CIO Business Intelligence

JANUARY 6, 2023

Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems. Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop.

Software 143

Software Big Data Testing Management 143

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.

Cost-Benefit 88

Cost-Benefit Optimization Big Data Metrics 88

AWS Big Data

OCTOBER 20, 2023

One of the data sources you can now quickly integrate with is Azure Blob Storage, a managed service for storing both unstructured data and structured data, and Azure Data Lake Storage, a data lake for analytics workloads. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Data Lake 80

Data Lake Big Data Consulting Data Warehouse 80

Cloudera

FEBRUARY 7, 2019

Who knew that in that search, the company would become the first organization to globally run SAS Viya, a cloud-optimized software, with HDP on GCP to enable modern analytics use cases powered by SAS analytics tools. Implementing a Modern Data Architecture. Reducing Analytic Time to Value by More Than 90 Percent.

Big Data 63

Big Data Data Analytics Analytics Data Architecture 63

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

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

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

AWS Big Data

JULY 19, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. 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

AUGUST 11, 2023

Customers are implementing data and analytics workloads in the AWS Cloud to optimize cost. When implementing data processing workloads in AWS, you have the option to use technologies like Amazon EMR or serverless technologies like AWS Glue. In phase 1, Ontraport implemented an ETL workload with Amazon EMR.

Data Processing 94

Data Processing Cost-Benefit Optimization Interactive 94

IBM Big Data Hub

MARCH 21, 2024

Artificial intelligence (AI) is revolutionizing industries by enabling advanced analytics, automation and personalized experiences. Enterprises have reported a 30% productivity gain in application modernization after implementing Gen AI.

Optimization 66

Optimization Software Data-driven Consulting 66

Smart Data Collective

MARCH 21, 2022

More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. Data Mesh is gaining a stronger foundation.

Management 66

Management Data Lake Uncertainty Data Warehouse 66

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. To cater to these dynamic workloads, you can resize your clusters either manually or by enabling automatic scaling.

Big Data 73

Big Data Optimization Interactive Data Processing 73

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Deploying Data Lakes in the cloud. While doing Hadoop in the cloud, design around object storage.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Jet Global

JULY 2, 2019

For example, Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed—and do all types of processing and analytics across platforms and languages. Future-Proofing your Data.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

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 analytics and data platform is powering different data needs, use cases, and growth.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

AWS Big Data

JANUARY 30, 2023

If you see any error messages, double-check the config file values, especially the Spark and Hadoop versions and the attributes of download-source and the AMI. Enable Snappy support in Hadoop (the benchmark job reads Snappy compressed data). Specialist Solutions Architect at AWS focused on Big Data and Analytics.

Testing 65

Testing Data Lake Big Data Optimization 65

Analytics Vidhya

DECEMBER 30, 2022

The post Introduction to Apache Kafka: Fundamentals and Working appeared first on Analytics Vidhya. Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon?

Data Science 290

Data Science Publishing Analytics Big Data 290

AWS Big Data

JANUARY 17, 2024

In this post, we demonstrate how to implement FGAC on Apache Hudi tables using Amazon EMR integrated with Lake Formation. Transaction data lake use case Amazon EMR customers often use Open Table Formats to support their ACID transaction and time travel needs in a data lake. For Data filter name , enter customer-pii-filter.

Data Lake 89

Data Lake Snapshot Big Data Data-driven 89

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. Big Data’s promise of value in the financial services industry is particularly differentiating. Customer-focused analysis dominates Big Data initiatives.

Big Data 73

Big Data Cost-Benefit Unstructured Data Risk 73

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. The ETL driver file implements the Spark driver logic. Make sure to select Use for Spark table metadata under AWS Glue Data Catalog settings. sample_data/ddl/states_current.q

Metadata 76

Metadata Testing Data Lake Consulting 76

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital.

Statistics 97

Statistics Metrics Visualization Finance 97

Sisense

MAY 27, 2019

So, given the choice, which analytics job title should you choose: A data engineer or a data scientist? Their key task is to find it, retrieve it, ensure that it’s easily accessible, and build the infrastructure that facilitates data generation. You just need the right person to make this happen.

Statistics 75

Statistics Machine Learning Visualization Big Data 75

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). Azure Text Analytics.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. The customer leverages Cloudera’s multi-function analytics stack in CDP.

Testing 130

Testing Metadata Risk Data Science 130

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Breaking down data silos.

Data Lake 46

Data Lake Finance Data Governance Big Data 46

AWS Big Data

MAY 18, 2023

amzn-0 Hadoop 3.2.1-amzn-8 AWS Glue Data Catalog client 3.6.0 About the authors Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. option("url", url).option("dbtable", option("dbtable", dbtable).option("tempdir",

Testing 74

Testing Data Lake Cost-Benefit Data Integration 74

AWS Big Data

OCTOBER 4, 2023

Amazon EMR provides a managed Hadoop framework that makes it straightforward, fast, and cost-effective to process vast amounts of data using EC2 instances. Amazon EMR with Spot Instances allows you to reduce costs for running your big data workloads on AWS. By default, Amazon EMR release 6.9.0 Create an EMR 6.9.0

Big Data 78

Big Data Optimization Data-driven Management 78

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Frankly, that makes sense, if implemented well.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

OCTOBER 5, 2023

In the legacy big data and Hadoop clusters as well as Amazon EMR provisioned clusters, this problem was overcome by Yarn resource management and defining what were called Yarn queues for different workloads or teams. In this post, we show how to define per-team resource limits for big data workloads using EMR serverless.

Big Data 59

Big Data Cost-Benefit Testing Metrics 59

AWS Big Data

APRIL 26, 2024

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity and Access Management (IAM) roles with different data permissions and map the workforce users to one of those roles. AWS CloudTrail captures user data access activities.

Analytics 81

Analytics Data Lake Management Enterprise 81

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 307

Testing Machine Learning Consulting Data Quality 307

AWS Big Data

FEBRUARY 13, 2023

Amazon EMR provides a managed Apache Hadoop framework that makes it straightforward, fast, and cost-effective to run Apache HBase. Apache HBase is a massively scalable, distributed big data store in the Apache Hadoop ecosystem. Big Data Specialist Solutions Architect at AWS.

Management 73

Management Metrics Dashboards Big Data 73

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Manufacturing, where the data they generate can provide new business opportunities like predictive maintenance in addition to improving their operational efficiency.

Metadata 86

Metadata Big Data Optimization Unstructured Data 86

Cloudera

AUGUST 31, 2020

New data formats can be added in LLAP easily through the flexibility provided by Hive. Moreover, LLAP drastically reduces traditional Hive overhead when executing SQL, enabling near real time queries and ad-hoc analytics. Oalva brought years of big data, data warehouse and Hadoop expertise to the table.

Slice and Dice 62

Slice and Dice Management Data Warehouse Analytics 62

AWS Big Data

JUNE 19, 2023

When it comes to near-real-time analysis of data as it arrives in Security Lake and responding to security events your company cares about, Amazon OpenSearch Service provides the necessary tooling to help you make sense of the data found in Security Lake. The solution we provide in this post uses a subscriber for data access.

Publishing 81

Publishing Dashboards Visualization Management 81