Cloudera

MAY 28, 2024

Data architecture is what defines the structures and systems within an organization responsible for collecting, storing, and accessing data, along with the policies and processes that dictate how data is governed. When we talk about modern data architecture, there are several unique benefits to this kind of approach.

Data Architecture 75

Data Architecture Data Lake Data Warehouse Cost-Benefit 75

AWS Big Data

JUNE 15, 2023

In today’s world, customers manage vast amounts of data in their Amazon Simple Storage Service (Amazon S3) data lakes, which requires convoluted data pipelines to continuously understand the changes in the data layout and make them available to consuming systems. Review and update the crawler settings.

Data Lake 90

Data Lake Metadata Cost-Benefit Management 90

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 82

Data Lake Data Governance Cost-Benefit Machine Learning 82

Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. With a cloud deployment, enterprises can leverage a “pay as you go” model; reducing the burden of incurring capital costs. With an on-premise deployment, enterprises have full control over data security, data access, and data governance.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

DataKitchen

NOVEMBER 4, 2021

Cloud computing has made it much easier to integrate data sets, but that’s only the beginning. Creating a data lake has become much easier, but that’s only ten percent of the job of delivering analytics to users. It often takes months to progress from a data lake to the final delivery of insights.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

DataKitchen

AUGUST 3, 2021

DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . This post (1 of 5) is the beginning of a series that explores the benefits and challenges of implementing a data mesh and reviews lessons learned from a pharmaceutical industry data mesh example.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Cloudera

FEBRUARY 14, 2019

Enterprises started moving to the cloud expecting infinite scalability and simultaneous cost savings, but the reality has often turned out to be more nuanced. Before they can fully realize the benefits of the cloud, they have had to adjust to new data models and new processes. Read about the ADLS Gen2 announcement on Azure.com.

Data Lake 58

Data Lake Cost-Benefit Big Data Data Processing 58

IBM Big Data Hub

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI. With watsonx.data, you can experience the benefits of a data lakehouse to help scale AI workloads for all your data, anywhere.

Data Lake 79

Data Lake Metadata Cost-Benefit Data Warehouse 79

AWS Big Data

JANUARY 17, 2024

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg, and Delta lake. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 95

Data Lake Snapshot Big Data Data-driven 95

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 111

Optimization Snapshot Data Lake Metadata 111

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

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.

Data Lake 92

Data Lake Data Warehouse Machine Learning Cost-Benefit 92

Cloudera

OCTOBER 6, 2022

CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. A major goal of these projects is cost reduction; it’s not sexy, it’s pragmatic. Cost savings opportunities. These data lakes house much of the data needed to also support other use cases.

Digital Transformation 88

Digital Transformation Cost-Benefit Data Lake Machine Learning 88

Cloudera

SEPTEMBER 10, 2021

This directly impacted use cases that require access to raw files/objects such as data engineering with Hive, Apache Spark, and Apache Pig. A follow up blog post will illustrate the kinds of changes that would need to be made and how RAZ compares. Customer 1 – Centralized data authorization management.

Cost-Benefit 81

Cost-Benefit Data Lake Data Warehouse Management 81

IBM Big Data Hub

APRIL 24, 2023

By running reports on historical data, a data warehouse can clarify what systems and processes are working and what methods need improvement. Data warehouse is the base architecture for artificial intelligence and machine learning (AI/ML) solutions as well. Modern data warehousing technology can handle all data forms.

Data Warehouse 91

Data Warehouse Data Lake Cost-Benefit Enterprise 91

Cloudera

APRIL 22, 2021

Apache Ozone is one of the major innovations introduced in CDP, which provides the next generation storage architecture for Big Data applications, where data blocks are organized in storage containers for larger scale and to handle small objects. Cloudera will publish separate blog posts with results of performance benchmarks.

Data Lake 100

Data Lake Cost-Benefit Testing Metadata 100

Cloudera

FEBRUARY 8, 2024

Overview This blog post describes support for materialized views for the Iceberg table format. It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. These tables are created as Iceberg tables.

Snapshot 90

Snapshot Metadata Cost-Benefit Data Warehouse 90

IBM Big Data Hub

SEPTEMBER 25, 2023

But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. Every day, millions of riders use the Uber app, unwittingly contributing to a complex web of data-driven decisions.

