Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

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

JUNE 20, 2023

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) and data sources residing in AWS, on-premises, or other cloud systems using SQL or Python. Solution overview Data scientists are generally accustomed to working with large datasets.

Data Lake 75

Data Lake Data Science Recreation/Entertainment Experimentation 75

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI).

Data Lake 105

Data Lake Management Metrics Data Warehouse 105

AWS Big Data

NOVEMBER 10, 2023

Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency. Additionally, you’ll benefit from performance improvements through pushdown optimizations, further enhancing the efficiency of your operations. options(**read_config).option("query",

Data Processing 95

Data Processing Data Lake Data Warehouse Optimization 95

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 91

Data Lake Data Warehouse Data-driven B2B 91

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 96

Data Lake Snapshot Big Data Data-driven 96

AWS Big Data

NOVEMBER 13, 2023

11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.

Analytics 111

Analytics Data Lake Data Warehouse Data-driven 111

CIO Business Intelligence

APRIL 25, 2024

With questions around ROI, increasing outlay, and corporate scrutiny on IT cost savings on the rise, CIOs must know not only what contributes to their organization’s overall cloud spend but also how to optimize it. Evolving enterprise needs often outpace the product roadmaps of SaaS cost optimization solutions providers.

Management 102

Management Optimization Strategy Enterprise 102

AWS Big Data

MAY 15, 2024

You can use this solution regularly as part of your cost-optimization efforts to safely remove unused EIPs to reduce your costs. Athena is an interactive query service that simplifies data analysis in Amazon Simple Storage Service (Amazon S3) using standard SQL. Refer to AWS CloudTrail Lake pricing page for pricing details.

Snapshot 85

Snapshot Optimization Data Lake Reporting 85

CIO Business Intelligence

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Lakehouses redeem the failures of some data lakes.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Business Intelligence 139

CIO Business Intelligence

AUGUST 12, 2022

The rapid growth left the company highly dependent on fragmented, manual processes and disparate data sources and systems. 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. Catalyzing change.

IT 104

IT Data Lake Sales Interactive 104

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. Iterations of the lakehouse.

Data Lake 92

Data Lake Data Warehouse Machine Learning Cost-Benefit 92

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. This makes gathering information for decision making a challenge.

Management 78

Management Metrics Data Processing Data Lake 78

IBM Big Data Hub

APRIL 15, 2024

The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Or we create a data lake, which quickly degenerates to a data swamp. Coupled with search and multi-modal interaction, gen AI makes a great assistant. Manufacturers use summarization in different ways.

Manufacturing 95

Manufacturing Contextual Data Knowledge Discovery Data Lake 95

Cloudera

MARCH 28, 2024

And of those organizations working on some stage of AI adoption, a few of the top benefits included increased productivity (35%), enhanced operational efficiency (33%), improved customer experience (33%), and optimized supply chain and logistics (33%). The benefits are clear, and there’s plenty of potential that comes with AI adoption.

Data Architecture 92

Data Architecture Strategy Data Lake Data-driven 92

IBM Big Data Hub

JUNE 15, 2023

It is comprised of commodity cloud object storage, open data and open table formats, and high-performance open-source query engines. To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform.

Data Warehouse 88

Data Warehouse Data Lake Optimization Data-driven 88

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

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. Iterations of the lakehouse.

Data Lake 78

Data Lake Data Warehouse Machine Learning Cost-Benefit 78

IBM Big Data Hub

SEPTEMBER 25, 2023

With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price. Uber’s prowess as a transportation, logistics and analytics company hinges on their ability to leverage data effectively. But the simplicity ends there.

OLAP 88

OLAP Data Lake Data-driven Snapshot 88

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. Later this year, watsonx.data will infuse watsonx.ai

Data Lake 79

Data Lake Metadata Cost-Benefit Data Warehouse 79

AWS Big Data

MARCH 21, 2024

You want real-time access to this data so you can monitor performance in real time, and detect and mitigate issues quickly. You also need longer-term access to this data for machine learning (ML) models to run predictive maintenance assessments, find optimization opportunities, and forecast demand.

Data Lake 99

Data Lake Management Modeling Optimization 99

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. Analyzing historical patterns allows you to optimize performance, identify issues proactively, and improve planning. Mohit Saxena is a Senior Software Development Manager on the AWS Glue team.

Metrics 107

Metrics Visualization Dashboards Interactive 107

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

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 82

Data Warehouse Data Lake OLAP Cost-Benefit 82

Smart Data Collective

DECEMBER 13, 2022

There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Data lakes hold raw data that has not yet been altered to meet a specific purpose. Understand Your Audience.

Visualization 136

Visualization Key Performance Indicator Sales Data Lake 136

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Lake Analytics.

Data Lake 105

Data Lake Analytics Data Warehouse Machine Learning 105

AWS Big Data

NOVEMBER 8, 2023

Join us as we delve into the world of real-time streaming data at re:Invent 2023 and discover how you can use real-time streaming data to build new use cases, optimize existing projects and processes, and reimagine what’s possible. High-quality data is not just about accuracy; it’s also about timeliness.

Data-driven 91

Data-driven Data Lake Machine Learning Cost-Benefit 91

CIO Business Intelligence

OCTOBER 21, 2022

Chipotle IT’s secret sauce Garner credits Chipotle’s wholly owned business model for enabling him to deploy advanced technologies such as the cloud, analytics, data lake, and AI uniformly to all restaurants because they are all based on the same digital backbone. Chipotle’s digital business in 2022 was $3.5

Digital Transformation 140

Digital Transformation Data Lake Forecasting Technology 140

AWS Big Data

MAY 16, 2024

However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information. The need to balance detail and context while maintaining real-time interactivity can lead to issues of scalability and rendering complexity.

Data Warehouse 109

Data Warehouse Visualization Cost-Benefit Optimization 109

Cloudera

JUNE 2, 2022

Over the last decade, we have often heard about the proliferation of data creating sources (mobile applications, laptops, sensors, enterprise apps) in heterogeneous environments (cloud, on-prem, edge) resulting in the exponential growth of data being created.

Enterprise 102

Enterprise Data Lake Data Collection Data-driven 102

AWS Big Data

NOVEMBER 20, 2023

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. The end benefit for you is more effective and optimized AWS Glue for Apache Spark workloads. The metrics are available in all AWS Glue supported Regions. Check it out!

Metrics 97

Metrics Data Lake Cost-Benefit Dashboards 97

AWS Big Data

OCTOBER 23, 2023

For interactive applications, Athena Spark allows you to spend less time waiting and be more productive, with application startup time in under a second. Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer.

Data Lake 104

Data Lake Visualization Optimization Interactive 104

IBM Big Data Hub

JANUARY 18, 2023

A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Value of the data projects are difficult to realize.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. OCBC also won a Cloudera Data Impact Award 2022 in the Transformation category for the project. Real-time data analysis for better business and customer solutions.

Data Strategy 79

Data Strategy Strategy IT Contextual Data 79

Cloudera

JANUARY 30, 2023

By 2025, it’s estimated that the amount of data created, consumed, and stored will reach 180 zettabytes , with up to 90% of that unstructured and nearly all of it unused for decision making. The purpose of this blog isn’t to emphasize the cyber risk of dark data but to spotlight its implications.

IoT 82

IoT Data Architecture Data Lake Machine Learning 82

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70