Cloudera

NOVEMBER 18, 2021

Given the way we have seen communities and workplace cultures come together and stand for change over what has been a disruptive 20 months, we are proud to introduce the People First category to the 2021 DIA. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners!

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Data Lake Cost-Benefit Digital Transformation Risk 77

AWS Big Data

DECEMBER 16, 2024

About the Authors Chiho Sugimoto is a Cloud Support Engineer on the AWS Big Data Support team. She is passionate about helping customers build data lakes using ETL workloads. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. To learn more, refer to Amazon SageMaker Unified Studio.

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Visualization Data Processing Testing Publishing 95

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.

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Data Lake Machine Learning Big Data Data-driven 111

erwin

AUGUST 15, 2022

This blog is based upon a recent webcast that can be viewed here. For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. As with the part 1 and part 2 of this data modeling blog series, the cloud is not nirvana.

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Data Lake Modeling Unstructured Data Data Warehouse 52

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

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Data Lake Data Warehouse Machine Learning Data-driven 94

Cloudera

DECEMBER 9, 2021

As organizations look to improve business operations and outcomes, global industries are pushing for data-driven transformation. The 2021 Cloudera Data Impact Awards recognize those organizations that have pulled ahead of the pack with efforts to leverage the power of data to improve operations and better serve their customers.

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Data Lake Data-driven Machine Learning Finance 86

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions.

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Data Lake Cost-Benefit Unstructured Data Data Governance 98

Cloudera

NOVEMBER 29, 2021

That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . In 2021, the finalists under this category include the following organizations from around the world. CARREFOUR SPAIN.

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Data Lake Data Warehouse Data Architecture Reporting 77

Cloudera

JANUARY 18, 2022

Each year, the Cloudera Data Impact Awards recognize organizations that have accomplished amazing things with innovative data solutions. . For 2021, the awards will include a new category: People First. As a result of this innovative data solution, the company helped customers while keeping its default rate low. .

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Data Lake Digital Transformation Data-driven Dashboards 96

Cloudera

JANUARY 19, 2022

Cloudera Data Platform (CDP) scored among the top 10 vendors on all four Analytical Use Cases — Data Warehouse, Logical Data Warehouse, Data Lake and Operational Intelligence in the Critical Capabilities for Cloud Database Management Systems for Analytics Use Cases. and/or its affiliates in the U.S.

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Reporting Data Warehouse Data Lake Machine Learning 90

Cloudera

NOVEMBER 17, 2022

In 2021, HBLs customers digitally carried out over 330 Mn financial transactions valued at PKR 7 Tn) in payments, a growth of 30% over 2020. We needed a solution to manage our data at scale, to provide greater experiences to our customers. HBL aims to double its banked customers by 2025. “ See other customers’ success here .

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Management Data Lake Consulting Unstructured Data 85

Cloudera

AUGUST 18, 2021

Data processed at the edge or in the cloud, for instance, is not effective if it follows the traditional lifecycle of “ingest, process, land, and analyze.” If the data goes into a data lake before analysis, extracting it can get pretty complex and time-consuming. Avoiding Complexity.

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Data Lake IoT Internet of Things Data-driven 88

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). We’d love to hear from you so why not submit your entry for the 2021 Data Champion category?

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IT Business Objectives Digital Transformation Data-driven 104

Andrew White

OCTOBER 22, 2021

If you follow my blog for any period of time you will know that for most years I have attended our annual Gartner IT Symposium I do a day-in-the-life blog of an analyst. Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10.

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IT Data Lake Data Science Strategy 52

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. In 2021, SQL Stream Builder (SSB) was added to CSP to address the needs of Laila and many like her. Without context, streaming data is useless.” Not in the manufacturing space? Not to worry. Getting started today.

