CIO Business Intelligence

JUNE 23, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Warehouses are vertically integrated for SQL Analytics, whereas Lakes prioritize flexibility of analytic methods beyond SQL. Iterations of the lakehouse.

Data Lake 98

Data Lake Data Warehouse Machine Learning Cost-Benefit 98

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Warehouses are vertically integrated for SQL Analytics, whereas Lakes prioritize flexibility of analytic methods beyond SQL. Iterations of the lakehouse.

Data Lake 93

Data Lake Data Warehouse Machine Learning Cost-Benefit 93

Cloudera

JULY 18, 2022

In this blog we will explore how we can use Apache Flink to get insights from data at a lightning-fast speed, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required). This is especially important for time-critical applications. Use case recap.

Analytics 91

Analytics Dashboards Statistics Visualization 91

IBM Big Data Hub

APRIL 29, 2024

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management. You can read more about why Velox was built in Meta’s engineering blog.

Management 70

Management Optimization Data Processing Metrics 70

AWS Big Data

AUGUST 16, 2023

We then use the ADA Query Workbench to join the separate datasets and query the correlated data, using familiar Structured Query Language (SQL), to gain insights. We then use the ADA Query Workbench to join the separate datasets and query the correlated data, using familiar Structured Query Language (SQL), to gain insights.

Data Analytics 72

Data Analytics Analytics Visualization Software 72

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files. Table formats like Apache Iceberg provide solutions to these issues.

Data Lake 99

Data Lake Sales Data Warehouse Snapshot 99

AWS Big Data

NOVEMBER 28, 2023

Through customer feedback, we learned that lot of undifferentiated time and resources go towards building and managing ETL pipelines between transactional databases and data warehouses. Zero-ETL is a set of integrations that eliminates the need to build ETL data pipelines.

Data Warehouse 90

Data Warehouse Data-driven Machine Learning B2B 90

AWS Big Data

MARCH 27, 2023

In this workflow, data is written to Amazon S3 through the Confluent S3 sink connector and then analyzed with Athena, a serverless interactive analytics service that enables you to analyze and query data stored in Amazon S3 and various other data sources using standard SQL. Today, Kafka is well known and widely used for streaming data.

Visualization 72

Visualization Data Lake Interactive Data-driven 72

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Configuration: F irst, HBase and Spark need to be configured together for Spark SQL queries to work properly. Prerequisites: Have a CDP cluster with HBase and Spark.

Machine Learning 133

Machine Learning Data Science Management Enterprise 133

AWS Big Data

FEBRUARY 12, 2024

Public health organizations need access to data insights that they can quickly act upon, especially in times of health emergencies, when data needs to be updated multiple times daily. This allows public health teams to monitor the most recent insights without manual updates.

Publishing 87

Publishing Dashboards Metadata Visualization 87

AWS Big Data

OCTOBER 17, 2023

With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. You could identify the changed rows, perhaps using a filter on update timestamps, or you could modify your extract, transform, and load (ETL) process to write to both the source and target databases.

Data Warehouse 82

Data Warehouse Data Processing Data Lake Management 82

Cloudera

JANUARY 13, 2021

In this installment, we’ll discuss how to do Get/Scan Operations and utilize PySpark SQL. join( """{. If you replace the catalog in the example above with this one, table.show() will show you a PySpark Dataframe with only those two columns. Executing df.show() will give you: Spark SQL with PySpark. getOrCreate().

Machine Learning 52

Machine Learning Data Science Modeling IT 52

AWS Big Data

JULY 28, 2023

You can use Athena to run SQL queries on petabytes of data stored on Amazon Simple Storage Service (Amazon S3) in widely used formats such as Parquet and open-table formats like Apache Iceberg, Apache Hudi, and Delta Lake. In Athena, we refer to queries on non-Amazon S3 data sources as federated queries. Let’s dive into the solution.

Big Data 76

Big Data Data Architecture Data Lake Interactive 76

AWS Big Data

SEPTEMBER 18, 2023

In the second cell, update the interactive session configuration by setting the following: Worker type to G.1X Many customers are interested in boosting productivity in their software development lifecycle by using generative AI. It also helps beginner-level programmers write their first lines of code.

Data Integration 93

Data Integration Big Data Interactive Software 93

Sisense

APRIL 17, 2020

This article only scratches the surface of the ways materialized views of all kinds, from SQL server materialized views and Postgres materialized views to a wide array of other systems are changing analytics and data. We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations.

Data Warehouse 90

Data Warehouse Visualization Statistics Machine Learning 90

AWS Big Data

FEBRUARY 1, 2024

Trade quality and optimization – In order to monitor and optimize trade quality, you need to continually evaluate market characteristics such as volume, direction, market depth, fill rate, and other benchmarks related to the completion of trades. The solution should be scalable, cost-efficient, and straightforward to adopt and operate.

Data Warehouse 120

Data Warehouse Dashboards Risk Management Risk 120

AWS Big Data

JULY 27, 2023

You can use the Amazon Redshift streaming ingestion capability to update your analytics databases in near-real time. Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. The streaming data gets ingested into a JSON payload.

Data Warehouse 80

Data Warehouse Analytics Metadata Dashboards 80

IBM Big Data Hub

OCTOBER 17, 2023

In a research brief defining “5 trends for 2023,” the IBM Institute for Business Value reports, “In 2023, rapid response is the new baseline. Uncertainty is expected and complexity is compounding. As threats materialize on multiple fronts, organizations must reduce the time from insight to action.”

