Sisense

MARCH 20, 2019

To do that, a data engineer needs to be skilled in a variety of platforms and languages. In our never-ending quest to make BI better, we took it upon ourselves to list the skills and tools every data engineer needs to tackle the ever-growing pile of Big Data that every company faces today. Python and R. Machine Learning.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

AWS Big Data

JUNE 6, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). The following eksctl command creates a service account scoped to the namespace and service account defined to be used by the executor and driver.

Optimization 68

Optimization Data Lake Cost-Benefit Management 68

AWS Big Data

FEBRUARY 6, 2023

In the post Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool , we introduced the AWS ProServe Hadoop Migration Delivery Kit (HMDK) TCO tool and the benefits of migrating on-premises Hadoop workloads to Amazon EMR. The tool provides a YARN log collector to connect Hadoop Resource Manager to collect YARN logs.

Dashboards 72

Dashboards Optimization Data Lake Cost-Benefit 72

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("abfss:// load("abfss:// @.dfs.core.windows.net/input-csv/covid/")

Data Lake 80

Data Lake Big Data Consulting Data Warehouse 80

Smart Data Collective

JUNE 18, 2019

Big data is a very important part of any digital marketing strategy. There are a number of reasons that machine learning, data analytics and Hadoop technology are changing SEO: Machine learning is becoming more widely used in search engine algorithms. Role of Big Data in Hosting and SEO. Are you surprised?

Data Processing 70

Data Processing Big Data Optimization Machine Learning 70

AWS Big Data

FEBRUARY 6, 2023

When migrating Hadoop workloads to Amazon EMR , it’s often difficult to identify the optimal cluster configuration without analyzing existing workloads by hand. To solve this, we’re introducing the Hadoop migration assessment Total Cost of Ownership (TCO) tool. This could delay the project from being accepted without a good TCO report.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Smart Data Collective

APRIL 8, 2020

The company works consistently to enhance its business intelligence solutions through innovative new technologies including Hadoop-based services. Big data and data warehousing. With such large amounts of data available across industries, the need for efficient big data analytics becomes paramount.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

CIO Business Intelligence

OCTOBER 26, 2023

Some of the top BI certifications include: Certified Business Intelligence Professional (CBIP) IBM Data Analyst Professional Certificate Microsoft Certified: Power BI Data Analyst Associate QlikView Business Analyst SAP Certified Application Associate: SAP BusinessObjects Business Intelligence Platform 4.3

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Smart Data Collective

NOVEMBER 29, 2019

Big data is changing the future of the SEO profession. We have witnessed a number of ways that big data can influence the industry. Some of the changes include the following: Big data can be used to identify new link building opportunities through complicated Hadoop data-mining tools.

Big Data 53

Big Data Marketing Data mining Optimization 53

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Temporal data and time-series.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

Occam's Razor

MARCH 12, 2012

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. No one quite knows.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

AWS Big Data

JULY 20, 2023

Apache Hive is a SQL-based data warehouse system for processing highly distributed datasets on the Apache Hadoop platform. The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table.

Data Lake 77

Data Lake Metadata Data Processing Big Data 77

CIO Business Intelligence

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. As the first line of defense for customer service and troubleshooting, help desk workers need to have the right technical and soft skills for the job.

Software 143

Software Big Data Testing Management 143

AWS Big Data

APRIL 4, 2024

Griffin is an open source data quality solution for big data, which supports both batch and streaming mode. In today’s data-driven landscape, where organizations deal with petabytes of data, the need for automated data validation frameworks has become increasingly critical.

Data Quality 60

Data Quality Data Lake Data Warehouse Data-driven 60

Insight

MAY 20, 2020

Hadoop is one of the most mature and well-known open-source big data frameworks on the market. Sprung from the concepts described in a paper about a distributed file system created at Google and implementing the MapReduce algorithm made famous by Google, Hadoop was first released by the open-source community in 2006.

Interactive 98

Interactive Metadata Publishing IT 98

Cloudera

NOVEMBER 10, 2021

For big data platforms like Cloudera’s stack that are used by multiple business units with many users, upgrading even minor versions must be a well-planned activity to reduce the impact to users and business. This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP.

Data Lake 74

Data Lake Management Metadata Modeling 74

Jen Stirrup

MAY 5, 2020

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. In this topic, we’re going to focus specifically on Big Data technologies, such as your HDInsight, Apache Spark and Databricks.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

AWS Big Data

JULY 19, 2023

Today, we are pleased to announce a new AWS Glue connector for Google Cloud Storage that allows you to move data bi-directionally between Google Cloud Storage and Amazon Simple Storage Service (Amazon S3). How the connector works This connector relies on the Spark DataSource API in AWS Glue and calls Hadoop’s FileSystem interface.

Big Data 79

Big Data Software Consulting Unstructured Data 79

AWS Big Data

MARCH 12, 2024

Background In late 2020, GoDaddy’s data platform initiated its AWS Cloud journey, migrating an 800-node Hadoop cluster with 2.5 PB of data from its data center to EMR on EC2. By early 2022, we successfully migrated our big data workloads to EMR on EC2. Hadoop Distribution Amazon 3.3.3. HCatalog 3.1.3.

