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 125

Data Lake Metadata Statistics Optimization 125

AWS Big Data

OCTOBER 29, 2024

This led to inefficiencies in data governance and access control. AWS Lake Formation is a service that streamlines and centralizes the data lake creation and management process. The Solution: How BMW CDH solved data duplication The CDH is a company-wide data lake built on Amazon Simple Storage Service (Amazon S3).

Data Lake 89

Data Lake Sales Metadata Machine Learning 89

AWS Big Data

AUGUST 31, 2023

Amazon Redshift enables you to directly access data stored in Amazon Simple Storage Service (Amazon S3) using SQL queries and join data across your data warehouse and data lake. With Amazon Redshift, you can query the data in your S3 data lake using a central AWS Glue metastore from your Redshift data warehouse.

Data Lake 108

Data Lake Data Warehouse Metadata Data Architecture 108

AWS Big Data

APRIL 3, 2024

licensed, 100% open-source data table format that helps simplify data processing on large datasets stored in data lakes. Data engineers use Apache Iceberg because it’s fast, efficient, and reliable at any scale and keeps records of how datasets change over time.

Data Lake 106

Data Lake Snapshot Metadata Data Architecture 106

DataKitchen

DECEMBER 6, 2022

We are excited that Gartner released its ‘Market Guide to DataOps’ ! The document they wrote is exceptionally close to what we see in the market and what our products do ! The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools.

Software 130

Software Marketing Data Lake Testing 130

AWS Big Data

SEPTEMBER 26, 2024

For many organizations, this centralized data store follows a data lake architecture. Although data lakes provide a centralized repository, making sense of this data and extracting valuable insights can be challenging. About the Authors Dave Horne is a Sr.

Data Lake 101

Data Lake Cost-Benefit Unstructured Data Modeling 101

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

AWS Big Data

MARCH 13, 2025

Unified access to your data is provided by Amazon SageMaker Lakehouse , a unified, open, and secure data lakehouse built on Apache Iceberg open standards. The data engineer asks Amazon Q Developer to identify datasets that contain lead data and uses zero-ETL integrations to bring the data into SageMaker Lakehouse.

Analytics 92

Analytics Data Lake Data Warehouse Data-driven 92

David Menninger's Analyst Perspectives

JANUARY 21, 2025

ISGs Market Lens Cloud Study illustrates the extent to which the database market is now dominated by cloud, with 58% of participants deploying more than one-half of database and data platform workloads on cloud. million revenue in the second quarter of fiscal 2025.

Data Lake 130

Data Lake IoT Cost-Benefit Enterprise 130

DataKitchen

AUGUST 19, 2021

During the launch phase, the focus is on marketing to patients through consumer channels. As generic alternatives become available, the market enters the maturity phase where cost efficiency and margins become most important. There are different teams within the pharmaceutical company that focus on the respective target markets.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

Jet Global

SEPTEMBER 4, 2020

There is an established body of practice around creating, managing, and accessing OLAP data (known as “cubes”). Data Lakes. There has been a lot of talk over the past year or two in the D365F&SCM world about “data lakes.” Traditional databases and data warehouses do not lend themselves to that task.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 93

Data Lake Data Warehouse Marketing Management 93

AWS Big Data

DECEMBER 4, 2024

With improved access and collaboration, you’ll be able to create and securely share analytics and AI artifacts and bring data and AI products to market faster. This innovation drives an important change: you’ll no longer have to copy or move data between data lake and data warehouses.

Data Analytics 86

Data Analytics Analytics Data Lake Data Quality 86

AWS Big Data

JANUARY 9, 2025

Simplified data corrections and updates Iceberg enhances data management for quants in capital markets through its robust insert, delete, and update capabilities. Unlike direct Amazon S3 access, Iceberg supports these operations on petabyte-scale data lakes without requiring complex custom code. alias("day")).distinct().count().show(truncate=False)

Metadata 107

Metadata Snapshot Cost-Benefit Optimization 107

CIO Business Intelligence

OCTOBER 23, 2024

For our pediatrics business, we’re using data to improve our marketing efforts to better recruit foster care providers, and to help us see where the greatest needs are by state, region, and program. We pulled these people together, and defined use cases we could all agree were the best to demonstrate our new data capability.

Enterprise 119

Enterprise Dashboards KPI Data Lake 119

DataKitchen

NOVEMBER 29, 2021

The global AI market is projected to grow at a compound annual growth rate (CAGR) of 33% through 2027 , drawing upon strength in cloud-computing applications and the rise in connected smart devices. For example, a Hub-Spoke architecture could integrate data from a multitude of sources into a data lake. AI Accountability.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

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 76

Data Lake Dashboards Cost-Benefit Data Warehouse 76

DataKitchen

JANUARY 25, 2022

The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. When internal resources fall short, companies outsource data engineering and analytics.

