IBM Big Data Hub

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. Such data volumes are not easy to move, migrate or modernize. The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale.

Data Lake 61

Data Lake Metadata Cost-Benefit Data Warehouse 61

AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 71

Data Lake Cost-Benefit Dashboards Data Warehouse 71

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 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

Jet Global

SEPTEMBER 19, 2023

But the constant noise around the topic – from cost benefit analyses to sales pitches to technical overviews – has led to information overload. Data Access What insights can we derive from our cloud ERP? What are the best practices for analyzing cloud ERP data? How do I access the legacy data from my previous ERP?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. With pay-as-you-go pricing, platforms that deliver high-performance benefit users not only through faster results but also through direct cost savings.

Data Warehouse 94

Data Warehouse Cost-Benefit Consulting Interactive 94

AWS Big Data

MARCH 2, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. and later supports the Apache Iceberg framework for data lakes. AWS Glue 3.0 The following diagram illustrates the solution architecture.

Data Lake 120

Data Lake Data Processing Metadata Snapshot 120

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. Search for the Jira Cloud connector.

Data Lake 88

Data Lake Data Transformation Cost-Benefit Data-driven 88

Sisense

NOVEMBER 12, 2020

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Data warehouse vs. databases.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 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. We also discuss the benefits Ruparupa gained after the implementation.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Cloudera

JANUARY 11, 2021

At the same time, Central IT must juggle cost and risk. In data-driven organizations, to fulfill its charter to democratize data and provide on-demand, quality computing services in a secure, compliant environment, IT must replace legacy approaches and update technologies. How self-service data warehousing frees IT resources.

Data Warehouse 62

Data Warehouse Data Lake Cost-Benefit Machine Learning 62

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data modeling basics.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 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. It allows us to independently upgrade the Virtual Warehouses and Database Catalogs.

Data Warehouse 81

Data Warehouse Snapshot Metadata Cost-Benefit 81

AWS Big Data

NOVEMBER 8, 2023

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline. Loading data is a key process for any analytical system, including Amazon Redshift.

Data Lake 78

Data Lake Data Warehouse Cost-Benefit Optimization 78

IBM Big Data Hub

APRIL 24, 2023

Data is reported from one central repository, enabling management to draw more meaningful business insights and make faster, better decisions. By running reports on historical data, a data warehouse can clarify what systems and processes are working and what methods need improvement.

Data Warehouse 91

Data Warehouse Data Lake Cost-Benefit Enterprise 91

erwin

JUNE 7, 2022

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. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

AWS Big Data

DECEMBER 21, 2023

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

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

CIO Business Intelligence

NOVEMBER 25, 2022

Today, more than 90% of its applications run in the cloud, with most of its data is housed and analyzed in a homegrown enterprise data warehouse. Like many CIOs, Carhartt’s top digital leader is aware that data is the key to making advanced technologies work. Today, we backflush our data lake through our data warehouse.

Data Lake 127

Data Lake Data Warehouse Unstructured Data Data Architecture 127

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

AWS Big Data

MAY 16, 2024

To learn more details about their benefits, see Introduction to Spatial Indexes. Learn more about these differences in CARTO’s free ebook Spatial Indexes Benefits of H3 One of the flagship examples of spatial indexes is H3, which is a hexagonal spatial index. This ensures robust data representation in all directions.

Data Warehouse 109

Data Warehouse Visualization Cost-Benefit Optimization 109

AWS Big Data

FEBRUARY 12, 2024

About Redshift and some relevant features for the use case Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that offers simple operations and high performance. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

Data Warehouse 102

Data Warehouse Analytics Snapshot Cost-Benefit 102

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

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

CIO Business Intelligence

JUNE 23, 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 78

Data Lake Data Warehouse Machine Learning Cost-Benefit 78

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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.

Data Lake 79

Data Lake Metadata Cost-Benefit Data Warehouse 79

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 94

Data Warehouse Data Lake Analytics Data Science 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

CIO Business Intelligence

FEBRUARY 20, 2024

Poor performance, cloud sprawl, a lack of integration and unpredictable cloud costs can also affect the success of generative AI initiatives, so organisations need to inspect and optimise their cloud provisions before jumping headfirst into deploying AI tools. “We If this all seems challenging, Avanade can help. Generative AI, Innovation

Cost-Benefit 92

Cost-Benefit Data Lake Data Warehouse Data Integration 92

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 87

Enterprise Data Warehouse Data Lake Optimization 87

Sisense

JULY 8, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

AWS Big Data

MARCH 27, 2024

You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse. This will be your online transaction processing (OLTP) data store for transactional data. With continuous innovations added to Amazon Redshift, it is now more than just a data warehouse.

Data Analytics 93

Data Analytics Analytics Data Warehouse Data Lake 93

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. Each of the acquired companies had multiple data sets with different primary keys, says Hepworth. “We

Analytics 85

Analytics Data Lake Metadata Cost-Benefit 85

CIO Business Intelligence

APRIL 4, 2023

AI working on top of a data lakehouse, can help to quickly correlate passenger and security data, enabling real-time threat analysis and advanced threat detection. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. Tolkien intimated, anything worth achieving takes time.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

AWS Big Data

NOVEMBER 20, 2023

As a result, you gain the benefit of higher availability, better performance, and lower cost for your AWS Glue for Apache Spark workload. Use case A typical workload for AWS Glue for Apache Spark jobs is to load data from a relational database to a data lake with SQL-based transformations. Check it out!

Metrics 97

Metrics Data Lake Cost-Benefit Dashboards 97

CIO Business Intelligence

MAY 24, 2022

The second will focus on the growth in volume and type of data required to be stored and managed, and the ways in which value can be extracted from data. The third will examine the challenges of realising that value, the attributes of a successful data-driven organisation, and the benefits that can be gained.

Data-driven 76

Data-driven Data Lake Data Warehouse Cost-Benefit 76