AWS Big Data

MARCH 18, 2024

Many organizations operate data lakes spanning multiple cloud data stores. In these cases, you may want an integrated query layer to seamlessly run analytical queries across these diverse cloud stores and streamline your data analytics processes. This serves as the S3 data lake data for this post.

Data Lake 128

Data Lake Analytics Cost-Benefit Management 128

Smart Data Collective

SEPTEMBER 23, 2020

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

DataKitchen

DECEMBER 9, 2024

A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. It is necessary to have more than a data lake and a database.

Data Quality 161

Data Quality Data Lake Testing Statistics 161

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. This allowed customers to scale read analytics workloads and offered isolation to help maintain SLAs for business-critical applications.

Data Lake 96

Data Lake Data Warehouse Data-driven Optimization 96

DataKitchen

JANUARY 3, 2022

Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. In business analytics, fire-fighting and stress are common. Analytics Hub and Spoke.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Smart Data Collective

APRIL 24, 2020

Perhaps one of the biggest perks is scalability, which simply means that with good data lake ingestion a small business can begin to handle bigger data numbers. The reality is businesses that are collecting data will likely be doing so on several levels. Data Analytics Simplified. Proper Scalability.

Data Lake 131

Data Lake Data Collection Deep Learning Management 131

DataKitchen

AUGUST 27, 2021

Marketing invests heavily in multi-level campaigns, primarily driven by data analytics. This analytics function is so crucial to product success that the data team often reports directly into sales and marketing. As figure 2 summarizes, the data team ingests data from hundreds of internal and third-party sources.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

AWS Big Data

JUNE 10, 2024

In this blog post, we dive into different data aspects and how Cloudinary breaks the two concerns of vendor locking and cost efficient data analytics by using Apache Iceberg, Amazon Simple Storage Service (Amazon S3 ), Amazon Athena , Amazon EMR , and AWS Glue.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

Corinium

JUNE 6, 2019

Will you please describe your role at Fractal Analytics? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Analytics 250

Analytics Insurance Forecasting Deep Learning 250

Smart Data Collective

MARCH 30, 2022

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses. Determine your preparedness.

Data Lake 116

Data Lake Cost-Benefit Data Warehouse Big Data 116

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. In our opinion, both terms, agile BI and agile analytics, are interchangeable and mean the same. What Is Agile Analytics And BI? Agile Business Intelligence & Analytics Methodology.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Smart Data Collective

APRIL 2, 2019

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation.

Data Lake 106

Data Lake Big Data OLAP Testing 106

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 130

Data Lake Metadata Statistics Optimization 130

AWS Big Data

FEBRUARY 13, 2025

Amazon SageMaker Unified Studio (preview) provides a unified experience for using data, analytics, and AI capabilities. You can use familiar AWS services for model development, generative AI, data processing, and analyticsall within a single, governed environment. She can be reached via LinkedIn.

Data Analytics 72

Data Analytics Analytics Modeling Data-driven 72

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. 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.

Data Lake 136

Data Lake Data Processing Metadata Snapshot 136

AWS Big Data

OCTOBER 1, 2024

Amazon Redshift enables you to efficiently query and retrieve structured and semi-structured data from open format files in Amazon S3 data lake without having to load the data into Amazon Redshift tables. Amazon Redshift extends SQL capabilities to your data lake, enabling you to run analytical queries.

Data Lake 115

Data Lake Statistics Broadcasting Optimization 115

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. Clean up To avoid incurring future charges, delete the resources you created.

Data Lake 114

Data Lake Cost-Benefit Unstructured Data Modeling 114

Timo Elliott

MAY 27, 2022

I was at the Gartner Data & Analytics conference in London a couple of weeks ago and I’d like to share some thoughts on what I think was interesting, and what I think I learned…. First, data is by default, and by definition, a liability , because it costs money and has risks associated with it.

Data Analytics 124

Data Analytics Analytics Recreation/Entertainment Data Lake 124

AWS Big Data

JANUARY 6, 2025

Google Analytics 4 (GA4) provides valuable insights into user behavior across websites and apps. But what if you need to combine GA4 data with other sources or perform deeper analysis? It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

Smart Data Collective

AUGUST 7, 2019

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. The best thing that you can do is find some data analytics tools to solve your most pressing challenges. There are many benefits to data analytics.