Consulting 244

Consulting Testing Data Lake Data Quality 244

DataKitchen

AUGUST 27, 2021

During the product launch, everyone in the sales and marketing organizations is hyper-focused on business development. Marketing invests heavily in multi-level campaigns, primarily driven by data analytics. The data team must be able to respond rapidly and with a high degree of quality and certainty to user requests.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

David Menninger's Analyst Perspectives

OCTOBER 31, 2024

I previously wrote about the importance of open table formats to the evolution of data lakes into data lakehouses. The concept of the data lake was initially proposed as a single environment where data could be combined from multiple sources to be stored and processed to enable analysis by multiple users for multiple purposes.

Data Lake 130

Data Lake Unstructured Data Data Warehouse Software 130

CIO Business Intelligence

JULY 31, 2024

With this platform, Salesforce seeks to help organizations apply the cleverness of LLMs to the customer data they have squirreled away in Salesforce data lakes in the hopes of selling more. In the past, the part of Einstein labeled “AI” was more for data analysis and prediction. What is Einstein 1 Studio?

Data Lake 119

Data Lake IT Sales Experimentation 119

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

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 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

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 60

Data Lake Metadata Cost-Benefit Data Warehouse 60

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

CIO Business Intelligence

JUNE 9, 2022

Lately, however, the term has been adopted by marketing teams, and many of the data management platforms vendors currently offer are tuned to their needs. In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely.

Management 144

Management Advertising Data Lake Sales 144

AWS Big Data

JANUARY 15, 2025

cycle_end"', "sagemakedatalakeenvironment_sub_db", ctas_approach=False) A similar approach is used to connect to shared data from Amazon Redshift, which is also shared using Amazon DataZone. datazone_env_twinsimsilverdata"."cycle_end";') She can reached via LinkedIn. Siamak Nariman is a Senior Product Manager at AWS.

IoT 101

IoT Machine Learning Metadata Data-driven 101

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 83

Data Lake Data Science Recreation/Entertainment Data-driven 83

AWS Big Data

JUNE 25, 2024

In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights. Connection to Amazon Redshift is established by deploying a data stream in Salesforce Data Cloud.

Data Lake 112

Data Lake Cost-Benefit Data-driven Data Warehouse 112

CIO Business Intelligence

NOVEMBER 25, 2022

As part of that transformation, Agusti has plans to integrate a data lake into the company’s data architecture and expects two AI proofs of concept (POCs) to be ready to move into production within the quarter. Today, we backflush our data lake through our data warehouse.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

AWS Big Data

AUGUST 8, 2024

Today’s data lakes are expanding across lines of business operating in diverse landscapes and using various engines to process and analyze data. Traditionally, SQL views have been used to define and share filtered data sets that meet the requirements of these lines of business for easier consumption.

Data Lake 100

Data Lake Sales Marketing Big Data 100

AWS Big Data

OCTOBER 21, 2024

However, enterprises often encounter challenges with data silos, insufficient access controls, poor governance, and quality issues. Embracing data as a product is the key to address these challenges and foster a data-driven culture. Typically, resellers don’t provide their partners direct access to their customer data.

Sales 105

Sales Data-driven Data Processing Key Performance Indicator 105

DataKitchen

SEPTEMBER 18, 2024

A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. Who should make the change (data engineers, system owners, or data quality professionals).

Scorecard 177

Scorecard Data Quality Measurement Testing 177

DataKitchen

JANUARY 3, 2022

Customers and market forces drive deadlines and timeframes for analytics deliverables regardless of the level of effort required. Business analytic teams field an endless stream of questions from marketing and salespeople and they can’t get ahead. IT-created infrastructure such as a data lake/warehouse).

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

NOVEMBER 4, 2022

Then the data is consumed by SaaS-based computational tools, but it still sits within our organization and sits within the controls of our cloud-based solutions.” Much of Regeneron’s data, of course, is confidential. For that reason, many of its data tools — and even its data lake — were built in-house using AWS. “We

Data Lake 124

Data Lake IT Experimentation Data-driven 124

CIO Business Intelligence

JUNE 29, 2022

Azure Data Explorer is used to store and query data in services such as Microsoft Purview, Microsoft Defender for Endpoint, Microsoft Sentinel, and Log Analytics in Azure Monitor. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

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 it does seem to eluding the attention of analytics vendors who want to build lakes, predict outcomes, learn deeply, and tell stories.

Reporting 134

Reporting Analytics IT Data Lake 134