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.

Data Analytics 72

Data Analytics Analytics Modeling Management 72

AWS Big Data

JULY 10, 2024

The AWS Glue Studio visual editor is a graphical interface that enables you to create, run, and monitor data integration jobs in AWS Glue. The new data preparation interface in AWS Glue Studio provides an intuitive, spreadsheet-style view for interactively working with tabular data. Choose Create policy.

Interactive 115

Interactive Visualization Data Integration Statistics 115

Corinium

JUNE 6, 2019

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. 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.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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 99

Data Analytics Analytics IoT Data Lake 99

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight.

Data Lake 97

Data Lake Visualization Dashboards Insurance 97

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 84

Metadata Data Lake Dashboards Interactive 84

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. Apache Iceberg is an open table format for very large analytic datasets.

Data Lake 98

Data Lake Data Science Recreation/Entertainment Experimentation 98

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. What Is Data Analytics?

Visualization 145

Visualization Key Performance Indicator Sales Advertising 145

AWS Big Data

NOVEMBER 7, 2024

Let’s ask Amazon Q “Can you give me the total sales for 1998, from different sales channels, using a union of the sales data from different channels?” Let’s try logging in with a different user and see how Amazon Q generative SQL interacts with that user. Let’s dive deeper into some other capabilities of Amazon Q generative SQL.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

Dataiku

SEPTEMBER 1, 2023

Lately, the concept of data experience has been gaining attention in discussions around the enterprise data stack. As the name suggests, it refers to how people interact with data in enterprise settings. Due to fragmented data setups in these companies, their data lakes have the following characteristics:

Data Lake 69

Data Lake Data Analytics Analytics Interactive 69

datapine

APRIL 15, 2020

17 software developers met to discuss lightweight development methods and subsequently produced the following manifesto : Manifesto for Agile Software Development: Individuals and interactions over processes and tools. Top 10 Tips For Agile BI & Analytics Development. Working software over comprehensive documentation.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

DECEMBER 4, 2024

In today’s data-driven world , organizations are constantly seeking efficient ways to process and analyze vast amounts of information across data lakes and warehouses. This post will showcase how this data can also be queried by other data teams using Amazon Athena. Verify that you have Python version 3.7

Data Lake 115

Data Lake Metadata Insurance Data-driven 115

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Explorer. Azure Data Lake Analytics.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

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

AWS Big Data

APRIL 30, 2024

Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. Configure an IAM role to interact with Amazon Q. His team works on distributed systems & new interfaces for data integration and efficiently managing data lakes on AWS.

Data Integration 127

Data Integration Data Lake Data Warehouse Software 127

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 98

Data Lake Data Warehouse Machine Learning Data-driven 98

AWS Big Data

MARCH 1, 2023

Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. We include a code tutorial for you to deploy the resources to run the solution on sample data or your own data.

Data Lake 105

Data Lake Deep Learning Interactive Machine Learning 105

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 115

Data Lake Sales Marketing Big Data 115

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.

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Data Lake Data Warehouse Machine Learning Data-driven 94

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 Data Warehouse 52

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.

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Testing Dashboards Data Lake Data Science 130

AWS Big Data

FEBRUARY 29, 2024

Unstructured data is typically stored across siloed systems in varying formats, and generally not managed or governed with the same level of rigor as structured data. On the backend, the batch data engineering processes refreshing the enterprise data lake need to expand to ingest, transform, and manage unstructured data.

Data Governance 122

Data Governance Unstructured Data Metadata Data Lake 122

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 96

Data Lake Testing Interactive Unstructured Data 96

AWS Big Data

SEPTEMBER 12, 2024

This is just the tip of the iceberg, because what enables you to obtain differential value from generative AI is your data. This data is derived from your purpose-built data stores and previous interactions. Semantic context – Is there any meaningfully relevant data that would help the FMs generate the response?

Management 100

Management Analytics Data Lake Interactive 100

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation. “I But there is more room to go.

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Digital Transformation IoT Data-driven KPI 144

Jen Stirrup

MAY 5, 2020

Organizations need to recast storing their data. It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. You can also use Azure Data Lake storage as well, which is optimized for high-performance analytics.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

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 142

Forecasting Manufacturing Data Lake Big Data 142

AWS Big Data

JUNE 8, 2023

This data is often stored and analyzed using various tools, such as Amazon OpenSearch Service , a powerful search and analytics service offered by AWS. OpenSearch Service provides real-time insights into your data to support use cases like interactive log analytics, real-time application monitoring, website search, and more.

Data Lake 97

Data Lake Dashboards Metrics Testing 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. Analytics Architect on Amazon Athena.

Data Lake 124

Data Lake Visualization Optimization Interactive 124

AWS Big Data

AUGUST 19, 2024

This report is essential for understanding revenue streams, identifying opportunities for optimization, and making data-driven decisions regarding pricing and promotions. Refer to Editing AWS Glue managed data transform nodes for more information. Stop any AWS Glue interactive sessions. For Workgroup , choose blog-workgroup.

Analytics 118

Analytics Data-driven Data Integration Data Lake 118

CIO Business Intelligence

MARCH 10, 2022

Next up: AI and data lake decisions. To that end, UAB’s next step is to tackle big decisions around expanding its AI and data analytics platforms, says Carver, who is not handling the long-term planning alone. But the work in support of the university’s research endeavors is rewarding. What humans can do is awesome.

IT 98

IT Data Lake Digital Transformation Data Governance 98

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

Cloudera

JUNE 13, 2024

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies. But, What Happened to Hadoop?

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Big Data Machine Learning Contextual Data Data Lake 103

AWS Big Data

MARCH 25, 2024

AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data. To understand the best ways to make API calls via Apache Flink, refer to Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink.

Data Lake 118

Data Lake Unstructured Data Management Snapshot 118

Cloudera

JANUARY 18, 2022

As a result of this innovative data solution, the company helped customers while keeping its default rate low. . The bank also used its data lake to feed a real-time dashboard that tracked employee health which led to better support for employees. As a result of the pandemic, everyone is doing more online.

Data Lake 96

Data Lake Digital Transformation Data-driven Dashboards 96

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 104

Measurement Dashboards Data Warehouse Analytics 104

IBM Big Data Hub

OCTOBER 4, 2023

Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics. from 2022 to 2026. Later this year, watsonx.data will infuse watsonx.ai

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77