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

Alation

AUGUST 4, 2022

It’s been one decade since the “ Big Data Era ” began (and to much acclaim!). Analysts asked, What if we could manage massive volumes and varieties of data? Yet the question remains: How much value have organizations derived from big data? Big Data as an Enabler of Digital Transformation.

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95

Jet Global

NOVEMBER 5, 2020

The company’s market power is based largely on its ability to promote the “stack”—that is, to position the entire suite of Microsoft products as a holistic solution to customer problems. Option 3: Azure Data Lakes. This leads us to Microsoft’s apparent long-term strategy for D365 F&SCM reporting: Azure Data Lakes.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

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? All the while, your marketing team is relying on marketing automation or CRM software they find the most productive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

David Menninger's Analyst Perspectives

APRIL 28, 2022

Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving them a competitive advantage in the market.

Data Lake 130

Data Lake Big Data Reporting Marketing 130

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. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Big Data Ecosystem.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

AWS Big Data

APRIL 4, 2024

Aura from Unity (formerly known as ironSource) is the market standard for creating rich device experiences that engage and retain customers. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Big Data 68

Big Data Data Warehouse Advertising OLAP 68

Sisense

JUNE 11, 2019

The term “Big Data” has lost its relevance. The fact remains, though: every dataset is becoming a Big Data set, whether its owners and users know (and understand) that or not. Big Data isn’t just something that happens to other people or giant companies like Google and Amazon. Big Data Today.

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

AWS Big Data

JUNE 20, 2023

It manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. About the Authors Vivek Gautam is a Data Architect with specialization in data lakes at AWS Professional Services.

Data Lake 74

Data Lake Data Science Recreation/Entertainment Experimentation 74

DataKitchen

DECEMBER 7, 2021

Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean. 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. A distributed data mesh is a better choice. How did we get here?

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

AWS Big Data

NOVEMBER 16, 2023

One of the core features of AWS Lake Formation is the delegation of permissions on a subset of resources such as databases, tables, and columns in AWS Glue Data Catalog to data stewards, empowering them make decisions regarding who should get access to their resources and helping you decentralize the permissions management of your data lakes.

Management 111

Management Data Lake Sales Machine Learning 111

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

MARCH 1, 2024

It provides personal and commercial banking, global markets, and investment banking services to 13 million customers. As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud.

Data Lake 101

Data Lake Data Warehouse Management Risk 101

IBM Big Data Hub

APRIL 24, 2023

Managing, storing, and processing data is critical to business efficiency and success. Modern data warehousing technology can handle all data forms. Significant developments in big data, cloud computing, and advanced analytics created the demand for the modern data warehouse.

Data Warehouse 90

Data Warehouse Data Lake Cost-Benefit Enterprise 90

CIO Business Intelligence

JUNE 29, 2022

Data Factory includes features such as “ code by example ” to help users build queries but also has options to use languages such as Python, Java, and.NET with Git and CI/CD support, making it particularly useful for migrating SQL Server Integration Services to Azure. Azure Data Explorer. Azure Data Lake Analytics.

Data Lake 104

Data Lake Analytics Data Warehouse Machine Learning 104

AWS Big Data

JULY 3, 2023

Major market indexes, such as S&P 500, are subject to periodic inclusions and exclusions for reasons beyond the scope of this post (for an example, refer to CoStar Group, Invitation Homes Set to Join S&P 500; Others to Join S&P 100, S&P MidCap 400, and S&P SmallCap 600 ).

Snapshot 86

Snapshot Data Lake Testing Strategy 86

IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

AWS Big Data

DECEMBER 21, 2023

smava believes in and takes advantage of data-driven decisions in order to become the market leader. The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. He is passionate about building products customers love and helping customers extract value from their data.

Snapshot 102

Snapshot Data Lake Metadata Optimization 102

AWS Big Data

APRIL 26, 2023

To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub. In 2019, the BMW Group decided to re-architect and move its on-premises data lake to the AWS Cloud to enable data-driven innovation while scaling with the dynamic needs of the organization.

Forecasting 124

Forecasting Manufacturing Data Lake Big Data 124

AWS Big Data

APRIL 6, 2023

In this post, Morningstar’s Data Lake Team Leads discuss how they utilized tag-based access control in their data lake with AWS Lake Formation and enabled similar controls in Amazon Redshift. This way, our existing data lake consumers could easily transition to Amazon Redshift.

Data Warehouse 87

Data Warehouse Data Lake Management Data-driven 87

AWS Big Data

FEBRUARY 27, 2024

To stay competitive and responsive to changing market dynamics, they decided to modernize their infrastructure. 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.

Data-driven 96

Data-driven Data Lake Data Quality Data Governance 96

AWS Big Data

FEBRUARY 12, 2024

Across verticals, thousands of large and small businesses in emerging markets use Gupshup to build conversational experiences across marketing, sales, and support. 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

AWS Big Data

NOVEMBER 29, 2023

Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 102

Data Warehouse Data Lake Analytics Machine Learning 102

CIO Business Intelligence

JULY 26, 2023

“We’ve been able to create some models that will analyze things like the listing comments and descriptions and tell you which properties are waterfront or not,” Wilhemy says, adding that such data gives its agents a competitive advantage by enabling them to reach out to a selective set of potential buyers first.

Data Lake 89

Data Lake Digital Transformation Machine Learning Data Architecture 89

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 87

Data Warehouse Data Lake Optimization Data-driven 87

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 87

Data Warehouse Data Lake Cost-Benefit Structured Data 87

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. Using Big Data to Fix Your Biggest Problems as a Business Owner.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

AWS Big Data

APRIL 19, 2023

Building an optimal data system As data grows at an extraordinary rate, data proliferation across your data stores, data warehouse, and data lakes can become a challenge. This performance innovation allows Nasdaq to have a multi-use data lake between teams.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Smart Data Collective

NOVEMBER 30, 2020

Automation is a growing market throughout the world. Data automation, in particular, can offer some tremendous benefits. Understanding the Phenomenal Benefits of Data Automation. Could big data automation be a viable option for your company as well? What Does Data Automation Do and What Are Its Limitations?

Big Data 83

Big Data Data Lake ROI Marketing 83

Smart Data Collective

DECEMBER 13, 2022

However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance. Data analytics and visualization help with many such use cases. It is the time of big data.

Visualization 135

Visualization Key Performance Indicator Sales Data Lake 135

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

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Juice Analytics

MAY 11, 2020

Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative. But seriously, reporting? We’re guilty of gravitating to concepts that seems to have more curb appeal.

Reporting 115

Reporting Analytics IT Data Lake 115

AWS Big Data

NOVEMBER 15, 2023

Connect with experts, meet with book authors on data warehousing and analytics (at the Meet the Authors event on November 29 and 30, 3:00 PM – 4:00 PM), win prizes, and learn all about the latest innovations from our AWS Analytics services. About the author Sunaina AbdulSalah leads product marketing for Amazon Redshift.

Data Lake 65

Data Lake Data Warehouse B2B Deep Learning 65