OLAP 88

OLAP Data Lake Data-driven Snapshot 88

Smart Data Collective

FEBRUARY 20, 2022

Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Management of data. While maintaining cost control, SaaS companies may have to innovate quickly. Cost-effective. Management.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

AWS Big Data

MARCH 29, 2024

Finally, Nexthink details the benefits achieved by adopting Amazon MSK. The next sections detail our modernization journey, including the challenges we faced and the benefits we realized with our new cloud-centered, AWS-based architecture. Benefits of Amazon MSK Amazon MSK has been critical in enabling our event-driven design.

Cost-Benefit 93

Cost-Benefit Data-driven Metrics Management 93

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.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

DataKitchen

AUGUST 27, 2021

It implemented hundreds of schema and data set changes per week without introducing errors. Arguably the most agile and effective data analytics capability in the pharmaceutical industry was accomplished cost-effectively, with a data engineering team of seven and another 10-12 data analysts. It’s that simple. .

Analytics 246

Analytics Sales Testing Cost-Benefit 246

Cloudera

JANUARY 15, 2021

With the ability to quickly provision on-demand and the lower fixed and administrative costs, the costs of operating a cloud data warehouse are driven mostly by the price-performance of the specific data warehouse platform. higher cost. Remote read optimizations: IMPALA-8341: Data cache for remote reads.

Data Warehouse 94

Data Warehouse Cost-Benefit Consulting Interactive 94

BizAcuity

NOVEMBER 22, 2022

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

Cloudera

OCTOBER 11, 2021

They will automatically get the benefits of CDP Shared Data Experience (SDX) with enterprise-grade security and governance. Modak Nabu reliably curates datasets for any line of business and personas, from business analysts to data scientists. Customers using Modak Nabu with CDP today have deployed Data Lakes and.

Data Lake 92

Data Lake Cost-Benefit Data-driven Dashboards 92

IBM Big Data Hub

AUGUST 1, 2023

Organizations that utilize them correctly can see a myriad of benefits—from increased operational efficiency and improved decision-making to the rapid creation of marketing content. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? All watsonx.ai

Modeling 56

Modeling Cost-Benefit Data Lake Machine Learning 56

Alation

FEBRUARY 1, 2022

Historically, data governance has been a manual and restrictive process, making it almost impossible for these programs to succeed. David Menninger, Research Director at Ventana Research, argues that traditional, restrictive governance costs organizations time, money, and valuable insights. Subscribe to Alation's Blog.

Data Lake 52

Data Lake Data Governance ROI Cost-Benefit 52

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. Iceberg doesn’t delete the old data files. This could be very costly. Opening files is costly.

Strategy 57

Strategy Optimization Snapshot Metadata 57

IBM Big Data Hub

DECEMBER 7, 2023

They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources. Challenges of adopting cloud-based OLAP solutions Cloud adoption for OLAP databases has become common due to scalability, elasticity and cost-efficiency advantages.

OLAP 59

OLAP Slice and Dice Cost-Benefit Data Warehouse 59

DataKitchen

JULY 27, 2023

Azure HDInsight: A fully managed cloud service that makes processing massive amounts of data easy, fast, and cost-effective. Power BI dataflows: Power BI dataflows are a self-service data preparation tool. Azure Blob Storage serves as the data lake to store raw data. Oozie on HDInsight.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

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 77

Cost-Benefit Metadata Optimization Management 77

Ontotext

FEBRUARY 12, 2024

The data mesh concept will mitigate cognitive overload when building data-driven organizations that require intense technical, domain, and operational knowledge. A centralized data engineering team focuses on building a governed self-serviced infrastructure, while domain teams use the services to build full-stack data products.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

Data Architecture 60

Data Architecture Data Lake Machine Learning Data Governance 60

Cloudera

JANUARY 30, 2024

But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits. Eliminate data silos.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

IBM Big Data Hub

MAY 9, 2023

The emergence of transformers and self-supervised learning methods has allowed us to tap into vast quantities of unlabeled data, paving the way for large pre-trained models, sometimes called “ foundation models.” ” These large models have lowered the cost and labor involved in automation. All watsonx.ai

Enterprise 129

Enterprise Technology Modeling Cost-Benefit 129

IBM Big Data Hub

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 78

Cost-Benefit Metadata Data Governance Modeling 78

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88