AWS Big Data

MARCH 19, 2024

For data engineering workloads when AWS Glue is used in such a constrained network configuration, your team may sometimes face hurdles running many jobs simultaneously. When you use overlapping IP addresses, you need an additional network management to establish connectivity. These ENIs are short-lived and active until job is complete.

Optimization 84

Optimization Data-driven Management Testing 84

CIO Business Intelligence

JUNE 14, 2023

CDP Data Analyst The Cloudera Data Platform (CDP) Data Analyst certification verifies the Cloudera skills and knowledge required for data analysts using CDP. Individuals with the certificate understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL, and R.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Analyze the data and then optimize as necessary. Collect data metrics and statistics on the completed tasks.

Testing 96

Testing Data Warehouse Metrics Cost-Benefit 96

AWS Big Data

APRIL 19, 2023

Customers now want to migrate their Apache Hive workloads to Apache Spark in the cloud to get the benefits of optimized runtime, cost reduction through transient clusters, better scalability by decoupling the storage and compute, and flexibility. You can also use this solution to develop new jobs with Spark SQL and process them on Amazon EMR.

Metadata 76

Metadata Testing Data Lake Consulting 76

AWS Big Data

MAY 18, 2023

at AWS re:Invent 2022, which includes many upgrades, such as the new optimized Apache Spark 3.3.0 We can use the command spark.sparkContext.show_profiles() , as shown in the following screenshot. Pushdown filters Pushdown filters are used in more scenarios, such as aggregations or limits. AWS Glue released version 4.0

Testing 74

Testing Data Lake Cost-Benefit Data Integration 74

Sisense

DECEMBER 16, 2020

Most of us don’t have the time to dig deep into the data to get rich intelligence that we can use in our daily and strategic decisions. For every query, Sisense translates live widget information into SQL data. Often, to find those types of insights, you slice, dice, and filter. Now you don’t have to!

Slice and Dice 98

Slice and Dice Analytics Data-driven Reporting 98

AWS Big Data

MARCH 2, 2023

It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. you can use Iceberg with your EMR cluster without requiring a bootstrap action. In real use case, it would be raw data stored in your S3 bucket. Choose Next.

Data Lake 114

Data Lake Data Processing Metadata Snapshot 114

CIO Business Intelligence

OCTOBER 6, 2023

Business analysts (BAs) are responsible for bridging the gap between IT and the business using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders. What is a business analyst?

IT 128

IT Business Analysis Key Performance Indicator Cost-Benefit 128

AWS Big Data

APRIL 24, 2023

However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level. In this post, we show you how to configure Lake Formation using Iceberg table formats. Iceberg is an open table format for very large analytic datasets.

Data Lake 76

Data Lake Data Governance Cost-Benefit Machine Learning 76

Cloudera

SEPTEMBER 9, 2021

Compared to legacy Apache HBase or Phoenix implementations, COD has been architected to enable organizations optimize infrastructure costs, streamline application development lifecycle and accelerate time to value. Technology Cost Optimization. There are two major drivers of technology cost optimization with COD: .

Cost-Benefit 91

Cost-Benefit Optimization Risk Management 91

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. 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).

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

AWS Big Data

JUNE 23, 2023

As part of their solution, they are using Amazon QuickSight to unlock insights from their data. In this post, we explain how Imperva’s solution enables users across the organization to explore, visualize, and analyze data using Amazon Redshift Serverless , Amazon Athena , and QuickSight.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

datapine

JUNE 7, 2022

Learn how to spot the common tricks used to manipulate data and how to avoid the pitfalls for your own visuals. Focus on creating your data visualizations using data with a zero-baseline y-axis and watch out for truncated axes. Using the wrong chart type. Let’s get started. Omitting Data. Why lie when you can just omit?

Visualization 267

Visualization Metrics Statistics Dashboards 267

CIO Business Intelligence

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like. What is data science? The benefits of data science.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

AWS Big Data

APRIL 10, 2024

When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics. For DB cluster identifier , enter zero-etl-source-pg.

Data Warehouse 88

Data Warehouse Analytics Metrics Snapshot 88

CIO Business Intelligence

FEBRUARY 20, 2023

They handle complex tasks such as customizing the platform, configuring advanced security features, and optimizing performance while ensuring the platform aligns with company requirements and goals. Prerequisites include earning Salesforce Application Architect certification (see above).

Consulting 87

Consulting B2B Cost-Benefit Sales 87

AWS Big Data

SEPTEMBER 25, 2023

Amazon Redshift workload management (WLM) helps you maximize query throughput and get consistent performance for the most demanding analytics workloads by optimally using the resources of your existing data warehouse. You can use RBAC to control end-user access to data at a broad or granular level based on their job role.

Management 91

Management Data Warehouse Metrics Dashboards 91

Octopai

APRIL 23, 2022

Are you leaving behind Oracle for Azure Data Factory, SQL Server for Snowflake or SSRS for Power BI? The planning: a key stage of data migration planning is getting an accurate picture of your current data environment and data flow – and then optimizing it. Change planning projects that used to take weeks now take a few minutes.

Visualization 89

Visualization Metrics Reporting Software 89

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve. That’s where data science comes in.