Data Analytics 111

Data Analytics Analytics Big Data Advertising 111

AWS Big Data

DECEMBER 4, 2024

With this new functionality, customers can create up-to-date replicas of their data from applications such as Salesforce, ServiceNow, and Zendesk in an Amazon SageMaker Lakehouse and Amazon Redshift. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

Data Integration 113

Data Integration Data Lake Statistics Data-driven 113

DataKitchen

NOVEMBER 4, 2021

The requirement to integrate enormous quantities and varieties of data coupled with extreme pressure on analytics cycle time has driven the pharmaceutical industry to lead in DataOps adoption. The bottom line is how to attain analytic agility? 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

SEPTEMBER 10, 2024

We often see requests from customers who have started their data journey by building data lakes on Microsoft Azure, to extend access to the data to AWS services. In such scenarios, data engineers face challenges in connecting and extracting data from storage containers on Microsoft Azure.

Data Lake 111

Data Lake Metadata Management Software 111

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake 131

Data Lake Testing Big Data Management 131

AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 101

Data Analytics Analytics IoT Data Lake 101

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

AUGUST 9, 2023

The combination of a data lake in a serverless paradigm brings significant cost and performance benefits. By monitoring application logs, you can gain insights into job execution, troubleshoot issues promptly to ensure the overall health and reliability of data pipelines.

Data Lake 98

Data Lake Metrics Testing Cost-Benefit 98

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Enhance agility by localizing changes within business domains and clear data contracts. Eliminate centralized bottlenecks and complex data pipelines.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Timo Elliott

NOVEMBER 21, 2022

Last week I was in beautiful Sydney, Australia for the Gartner Data and Analytics Conference. Here’s a quick video summary: One of the big things that struck me was the changing role of data. Data is useless. You actually have to change something in the way you do business.

Data Analytics 98

Data Analytics Analytics Recreation/Entertainment Data Lake 98

AWS Big Data

JUNE 10, 2024

Use cases for Hive metastore federation for Amazon EMR Hive metastore federation for Amazon EMR is applicable to the following use cases: Governance of Amazon EMR-based data lakes – Producers generate data within their AWS accounts using an Amazon EMR-based data lake supported by EMRFS on Amazon Simple Storage Service (Amazon S3)and HBase.

Data Lake 113

Data Lake Metadata Data Warehouse Data Processing 113

DataKitchen

NOVEMBER 29, 2021

As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. Instead of allowing technology to be a barrier to teamwork, leading data organizations in 2022 will further expand the automation of workflows to improve and facilitate communication and coordination between the groups.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Jet Global

NOVEMBER 5, 2020

Option 3: Azure Data Lakes. This leads us to Microsoft’s apparent long-term strategy for D365 F&SCM reporting: Azure Data Lakes. Azure Data Lakes are highly complex and designed with a different fundamental purpose in mind than financial and operational reporting. Data lakes are not a mature technology.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Sisense

MAY 28, 2019

2019 can best be described as an era of modern cloud data analytics. Convergence in an industry like data analytics can take many forms. We have seen industry rollups in which firms create a collection of analytical tools under one brand. The allure of operationalizing BI in-data is its perceived simplicity.

Data Analytics 89

Data Analytics Data Lake Analytics Unstructured Data 89

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. This zero-ETL integration reduces the complexity and operational burden of data replication to let you focus on deriving insights from your data.

Analytics 60

Analytics Data Lake Metadata Data Warehouse 60

DataKitchen

AUGUST 3, 2021

First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Second-generation – gigantic, complex data lake maintained by a specialized team drowning in technical debt. See the pattern?

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes.

Analytics 179

Analytics Data Warehouse Business Intelligence Software 179

AWS Big Data

FEBRUARY 14, 2023

Organizations have chosen to build data lakes on top of Amazon Simple Storage Service (Amazon S3) for many years. A data lake is the most popular choice for organizations to store all their organizational data generated by different teams, across business domains, from all different formats, and even over history.

Data Lake 98

Data Lake Statistics Data Architecture Finance 98