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

Cloudera

DECEMBER 14, 2022

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. They were also able to develop smarter processes on the platform by introducing chatbots to take over 10% of customer interactions on their website. “We

Data Strategy 79

Data Strategy Strategy IT Contextual Data 79

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 117

Strategy Data Science Marketing Unstructured Data 117

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. Let’s say that this company is located in Europe and the data product must comply with the GDPR.

Data Lake 105

Data Lake Management Metrics Data Warehouse 105

AWS Big Data

MARCH 23, 2023

Register the S3 path storing the table using Lake Formation We register the S3 full path in Lake Formation: Navigate to the Lake Formation console. In the navigation pane, under Register and ingest , choose Data lake locations. Jack Ye is a software engineer of the Athena Data Lake and Storage team at AWS.

Interactive 71

Interactive Snapshot Data Lake Software 71

CIO Business Intelligence

APRIL 6, 2022

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. Thinking about that intelligence as having millions of loosely connected decision points at the edge requires a different strategy, and you can’t micromanage it.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

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

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

AWS Big Data

NOVEMBER 13, 2023

As your company transforms, you need a data foundation for business applications, new technical innovations, and data-driven business initiatives. With new capabilities for self-service and simpler builder experiences, you can democratize data access for line-of-business users, analysts, scientists, and engineers.

Analytics 111

Analytics Data Lake Data Warehouse Data-driven 111

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. Later this year, watsonx.data will infuse watsonx.ai

Data Lake 79

Data Lake Metadata Cost-Benefit Data Warehouse 79

CIO Business Intelligence

AUGUST 12, 2022

The rapid growth left the company highly dependent on fragmented, manual processes and disparate data sources and systems. So, we have a lot of disparate systems across our company — ERPs, CRMs, middleware — but our go-to-market strategy for our customers, you have to make that all invisible for them.”. Catalyzing change.

IT 104

IT Data Lake Sales Interactive 104

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

DataKitchen

NOVEMBER 10, 2023

The Perilous State of Today’s Data Environments Data teams often navigate a labyrinth of chaos within their databases. Extrinsic Control Deficit: Many of these changes stem from tools and processes beyond the immediate control of the data team.

Data Quality 136

Data Quality Testing Data Lake Data Integration 136

AWS Big Data

FEBRUARY 27, 2024

The following are the key components of the Bluestone Data Platform: Data mesh architecture – Bluestone adopted a data mesh architecture, a paradigm that distributes data ownership across different business units. This enables data-driven decision-making across the organization.

Data-driven 97

Data-driven Data Lake Data Quality Data Governance 97

IBM Big Data Hub

JANUARY 19, 2024

The future of customer experience (CX) is more : more data, more technology, more surprising and delighting. It’s also more pressure to retain those customers, whether those interactions happen online or in-store. As such, future CX strategies will be more data-driven than ever before.

Data-driven 86

Data-driven Consulting Interactive Data Lake 86

Smart Data Collective

DECEMBER 13, 2022

It is important to note that data analytics relies on computer tools and software to collect and analyze data so that business choices may be made properly. Data analytics is widely used in business since it allows organizations to better understand their consumers and improve their advertising strategies.

Visualization 136

Visualization Key Performance Indicator Sales Data Lake 136

CIO Business Intelligence

APRIL 25, 2024

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

Management 102

Management Optimization Strategy Enterprise 102

AWS Big Data

JANUARY 31, 2023

We have collected some of the key talks and solutions on data governance, data mesh, and modern data architecture published and presented in AWS re:Invent 2022, and a few data lake solutions built by customers and AWS Partners for easy reference. Starting with Amazon EMR release 6.7.0,

Data Lake 84

Data Lake Data Governance Data Architecture Machine Learning 84

CIO Business Intelligence

JUNE 29, 2022

The recent announcement of the Microsoft Intelligent Data Platform makes that more obvious, though analytics is only one part of that new brand. Here we take a look at Microsoft Azure’s essential analytics services, what they are used for, and how they come together to make a comprehensive stack for your analytics strategy in the cloud.

Data Lake 105

Data Lake Analytics Data Warehouse Machine Learning 105

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

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

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

AWS Big Data

MAY 15, 2024

Athena is an interactive query service that simplifies data analysis in Amazon Simple Storage Service (Amazon S3) using standard SQL. Check out the GitHub repo to regularly run this analysis as part of your cost-optimization strategy to identify and release inactive EIPs to reduce costs.

Snapshot 85

Snapshot Optimization Data Lake Reporting 85

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Data Lake Dashboards Data Science 130

Cloudera

DECEMBER 11, 2020

Many businesses now need to achieve free and open data access in order to derive value and improve efficiencies as they navigate the ‘new norm’ — whether that’s involved working from a home office, or the garden shed. Toolsets and strategies have had to shift to ensure controlled access to data.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

AWS Big Data

NOVEMBER 8, 2023

Putting your data to work with generative AI – Innovation Talk Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian Join Mai-Lan Tomsen Bukovec, Vice President, Technology at AWS to learn how you can turn your data lake into a business advantage with generative AI. Reserve your seat now! Reserve your seat now!

Data-driven 91

Data-driven Data Lake Machine Learning Cost-Benefit 91

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes. Uber understood that digital superiority required the capture of all their transactional data, not just a sampling.

OLAP 88

OLAP Data Lake Data-driven Snapshot 88

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

AWS Big Data

DECEMBER 5, 2023

To fill in the gaps in existing data, HR&A creates digital equity surveys to build a more complete picture before developing digital equity plans. HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results.

Measurement 85

Measurement Dashboards Data Warehouse Analytics 85

AWS Big Data

APRIL 26, 2023

This multinational production strategy follows an even more international and extensive supplier network. To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub. To learn more about the Cloud Data Hub, refer to BMW Group Uses AWS-Based Data Lake to Unlock the Power of Data.

Forecasting 124

Forecasting Manufacturing Data Lake Big Data 124

CIO Business Intelligence

JUNE 1, 2022

At the bottom of the pyramid are conversational capabilities that interact like a human. The whole inverted pyramid creates a closed-loop customer interaction. . The pandemic accelerated a change to digital interactions that was already happening in the market. What data do you collect from those channels?

IT 73

IT Interactive Marketing Consulting 73

IBM Big Data Hub

AUGUST 4, 2023

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

Data Architecture 60

Data Architecture Data Lake Machine Learning Data Governance 60

CIO Business Intelligence

MARCH 18, 2024

The CIO has strategies in place to address all three. One such company has built a tool that predicts customer intent and behavior based on previous interactions and other market data. AI tools rely on the data in use in these solutions. Artificial Intelligence, Generative AI, IT Leadership, IT Strategy, Risk Management

Risk 121

Risk Cost-Benefit Data Processing Testing 121

AWS Big Data

JUNE 21, 2023

A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis. A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. This is achieved by partitioning the data.

Data Warehouse 82

Data Warehouse Data Lake OLAP Cost-Benefit 82

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

Data Lake 74

Data Lake Measurement Visualization Data Architecture 74

AWS Big Data

MAY 28, 2024

For example, financial analysts currently have to manually read and summarize lengthy regulatory filings and earnings transcripts in order to respond to Q&A on investment strategies. For getting data from Amazon Redshift, we use the Anthropic Claude 2.0 For client interaction we use Agent Tools based on ReAct.

Unstructured Data 88

Unstructured Data Structured Data Data Warehouse Testing 88

Corinium

JUNE 6, 2019

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. Newer methods can work with large amounts of data and are able to unearth latent interactions.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250