AWS Big Data

JANUARY 15, 2025

The applications are hosted in dedicated AWS accounts and require a BI dashboard and reporting services based on Tableau. AWS Database Migration Service (AWS DMS) is used to securely transfer the relevant data to a central Amazon Redshift cluster. AWS DMS tasks are orchestrated using AWS Step Functions.

IoT 106

IoT Machine Learning Metadata Data-driven 106

AWS Big Data

DECEMBER 10, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets.

Sales 99

Sales Metadata Enterprise Testing 99

AWS Big Data

AUGUST 13, 2024

You will load the event data from the SFTP site, join it to the venue data stored on Amazon S3, apply transformations, and store the data in Amazon S3. The event and venue files are from the TICKIT dataset. Access to an SFTP server with permissions to upload and download data. Choose Store a new secret.

Data Processing 106

Data Processing Visualization Data Lake Data Processing 106

AWS Big Data

MAY 16, 2024

Zero-ETL will perform an initial full load of your collection by doing a collection scan on the primary instance of your Amazon DocumentDB cluster, which may take several minutes to complete depending on the size of the data, and you may notice elevated resource consumption on your cluster. For example, inventory.product.

Data Processing 123

Data Processing Data Warehouse Management Metrics 123

AWS Big Data

SEPTEMBER 5, 2024

The currently available choices include: The Amazon Redshift COPY command can load data from Amazon Simple Storage Service (Amazon S3), Amazon EMR , Amazon DynamoDB , or remote hosts over SSH. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables.

IoT 110

IoT Data Warehouse Cost-Benefit Reporting 110

Smart Data Collective

NOVEMBER 18, 2020

Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Every Data Scientist needs to know Data Mining as well, but about this moment we will talk a bit later. Where to Use Data Science? It hosts a data analysis competition. Practical experience.

Data mining 144

Data mining Data Science Informatics Statistics 144

CIO Business Intelligence

JANUARY 16, 2023

All the logic is still in Java hosted on Amazon’s infrastructure.” Aside from the core cloud services, Choice also uses Amazon RedShift as a front end to its cloud data warehouse, Amazon SageMaker to build machine leaning models, and Amazon Kinesis to collect, process, and analyze real-time data.

Cost-Benefit 144

Cost-Benefit Digital Transformation Data Warehouse Data-driven 144

CIO Business Intelligence

OCTOBER 15, 2024

Another hypothesis: Databricks execs were billion-dollar stoked to stick it to Snowflake by drowning out its event with a buyout its rival reportedly sought. There’s a record of everything – including metadata changes – which paves the way for a host of management and governance capabilities.

Metadata 117

Metadata Data Processing Uncertainty Data Warehouse 117

Juice Analytics

DECEMBER 30, 2019

We like to call Dave one of our “angels” because he truly does work really hard to connect us with potential customers, is a great ally of ours, and always shows up for events that we host in our office. What has impressed you the most about Juice or its team? Tough question, because there is much to admire, enjoy and soak up.

Data Warehouse 91

Data Warehouse Data Processing Consulting Software 91

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in.

Analytics 110

Analytics Data Warehouse Dashboards Testing 110

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 92

Dashboards Data Warehouse Visualization Data Processing 92

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 103

Enterprise Data Warehouse Snapshot Cost-Benefit 103

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. Amazon EventBridge Used as a mechanism to capture Amazon DataZone events and trigger solution’s corresponding workflow.

Metadata 93

Metadata Data Lake Data Processing Data-driven 93

DataRobot Blog

FEBRUARY 28, 2023

This includes: Supporting Snowflake External OAuth configuration Leveraging Snowpark for exploratory data analysis with DataRobot-hosted Notebooks and model scoring. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment. We recently announced DataRobot’s new Hosted Notebooks capability.

Data Processing 72

Data Processing Experimentation Machine Learning Data Warehouse 72

AWS Big Data

MAY 28, 2024

Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams. Part 1 also contains architectural examples for building real-time applications for time series data and event-sourcing microservices.

IoT 111

IoT Analytics Dashboards Data-driven 111

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Cloudera Data Warehouse (CDW) is here to save the day! CDW is an integrated data warehouse service within Cloudera Data Platform (CDP).

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

Cloudera

SEPTEMBER 2, 2020

In short, CDP Private Cloud is a game-changer for Cloudera partners as it provides opportunities to help their customers modernize their data platform by breaking up monolithic architectures without leaving their data centers! . Be on the lookout for events around CDP Private Cloud enablement sessions.

Cost-Benefit 69

Cost-Benefit Data Warehouse Data Lake Machine Learning 69

Jet Global

JULY 23, 2019

insightsoftware’s Excelapalooza, one of the largest Microsoft Excel learning events in the country, is no exception. Who: insightsoftware, now including Jet Global reporting and analytics, is hosting the event for any and all business professionals who use Excel, Jet, Microsoft Dynamics, Epicor, Sage, or any other ERP system.

