Sanjeev Mohan

JANUARY 15, 2018

I have been working as a research analyst responsible for the Big Data topics for the last year. I plan to regularly post my blogs here. So, my goal is to write about all things data. However, for my first blog, I thought of writing a paean to my admiration for data.

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Data Lake IoT Big Data Interactive 45

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 49

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Cloudera

DECEMBER 19, 2018

Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud computing has passed the tipping point, with most organizations comfortable moving critical data and applications to the public cloud. Big Data Technologies and Architectures.

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Data Warehouse Analytics Big Data Data Architecture 54

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.

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Data Lake Finance Data Governance Big Data 47

Sisense

JUNE 12, 2019

Soon after, we announced the release of Sisense Hunch which provides the ability to transform even the most massive data sets into a deep neural net which can be placed anywhere, even on an IoT device. Stay tuned for more blogs by me as we roll these capabilities out!). Living in a World of Big Data.

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Analytics Data-driven Dashboards IoT 75

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

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Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

JUNE 7, 2023

This is a guest blog post co-written with Sumesh M R from Cargotec and Tero Karttunen from Knowit Finland. Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. They are headquartered in Helsinki, Finland, and operates globally in over 100 countries.

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Metadata Data Lake Machine Learning Big Data 55

BizAcuity

MAY 10, 2022

And how this transformation will impact businesses in the short and long run is the main discussion in this blog. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. 2018: IoT and edge computing open up new opportunities for organizations.

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Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

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Big Data Data Lake Internet of Things Enterprise 45

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data fabric and data mesh as concepts have overlaps.

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Data Lake Data Warehouse Data-driven Metadata 52

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

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IoT Prescriptive Analytics Digital Transformation Internet of Things 74

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . Crucially, the data mesh links the fabric and the lakehouse to the highest levels of the business, to LOB leaders, and enables the deployment of data as a strategic asset rather than a mere cost. .

Data Architecture 86

Data Architecture Cost-Benefit Digital Transformation Business Driver 86

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Big data challenges and solutions. Dig into AI.

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Modeling Big Data IoT Data Warehouse 84

Alation

APRIL 14, 2022

A cloud environment with such features will support collaboration across departments and across common data types, including csv, JSON, XML, AVRO, Parquet, Hyper, TDE, and more. It’s More Important to Know What Your Data Means Than Where It Is. Pushing data to a data lake and assuming it is ready for use is shortsighted.

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Metadata Data Governance Modeling Data-driven 59

Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. The result is an analytics environment where critical business context is surfaced immediately and data governance programs can be connected to and drive business outcomes that matter.

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