Metadata Dashboards 84

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

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 93

Data Lake Data Warehouse Data-driven B2B 93

Smart Data Collective

OCTOBER 16, 2022

One report shows that the number of annual data breaches increased around 60% between 2010 and 2021. There are a lot of benefits of using Security Information and Event Management (SIEM) systems to protect data from hackers. If the data is incomplete, additional information is sourced and appended (enrichment).

Data Lake 136

Data Lake Behavioral Analytics Big Data Enterprise 136

AWS Big Data

APRIL 5, 2023

In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization. In 2021, Showpad decided to take the next step in its data evolution and set forth the vision to power innovation, product decisions, and customer engagement using data-driven insights.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Jet Global

JUNE 13, 2022

According to Gartner’s 2021 Core Financial Magic Quadrant , over 50% of the ERP market is expected to be cloud-based by 2024. When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy. It is the fastest growing ERP on the market and can be run on premises or on the cloud.

Reporting 52

Reporting Data Lake Sales Operational Reporting 52