Dashboards 71

Dashboards Reporting Visualization Data Warehouse 71

Cloudera

AUGUST 31, 2020

Given the prohibitive cost of scaling it, in addition to the new business focus on data science and the need to leverage public cloud services to support future growth and capability roadmap, SMG decided to migrate from the legacy data warehouse to Cloudera’s solution using Hive LLAP. The case for a new Data Warehouse?

Management 66

Management Slice and Dice Data Warehouse Analytics 66

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 129

Data Lake Analytics Dashboards Metrics 129

Cloudera

JANUARY 3, 2019

It’s clear today that the data warehouse industry is undergoing a major transformation. We’ll be hosting a live event on January 10, at 10AM Pacific, 1PM Eastern, to share more details on how the new Cloudera will accelerate innovation and deliver the industry’s first Enterprise Data Cloud. We intend to win.

Machine Learning 75

Machine Learning IoT Data Warehouse Enterprise 75

AWS Big Data

MARCH 26, 2024

You can subscribe to data products that help enrich customer profiles, for example demographics data, advertising data, and financial markets data. Amazon Kinesis ingests streaming events in real time from point-of-sales systems, clickstream data from mobile apps and websites, and social media data.

Data Strategy 83

Data Strategy Strategy Data Warehouse Prescriptive Analytics 83

Cloudera

OCTOBER 25, 2022

Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses. They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. Host-based security.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

IBM Big Data Hub

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 93

Cost-Benefit OLAP Dashboards Visualization 93

Cloudera

JANUARY 11, 2021

I want to thank you all for joining and attending these events! I received hundreds of questions during these events, and my colleagues and I tried to answer as many as we could. NiFi should be seen as the gateway to move data back and forth between heterogeneous environments or in a hybrid cloud architecture.

Data Processing 62

Data Processing Interactive Data Warehouse ROI 62

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. This is due to the technical nature of a data system itself.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

OCTOBER 17, 2023

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. With few conferences curating content specific to streaming developers, Current has historically been an important event for anyone trying to keep a pulse on what’s happening in the streaming space.

Data-driven 79

Data-driven Enterprise IoT Data Warehouse 79

Alation

APRIL 14, 2023

People were familiar with the value of a data catalog (and the growing need for data governance ), though many admitted to being somewhat behind on their journeys. In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. In “The modern data stack is dead, long live the modern data stack!”

Data Warehouse 52

Data Warehouse Data-driven Metadata Digital Transformation 52

Cloudera

APRIL 15, 2021

Along with a host of new features and capabilities, we are improving the upgrade process to be as painless as possible. release and the new in-place upgrade from HDP that completely does away with replacing infrastructure and data migrations. Hive Warehouse Connector (HWC) makes data engineering simpler and faster.

Data Warehouse 70

Data Warehouse Cost-Benefit Management Data Processing 70

AWS Big Data

JANUARY 24, 2023

In this post, you will learn how to build a serverless analytics application using Amazon Redshift Data API and Amazon API Gateway WebSocket and REST APIs. The Data API simplifies access to Amazon Redshift because you don’t need to configure drivers and manage database connections. What are WebSockets and why do we need them?

Analytics 66

Analytics Data-driven Management Reporting 66

AWS Big Data

MARCH 9, 2023

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. Data loading is one of the key aspects of maintaining a data warehouse.

Slice and Dice 94

Slice and Dice Data Warehouse Metrics Metadata 94

Sisense

FEBRUARY 16, 2021

Data warehouses have become intensely important in the modern business world. For many organizations, it’s not uncommon for all their data to be extracted, loaded unchanged into data warehouses, and then transformed via cleaning, merging, aggregation, etc. OLTP does not hold historical data, only current data.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Domino Data Lab

JULY 2, 2019

Of course, if you use several different data management frameworks within your data science workflows—as just about everybody does these days—much of that RDBMS magic vanishes in a puff of smoke. Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?”

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

AWS Big Data

MAY 30, 2023

You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination. To make data-driven decisions in a timely manner, you need to account for missed records and backpressure, and maintain event ordering and integrity, especially if the reference data also changes rapidly.

Data Lake 94

Data Lake Data Analytics Analytics Data Processing 94

Domino Data Lab

APRIL 3, 2019

Fun fact : I co-founded an e-commerce company (realistically, a mail-order catalog hosted online) in December 1992 using one of those internetworking applications called Gopher , which was vaguely popular at the time. Most of the data management moved to back-end servers, e.g., databases. Upcoming Events.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Choose Submit.

Sales 52

Sales Data Warehouse Visualization Testing 52

CIO Business Intelligence

DECEMBER 11, 2024

Manish Limaye Pillar #1: Data platform The data platform pillar comprises tools, frameworks and processing and hosting technologies that enable an organization to process large volumes of data, both in batch and streaming modes. The choice of vendors should align with the broader cloud or on-premises strategy.

Management 111

Management Data Governance Data Science Reporting 111