Cost-Benefit 88

Cost-Benefit Optimization Big Data Metrics 88

Cloudera

FEBRUARY 7, 2019

A key pillar in the transformation journey is focused on robust data operations that can help ATB deliver timely, relevant and delightful service. The company has shifted from developing tools to now providing services, which has brought additional productivity and enhanced the customer experience.

Big Data 63

Big Data Data Analytics Analytics Data Architecture 63

AWS Big Data

JULY 27, 2023

Amazon EMR is the cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark , Apache Hive , and Presto. About the Authors Ravi Kumar is a Senior Product Manager for Amazon EMR at Amazon Web Services. and higher.

Big Data 73

Big Data Optimization Interactive Data Processing 73

Smart Data Collective

MARCH 28, 2022

Modern businesses that neglect to invest in big data are at a tremendous disadvantage in an evolving global economy. Smart companies realize that data mining serves many important purposes that cannot be overlooked. You can use a Hadoop interface to find the information that you need when you gain access to these reports.

Data mining 99

Data mining Customer Analytics Marketing Advertising 99

AWS Big Data

AUGUST 11, 2023

Services like Amazon EMR focus on offering you flexibility to support data processing workloads at scale using frameworks you’re accustomed to. Serverless services like AWS Glue minimize the need to think about servers and focus on offering additional productivity and DataOps tooling for accelerating data pipeline development.

Data Processing 94

Data Processing Cost-Benefit Optimization Interactive 94

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 90

Analytics IoT Cost-Benefit Big Data 90

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. root@ ~]# ozone s3 getsecret --om-service-id=ozone1. STORED AS TEXTFILE.

Data Science 107

Data Science Forecasting Metadata Machine Learning 107

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . Big Data” became a topic of conversations and the term “Cloud” was coined. .

Data Processing 82

Data Processing IoT Cost-Benefit Digital Transformation 82

Smart Data Collective

MARCH 21, 2022

It gained acceptance more than a decade ago when the industry was waking up to the potential urgency of big data that we are witnessing today. The Hadoop library enabled distributed processing across all points of data storage. However, all of these may not be effective in the fast-changing data landscape.

Management 66

Management Data Lake Uncertainty Data Warehouse 66

Smart Data Collective

MARCH 30, 2022

You can figure out how to take the online market for your goods and services by storm by following our guide to creating an e-commerce store! Companies that know how to leverage analytics will have the following advantages: They will be able to use predictive analytics tools to anticipate future demand of products and services.

Analytics 117

Analytics Cost-Benefit Testing Dashboards 117

Smart Data Collective

FEBRUARY 14, 2021

Big data is fundamental to the future of software development. A growing number of developers are finding ways to utilize data analytics to streamline technology rollouts. Data-driven solutions are particularly important for SaaS technology. Big Data Technology is Pivotal to SaaS Deployments.

Data-driven 87

Data-driven Big Data Deep Learning Software 87

FineReport

MARCH 24, 2024

Additionally, they facilitate organizational risk assessments, provide consulting services to leadership, and mentor junior analysts. Proficiency in programming languages such as R and SAS is essential for data gathering, cleaning, and visualization.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

AUGUST 9, 2023

Organizations that use data analysis to improve their profitability can use the following techniques to streamline their operations and reorient their business workflows. Cut Down on Your Churn Rate No matter how good a given service is, some customers will stop using it over time.

Data Analytics 86

Data Analytics Analytics Sales Interactive 86

AWS Big Data

JANUARY 30, 2023

We ran both the tests with data in Amazon Simple Storage Service (Amazon S3). However, for a benchmarking exercise where we compare two platforms purely on performance, and test data volumes don’t change (3 TB in our case), we believe it’s best to avoid variability in order to run an apples-to-apples comparison. workloads 1.7

Testing 65

Testing Data Lake Big Data Optimization 65

Smart Data Collective

JUNE 3, 2019

In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. This time, I will focus on the financial services industry based on previous IBM studies in this industry and some personal experiences. The creation of useful data now extends beyond the control of banks.

Big Data 73

Big Data Cost-Benefit Unstructured Data Risk 73

Jet Global

JULY 2, 2019

However, storage is only one component of a data lake, the other being the ability to run analysis on the structured, unstructured, relational and non-relational data to identify areas of opportunity or focus. Analysis can be performed on data lake contents via Azure’s analytics job service or the HDInsight analytics service.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. The company currently has Hadoop clusters deployed in both on-prem and cloud.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

AWS Big Data

FEBRUARY 20, 2024

The contacted framework uses a custom authenticator that performs the authentication using the EMR Secret Agent service running inside the cluster instances. The EMR Secret Agent service validates the provided credentials against the LDAP endpoint. The contacted SSHD service uses the SSSD service to validate the provided credentials.

Testing 82

Testing Data Processing Interactive Management 82