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Data Lake Manufacturing Metadata Dashboards 88

Cloudera

FEBRUARY 18, 2022

This blog explores what empathy looks like in a business context, why it’s so important, and what we’re up to at Cloudera. Grant Thornton’s 2021 International Business Report research highlights the emergence of empathy as a valued leadership trait. The post Leadership in 2022: Focus on Empathy appeared first on Cloudera Blog.

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Data Lake Uncertainty Dashboards Optimization 87

IBM Big Data Hub

APRIL 27, 2022

With data ownership decentralization, data owners can create data products for their respective domains, meaning data consumers, both data scientist and business users, can use a combination of these data products for data analytics and data science. 11 May 2021. . 3 March 2022.

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Management Metadata Data Architecture Data Lake 79

Cloudera

DECEMBER 1, 2022

For example, historically the process of acquiring data from the source systems to populate the data lake was plagued by schema drift. As the schema of the source data changed, it caused the traditional extract, transform, and load (ETL) processes to fail. rate over the next five years. Source: IDC .

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Data Quality Metrics Data Lake Statistics 84

Alation

NOVEMBER 18, 2021

External Tables Create a Shared View of the Data Lake. We’ve seen external tables become popular with our customers, who use them to provide a normalized relational schema on top of their data lake. Essentially, external tables create a shared view of the data lake, a single pane of glass everyone can reference.

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Data Lake Management Data Governance Testing 52

Alation

NOVEMBER 2, 2022

We had not seen that in the broader intelligence & data governance market.”. Right now, it’s probably not a secret that the amount and the pace of financings – if you compare 2022 to 2021 – is night and day,” he continues. “It The lakehouse] helps businesses really harness the power of data and analytics and AI.

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Data Governance Marketing Finance Data Lake 98

Alation

DECEMBER 14, 2021

Alation recently attended AWS re:invent 2021 … in person! Major shifts around how people use technology and data in the cloud are only just beginning. Re:Invent 2021 Keynote by AWS CEO Adam Selipsky. How do you provide access and connect the right people to the right data? What about other data sources?

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Data Lake Data Warehouse Machine Learning Cost-Benefit 52

erwin

JUNE 7, 2022

This blog is based upon webcast which can be watched here. Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Business Focus.

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Data Warehouse Modeling Sales Data Lake 52

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. Iceberg basics Iceberg is an open table format designed for large analytic workloads.

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Data Warehouse Snapshot Metadata Cost-Benefit 82

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

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 86

Data Governance Metadata Data-driven Enterprise 86

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

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Metadata Data Lake Data Warehouse Data Quality 52

Cloudera

NOVEMBER 15, 2024

In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report , there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The post Empower Your Cyber Defenders with Real-Time Analytics appeared first on Cloudera Blog.

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Analytics Metadata Snapshot Data-driven 59

IBM Big Data Hub

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021. All watsonx.ai

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Modeling Cost-Benefit Machine Learning Data Lake 55

BizAcuity

MAY 10, 2022

And how this transformation will impact businesses in the short and long run is the main discussion in this blog. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. 2021: The global cloud market size is at USD $445.3

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

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.

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Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. 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.

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Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

JULY 7, 2023

In 2021, a Dallas IT employee was fired for accidentally deleting 15 terabytes of Dallas police and other city files. Best practices for proactive data security Best cybersecurity practices mean ensuring your information security in many and varied ways and from many angles.

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Risk Data Governance Data Lake Data-driven 40

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. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

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Enterprise Knowledge Discovery Risk Machine Learning 52

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 83

Metadata Data Lake Optimization Modeling 83

Cloudera

JANUARY 24, 2022

In order to be considered for the Data for Good category, submissions must have addressed some of the most challenging issues affecting society and the planet, making what was impossible yesterday, possible today, and transforming the future. Winner of the Data Impact Awards 2021: Data for Good.

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Data Lake Risk Machine Learning Data Collection 65

Cloudera

NOVEMBER 15, 2024

In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report , there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021.

Analytics 84

Analytics Metadata Snapshot Data-driven 84