Data-driven 84

Data-driven Cost-Benefit Uncertainty Dashboards 84

AWS Big Data

MAY 2, 2023

Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses. Amazon Redshift Query Editor V2 makes it easy to query your data using SQL and gain insights by visualizing your results using charts and graphs with a few clicks.

Data Warehouse 60

Data Warehouse Software Visualization IoT 60

AWS Big Data

JUNE 29, 2023

Therefore, over time, multiple Data Definition Language (DDL) or Data Control Language (DCL) queries, such as CREATE, ALTER, DROP, GRANT, or REVOKE SQL queries, are run on the Amazon Redshift data warehouse, which are sensitive in nature because they could lead to dropping tables or deleting data, causing disruptions or outages.

Data Warehouse 58

Data Warehouse Dashboards Testing Visualization 58

AWS Big Data

AUGUST 3, 2023

Although it’s straightforward to apply updates on a relational database management system (RDBMS) that backs an online source application, it’s difficult to apply this CDC process on your data lakes. Data analytics on operational data at near-real time is becoming a common need.

Data Lake 76

Data Lake Visualization Dashboards Insurance 76

AWS Big Data

JUNE 28, 2023

While all of this is happening—a process that can take days—data analysts can’t run interactive analysis or build dashboards, data scientists can’t build machine learning (ML) models or run predictions, and end-users can’t make data-driven decisions. Challenges with ETL What is ETL?

Analytics 66

Analytics Data Warehouse Data Lake Data-driven 66

AWS Big Data

APRIL 20, 2023

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Amazon Redshift admins can easily identify the SQL generated from Spark-based applications.

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

AWS Big Data

JULY 14, 2023

He recently joined a Tier 1 bank. The technology landscape has been evolving rapidly, with waves of change impacting IT from every angle. It is causing a ripple effect across IT organizations and shifting the way IT delivers applications and services. Use case overview Bob is a Senior Enterprise Architect.

Modeling 67

Modeling Visualization Reporting Measurement 67

Jet Global

APRIL 2, 2019

There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built. There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Sisense

JULY 7, 2020

Using the languages of data (SQL, and soon Python and R), data teams can reduce database workloads and optimize query performance directly from the cloud data warehouse. Organizations can now update the entire look and feel of their analytics applications with unparalleled freedom. Sisense AI Trends.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

FineReport

JULY 6, 2022

Developed by Microsoft, Power BI is very friendly for users who are familiar with Microsoft products such as Azure, Excel, and SQL. But beginners may feel overwhelmed by the difficulty of learning the operations before visualizing data. FineReport targets users with basic SQL knowledge, especially IT professionals. Data Sources.

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

Cloudera

DECEMBER 21, 2020

You will learn all the parts of Cloudera’s Data Platform that together will accelerate your everyday Data Worker tasks. This demo-guided blog aims to inspire further curiosity and learning, as well as fuel a fruitful, interactive dialogue – we welcome you to reach out to us if any particular part piques your interest. .

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

Alation

NOVEMBER 28, 2022

To learn more, I sat down with the product creators for an interview. This means that business users can reduce their reliance on IT and data teams for access to data, all without having to learn a new tool. The release of 2022.4 Let’s dive in. What is Alation Connected Sheets ? Microsoft has shared that more than 1.5

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Ms SQL Girl

MAY 19, 2016

As you may already know In-database Analytics (also known as Advanced Analytics) is available in SQL Server 2016. To simplify, “In-database Advanced Analytics”: you can run powerful statistical / predictive modelling (from R) inside SQL Server. Check Out SQL Latest Bits. Read the official definition here.

Visualization 45

Visualization Predictive Modeling Statistics Reporting 45

Ms SQL Girl

MAY 19, 2016

As you may already know In-database Analytics (also known as Advanced Analytics) is available in SQL Server 2016. To simplify, “In-database Advanced Analytics”: you can run powerful statistical / predictive modelling (from R) inside SQL Server. Check Out SQL Latest Bits. Read the official definition here.

Visualization 40

Visualization Predictive Modeling Statistics Reporting 40

Alation

JUNE 14, 2023

Here’s what she learned: ​​ These pain points around data all result from not having a modern data culture. Every organization wants to better serve its customers, and that goal is often achieved through data. So why not make data a part of it?” We didn’t have access to hundreds of data engineers out in the marketplace,” Lavorini points out.

Data-driven 52

Data-driven Finance Uncertainty Digital Transformation 52

Jet Global

AUGUST 14, 2019

There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built. Read: AI vs BI for Business. What Do You Need? But how can you do that? Enter business intelligence (or BI) software. Read: The Enterprise AI Revolution Starts with BI.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Jet Global

OCTOBER 2, 2019

There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built. Read: AI vs BI for Business. What Do You Need? But how can you do that? Enter business intelligence (or BI) software. Read: The Enterprise AI Revolution Starts with BI.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

AWS Big Data

JUNE 29, 2023

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. Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time.

Data Analytics 71

Data Analytics Analytics IoT Data Lake 71

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift is available in both serverless and provisioned configurations.

Data Lake 90

Data Lake Data Warehouse Metadata Data Architecture 90