Machine Learning 64

Machine Learning Data Science Statistics Deep Learning 64

Cloudera

FEBRUARY 17, 2021

As a matter of fact, these new challenges gave way to tremendous opportunities for businesses to optimize their key success metrics by leveraging technology. We released the game-changing Streams Messaging Manager a couple of years ago and it shook the Kafka world with its absolute ease of use in curing Kafka blindness.

Metrics 59

Metrics Digital Transformation Manufacturing Technology 59

Cloudera

OCTOBER 8, 2021

Apache Impala is a massively parallel in-memory SQL engine supported by Cloudera designed for Analytics and ad hoc queries against data stored in Apache Hive, Apache HBase and Apache Kudu tables. Supporting powerful queries and high levels of concurrency Impala can use significant amounts of cluster resources. Introduction.

Data Processing 79

Data Processing Statistics Risk Optimization 79

Sisense

FEBRUARY 3, 2021

In its 2020 report “Top 10 Trends in Data and Analytics,” Gartner predicts that only 10% of companies will be using augmented analytics to their full potential. It’s become impossible for humans to make sense of the huge datasets being created daily just by using spreadsheets and manual analysis. There is a massive skillset gap.

Analytics 59

Analytics Forecasting Metrics Data-driven 59

FineReport

JUNE 14, 2023

HR KPI Report Example HR KPI Report Example Numerous corporations necessitate employees to deliver performance presentations on a seasonal or annual basis, which are then used to evaluate their overall performance. This information can be used to identify patterns, seasonality, and trends in sales performance over time.

KPI 52

KPI Reporting Key Performance Indicator Sales 52

Jet Global

OCTOBER 7, 2020

Microsoft offers several native reporting tools for D365 F&SCM: SQL Server Reporting Services (SSRS) is useful for writing simple high-volume reports based on Microsoft Dynamics data, but it’s not suitable for complex reporting needs and can result in bottlenecks and expensive fees for custom development. General Ledger).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

AWS Big Data

APRIL 3, 2023

With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL. You can use Amazon Redshift RSQL to replace existing extract, transform, load (ETL) and automation scripts, such as Teradata BTEQ scripts.

Data Warehouse 95

Data Warehouse Testing Data Lake Data-driven 95

Cloudera

FEBRUARY 9, 2021

Cloudera, an innovator in providing data products to address these types of challenges, has introduced some new products, such as Kudu low-latency storage and Druid high-performance real-time analytics database that have been successfully implemented in the customer on-premises data centres for these types of real-time data warehousing use cases.

Data Warehouse 67

Data Warehouse Cost-Benefit Metadata Management 67

AWS Big Data

JUNE 19, 2023

In this post, we dive deeper into what dataset parameters are, explain the key differences between dataset and analysis parameters, and discuss different use cases for dataset parameters along their benefits. QuickSight analysis parameters are named variables that can transfer a value for use by an action or an object.

Optimization 69

Optimization Slice and Dice Dashboards Recreation/Entertainment 69

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. To help address its clients’ growing cloud needs, Huron is an AWS Partner.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Laminar Security

DECEMBER 11, 2023

In this article, we will explain how to use DDR to gain early warning into data leakage from insider threats and help minimize resulting damages. DDR monitors data activity across endpoints, networks, cloud, and applications using artificial intelligence, machine learning, and behavioral analytics.

Behavioral Analytics 55

Behavioral Analytics Machine Learning Risk Cost-Benefit 55

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. In this post, we show you how to query Iceberg tables using Amazon Redshift, and explore Iceberg support and options.

Data Lake 89

Data Lake Data Warehouse Metadata Data Architecture 89

Sisense

APRIL 26, 2020

In our modern digital world, proper use of data can play a huge role in a business’s success. Most BI tools also know how to work with it, allowing users to optimize resources from a technical perspective. They have numerous advantages over on-premises systems, which explains why everyone is moving to the cloud.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. We populated the tables using INSERT-SELECT statements by reading from text format source tables but they can be populated through any ETL process.

Snapshot 87

Snapshot Metadata Cost-Benefit Data Warehouse 87

Cloudera

OCTOBER 31, 2023

Build AI in Cloudera, powered by generative AI on AWS: Enable AI-powered productivity for data practitioners using Cloudera Data Platform (CDP) by building generative AI features into CDP. Let us dive into what is happening in each of these pillars between AWS and Cloudera.

Machine Learning 98

Machine Learning Cost-Benefit Modeling Interactive 98

Ontotext

SEPTEMBER 23, 2021

So, we started this series by introducing knowledge graphs & their application in data management and how to reason with big knowledge graphs & use graph analytics. Here, we want to talk about our flagship product GraphDB – an enterprise-ready RDF database optimized for the development and operations of knowledge graphs.

Optimization 97

Optimization Business Intelligence Data Collection Enterprise 97

CIO Business Intelligence

JUNE 29, 2022

Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. If you can’t make sense of your business data, you’re effectively flying blind. Microsoft. Azure Analysis Services. Azure Data Explorer.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. Instead, program synthesis can address these issues.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It’s much more.

IT 262

IT Modeling Testing Risk 262